diff --git a/airflow/providers/apache/beam/provider.yaml b/airflow/providers/apache/beam/provider.yaml
index 4000776d102bd..bf23c51d00deb 100644
--- a/airflow/providers/apache/beam/provider.yaml
+++ b/airflow/providers/apache/beam/provider.yaml
@@ -43,7 +43,7 @@ versions:
 
 dependencies:
   - apache-airflow>=2.4.0
-  - apache-beam>=2.33.0
+  - apache-beam>=2.47.0
 
 integrations:
   - integration-name: Apache Beam
diff --git a/airflow/providers/google/ads/hooks/ads.py b/airflow/providers/google/ads/hooks/ads.py
index eadc9cacbab3c..f55f01a7a81cf 100644
--- a/airflow/providers/google/ads/hooks/ads.py
+++ b/airflow/providers/google/ads/hooks/ads.py
@@ -21,26 +21,18 @@
 from tempfile import NamedTemporaryFile
 from typing import IO, Any
 
+from google.ads.googleads.client import GoogleAdsClient
+from google.ads.googleads.errors import GoogleAdsException
+from google.ads.googleads.v12.services.services.customer_service import CustomerServiceClient
+from google.ads.googleads.v12.services.services.google_ads_service import GoogleAdsServiceClient
+from google.ads.googleads.v12.services.types.google_ads_service import GoogleAdsRow
+from google.api_core.page_iterator import GRPCIterator
 from google.auth.exceptions import GoogleAuthError
 
 from airflow import AirflowException
 from airflow.compat.functools import cached_property
 from airflow.hooks.base import BaseHook
 from airflow.providers.google.common.hooks.base_google import get_field
-from airflow.providers.google_vendor.googleads.client import GoogleAdsClient
-from airflow.providers.google_vendor.googleads.errors import GoogleAdsException
-from airflow.providers.google_vendor.googleads.v12.services.services.customer_service import (
-    CustomerServiceClient,
-)
-from airflow.providers.google_vendor.googleads.v12.services.services.google_ads_service import (
-    GoogleAdsServiceClient,
-)
-from airflow.providers.google_vendor.googleads.v12.services.services.google_ads_service.pagers import (
-    SearchPager,
-)
-from airflow.providers.google_vendor.googleads.v12.services.types.google_ads_service import (
-    GoogleAdsRow,
-)
 
 
 class GoogleAdsHook(BaseHook):
@@ -238,7 +230,7 @@ def _search(
 
         return self._extract_rows(iterators)
 
-    def _extract_rows(self, iterators: list[SearchPager]) -> list[GoogleAdsRow]:
+    def _extract_rows(self, iterators: list[GRPCIterator]) -> list[GoogleAdsRow]:
         """
         Convert Google Page Iterator (GRPCIterator) objects to Google Ads Rows
 
diff --git a/airflow/providers/google/cloud/_internal_client/secret_manager_client.py b/airflow/providers/google/cloud/_internal_client/secret_manager_client.py
index 9ea72e63bbba9..0de1abfdd90ac 100644
--- a/airflow/providers/google/cloud/_internal_client/secret_manager_client.py
+++ b/airflow/providers/google/cloud/_internal_client/secret_manager_client.py
@@ -71,7 +71,7 @@ def get_secret(self, secret_id: str, project_id: str, secret_version: str = "lat
         """
         name = self.client.secret_version_path(project_id, secret_id, secret_version)
         try:
-            response = self.client.access_secret_version(name)
+            response = self.client.access_secret_version(request={"name": name})
             value = response.payload.data.decode("UTF-8")
             return value
         except NotFound:
diff --git a/airflow/providers/google/cloud/example_dags/example_compute.py b/airflow/providers/google/cloud/example_dags/example_compute.py
deleted file mode 100644
index e42cb6d962ed2..0000000000000
--- a/airflow/providers/google/cloud/example_dags/example_compute.py
+++ /dev/null
@@ -1,107 +0,0 @@
-#
-# Licensed to the Apache Software Foundation (ASF) under one
-# or more contributor license agreements.  See the NOTICE file
-# distributed with this work for additional information
-# regarding copyright ownership.  The ASF licenses this file
-# to you under the Apache License, Version 2.0 (the
-# "License"); you may not use this file except in compliance
-# with the License.  You may obtain a copy of the License at
-#
-#   http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing,
-# software distributed under the License is distributed on an
-# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
-# KIND, either express or implied.  See the License for the
-# specific language governing permissions and limitations
-# under the License.
-"""
-Example Airflow DAG that starts, stops and sets the machine type of a Google Compute
-Engine instance.
-
-This DAG relies on the following OS environment variables
-
-* GCP_PROJECT_ID - Google Cloud project where the Compute Engine instance exists.
-* GCE_ZONE - Google Cloud zone where the instance exists.
-* GCE_INSTANCE - Name of the Compute Engine instance.
-* GCE_SHORT_MACHINE_TYPE_NAME - Machine type resource name to set, e.g. 'n1-standard-1'.
-    See https://cloud.google.com/compute/docs/machine-types
-"""
-from __future__ import annotations
-
-import os
-from datetime import datetime
-
-from airflow import models
-from airflow.models.baseoperator import chain
-from airflow.providers.google.cloud.operators.compute import (
-    ComputeEngineSetMachineTypeOperator,
-    ComputeEngineStartInstanceOperator,
-    ComputeEngineStopInstanceOperator,
-)
-
-# [START howto_operator_gce_args_common]
-GCP_PROJECT_ID = os.environ.get("GCP_PROJECT_ID", "example-project")
-GCE_ZONE = os.environ.get("GCE_ZONE", "europe-west1-b")
-GCE_INSTANCE = os.environ.get("GCE_INSTANCE", "testinstance")
-# [END howto_operator_gce_args_common]
-
-
-GCE_SHORT_MACHINE_TYPE_NAME = os.environ.get("GCE_SHORT_MACHINE_TYPE_NAME", "n1-standard-1")
-
-
-with models.DAG(
-    "example_gcp_compute",
-    start_date=datetime(2021, 1, 1),
-    catchup=False,
-    tags=["example"],
-) as dag:
-    # [START howto_operator_gce_start]
-    gce_instance_start = ComputeEngineStartInstanceOperator(
-        project_id=GCP_PROJECT_ID, zone=GCE_ZONE, resource_id=GCE_INSTANCE, task_id="gcp_compute_start_task"
-    )
-    # [END howto_operator_gce_start]
-    # Duplicate start for idempotence testing
-    # [START howto_operator_gce_start_no_project_id]
-    gce_instance_start2 = ComputeEngineStartInstanceOperator(
-        zone=GCE_ZONE, resource_id=GCE_INSTANCE, task_id="gcp_compute_start_task2"
-    )
-    # [END howto_operator_gce_start_no_project_id]
-    # [START howto_operator_gce_stop]
-    gce_instance_stop = ComputeEngineStopInstanceOperator(
-        project_id=GCP_PROJECT_ID, zone=GCE_ZONE, resource_id=GCE_INSTANCE, task_id="gcp_compute_stop_task"
-    )
-    # [END howto_operator_gce_stop]
-    # Duplicate stop for idempotence testing
-    # [START howto_operator_gce_stop_no_project_id]
-    gce_instance_stop2 = ComputeEngineStopInstanceOperator(
-        zone=GCE_ZONE, resource_id=GCE_INSTANCE, task_id="gcp_compute_stop_task2"
-    )
-    # [END howto_operator_gce_stop_no_project_id]
-    # [START howto_operator_gce_set_machine_type]
-    gce_set_machine_type = ComputeEngineSetMachineTypeOperator(
-        project_id=GCP_PROJECT_ID,
-        zone=GCE_ZONE,
-        resource_id=GCE_INSTANCE,
-        body={"machineType": f"zones/{GCE_ZONE}/machineTypes/{GCE_SHORT_MACHINE_TYPE_NAME}"},
-        task_id="gcp_compute_set_machine_type",
-    )
-    # [END howto_operator_gce_set_machine_type]
-    # Duplicate set machine type for idempotence testing
-    # [START howto_operator_gce_set_machine_type_no_project_id]
-    gce_set_machine_type2 = ComputeEngineSetMachineTypeOperator(
-        zone=GCE_ZONE,
-        resource_id=GCE_INSTANCE,
-        body={"machineType": f"zones/{GCE_ZONE}/machineTypes/{GCE_SHORT_MACHINE_TYPE_NAME}"},
-        task_id="gcp_compute_set_machine_type2",
-    )
-    # [END howto_operator_gce_set_machine_type_no_project_id]
-
-    chain(
-        gce_instance_start,
-        gce_instance_start2,
-        gce_instance_stop,
-        gce_instance_stop2,
-        gce_set_machine_type,
-        gce_set_machine_type2,
-    )
diff --git a/airflow/providers/google/cloud/example_dags/example_compute_ssh.py b/airflow/providers/google/cloud/example_dags/example_compute_ssh.py
deleted file mode 100644
index 044789aec2a7e..0000000000000
--- a/airflow/providers/google/cloud/example_dags/example_compute_ssh.py
+++ /dev/null
@@ -1,90 +0,0 @@
-# Licensed to the Apache Software Foundation (ASF) under one
-# or more contributor license agreements.  See the NOTICE file
-# distributed with this work for additional information
-# regarding copyright ownership.  The ASF licenses this file
-# to you under the Apache License, Version 2.0 (the
-# "License"); you may not use this file except in compliance
-# with the License.  You may obtain a copy of the License at
-#
-#   http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing,
-# software distributed under the License is distributed on an
-# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
-# KIND, either express or implied.  See the License for the
-# specific language governing permissions and limitations
-# under the License.
-from __future__ import annotations
-
-import os
-from datetime import datetime
-
-from airflow import models
-from airflow.providers.google.cloud.hooks.compute_ssh import ComputeEngineSSHHook
-from airflow.providers.ssh.operators.ssh import SSHOperator
-
-# [START howto_operator_gce_args_common]
-GCP_PROJECT_ID = os.environ.get("GCP_PROJECT_ID", "example-project")
-GCE_ZONE = os.environ.get("GCE_ZONE", "europe-west2-a")
-GCE_INSTANCE = os.environ.get("GCE_INSTANCE", "target-instance")
-# [END howto_operator_gce_args_common]
-
-with models.DAG(
-    "example_compute_ssh",
-    start_date=datetime(2021, 1, 1),
-    catchup=False,
-    tags=["example"],
-) as dag:
-    # # [START howto_execute_command_on_remote1]
-    os_login_without_iap_tunnel = SSHOperator(
-        task_id="os_login_without_iap_tunnel",
-        ssh_hook=ComputeEngineSSHHook(
-            instance_name=GCE_INSTANCE,
-            zone=GCE_ZONE,
-            project_id=GCP_PROJECT_ID,
-            use_oslogin=True,
-            use_iap_tunnel=False,
-        ),
-        command="echo os_login_without_iap_tunnel",
-    )
-    # # [END howto_execute_command_on_remote1]
-
-    # # [START howto_execute_command_on_remote2]
-    metadata_without_iap_tunnel = SSHOperator(
-        task_id="metadata_without_iap_tunnel",
-        ssh_hook=ComputeEngineSSHHook(
-            instance_name=GCE_INSTANCE,
-            zone=GCE_ZONE,
-            use_oslogin=False,
-            use_iap_tunnel=False,
-        ),
-        command="echo metadata_without_iap_tunnel",
-    )
-    # # [END howto_execute_command_on_remote2]
-
-    os_login_with_iap_tunnel = SSHOperator(
-        task_id="os_login_with_iap_tunnel",
-        ssh_hook=ComputeEngineSSHHook(
-            instance_name=GCE_INSTANCE,
-            zone=GCE_ZONE,
-            use_oslogin=True,
-            use_iap_tunnel=True,
-        ),
-        command="echo os_login_with_iap_tunnel",
-    )
-
-    metadata_with_iap_tunnel = SSHOperator(
-        task_id="metadata_with_iap_tunnel",
-        ssh_hook=ComputeEngineSSHHook(
-            instance_name=GCE_INSTANCE,
-            zone=GCE_ZONE,
-            use_oslogin=False,
-            use_iap_tunnel=True,
-        ),
-        command="echo metadata_with_iap_tunnel",
-    )
-
-    os_login_with_iap_tunnel >> os_login_without_iap_tunnel
-    metadata_with_iap_tunnel >> metadata_without_iap_tunnel
-
-    os_login_without_iap_tunnel >> metadata_with_iap_tunnel
diff --git a/airflow/providers/google/cloud/hooks/automl.py b/airflow/providers/google/cloud/hooks/automl.py
index 6e7e5aa005746..e14bb9044fcbb 100644
--- a/airflow/providers/google/cloud/hooks/automl.py
+++ b/airflow/providers/google/cloud/hooks/automl.py
@@ -48,6 +48,7 @@
 )
 from google.protobuf.field_mask_pb2 import FieldMask
 
+from airflow import AirflowException
 from airflow.compat.functools import cached_property
 from airflow.providers.google.common.consts import CLIENT_INFO
 from airflow.providers.google.common.hooks.base_google import PROVIDE_PROJECT_ID, GoogleBaseHook
@@ -93,6 +94,14 @@ def get_conn(self) -> AutoMlClient:
             self._client = AutoMlClient(credentials=self.get_credentials(), client_info=CLIENT_INFO)
         return self._client
 
+    def wait_for_operation(self, operation: Operation, timeout: float | None = None):
+        """Waits for long-lasting operation to complete."""
+        try:
+            return operation.result(timeout=timeout)
+        except Exception:
+            error = operation.exception(timeout=timeout)
+            raise AirflowException(error)
+
     @cached_property
     def prediction_client(self) -> PredictionServiceClient:
         """
diff --git a/airflow/providers/google/cloud/hooks/bigquery.py b/airflow/providers/google/cloud/hooks/bigquery.py
index a091dd73fe200..1d6a460831fea 100644
--- a/airflow/providers/google/cloud/hooks/bigquery.py
+++ b/airflow/providers/google/cloud/hooks/bigquery.py
@@ -45,6 +45,7 @@
     LoadJob,
     QueryJob,
     SchemaField,
+    UnknownJob,
 )
 from google.cloud.bigquery.dataset import AccessEntry, Dataset, DatasetListItem, DatasetReference
 from google.cloud.bigquery.table import EncryptionConfiguration, Row, RowIterator, Table, TableReference
@@ -319,7 +320,7 @@ def create_empty_table(
         view: dict | None = None,
         materialized_view: dict | None = None,
         encryption_configuration: dict | None = None,
-        retry: Retry | None = DEFAULT_RETRY,
+        retry: Retry = DEFAULT_RETRY,
         location: str | None = None,
         exists_ok: bool = True,
     ) -> Table:
@@ -1062,7 +1063,9 @@ def get_datasets_list(
         # If iterator is requested, we cannot perform a list() on it to log the number
         # of datasets because we will have started iteration
         if return_iterator:
-            return iterator
+            # The iterator returned by list_datasets() is a HTTPIterator but annotated
+            # as Iterator
+            return iterator  #  type: ignore
 
         datasets_list = list(iterator)
         self.log.info("Datasets List: %s", len(datasets_list))
@@ -1294,9 +1297,9 @@ def list_rows(
             selected_fields = selected_fields.split(",")
 
         if selected_fields:
-            selected_fields = [SchemaField(n, "") for n in selected_fields]
+            selected_fields_sequence = [SchemaField(n, "") for n in selected_fields]
         else:
-            selected_fields = None
+            selected_fields_sequence = None
 
         table = self._resolve_table_reference(
             table_resource={},
@@ -1307,7 +1310,7 @@ def list_rows(
 
         iterator = self.get_client(project_id=project_id, location=location).list_rows(
             table=Table.from_api_repr(table),
-            selected_fields=selected_fields,
+            selected_fields=selected_fields_sequence,
             max_results=max_results,
             page_token=page_token,
             start_index=start_index,
@@ -1503,17 +1506,17 @@ def cancel_job(
     @GoogleBaseHook.fallback_to_default_project_id
     def get_job(
         self,
-        job_id: str | None = None,
+        job_id: str,
         project_id: str | None = None,
         location: str | None = None,
-    ) -> CopyJob | QueryJob | LoadJob | ExtractJob:
+    ) -> CopyJob | QueryJob | LoadJob | ExtractJob | UnknownJob:
         """
         Retrieves a BigQuery job. For more information see:
         https://cloud.google.com/bigquery/docs/reference/v2/jobs
 
         :param job_id: The ID of the job. The ID must contain only letters (a-z, A-Z),
             numbers (0-9), underscores (_), or dashes (-). The maximum length is 1,024
-            characters. If not provided then uuid will be generated.
+            characters.
         :param project_id: Google Cloud Project where the job is running
         :param location: location the job is running
         """
@@ -1570,14 +1573,14 @@ def insert_job(
             "jobReference": {"jobId": job_id, "projectId": project_id, "location": location},
         }
 
-        supported_jobs = {
+        supported_jobs: dict[str, type[CopyJob] | type[QueryJob] | type[LoadJob] | type[ExtractJob]] = {
             LoadJob._JOB_TYPE: LoadJob,
             CopyJob._JOB_TYPE: CopyJob,
             ExtractJob._JOB_TYPE: ExtractJob,
             QueryJob._JOB_TYPE: QueryJob,
         }
 
-        job = None
+        job: type[CopyJob] | type[QueryJob] | type[LoadJob] | type[ExtractJob] | None = None
         for job_type, job_object in supported_jobs.items():
             if job_type in configuration:
                 job = job_object
@@ -1585,15 +1588,15 @@ def insert_job(
 
         if not job:
             raise AirflowException(f"Unknown job type. Supported types: {supported_jobs.keys()}")
-        job = job.from_api_repr(job_data, client)
-        self.log.info("Inserting job %s", job.job_id)
+        job_api_repr = job.from_api_repr(job_data, client)
+        self.log.info("Inserting job %s", job_api_repr.job_id)
         if nowait:
             # Initiate the job and don't wait for it to complete.
-            job._begin()
+            job_api_repr._begin()
         else:
             # Start the job and wait for it to complete and get the result.
-            job.result(timeout=timeout, retry=retry)
-        return job
+            job_api_repr.result(timeout=timeout, retry=retry)
+        return job_api_repr
 
     def run_with_configuration(self, configuration: dict) -> str:
         """
@@ -2527,7 +2530,7 @@ def get_datasets_list(self, *args, **kwargs) -> list | HTTPIterator:
         )
         return self.hook.get_datasets_list(*args, **kwargs)
 
-    def get_dataset(self, *args, **kwargs) -> dict:
+    def get_dataset(self, *args, **kwargs) -> Dataset:
         """
         This method is deprecated.
         Please use `airflow.providers.google.cloud.hooks.bigquery.BigQueryHook.get_dataset`
@@ -2671,7 +2674,7 @@ def run_copy(self, *args, **kwargs) -> str:
         )
         return self.hook.run_copy(*args, **kwargs)
 
-    def run_extract(self, *args, **kwargs) -> str:
+    def run_extract(self, *args, **kwargs) -> str | BigQueryJob:
         """
         This method is deprecated.
         Please use `airflow.providers.google.cloud.hooks.bigquery.BigQueryHook.run_extract`
diff --git a/airflow/providers/google/cloud/hooks/bigtable.py b/airflow/providers/google/cloud/hooks/bigtable.py
index 999d141547555..c1e573a85a738 100644
--- a/airflow/providers/google/cloud/hooks/bigtable.py
+++ b/airflow/providers/google/cloud/hooks/bigtable.py
@@ -263,6 +263,8 @@ def update_cluster(instance: Instance, cluster_id: str, nodes: int) -> None:
         :param nodes: The desired number of nodes.
         """
         cluster = Cluster(cluster_id, instance)
+        # "reload" is required to set location_id attribute on cluster.
+        cluster.reload()
         cluster.serve_nodes = nodes
         cluster.update()
 
diff --git a/airflow/providers/google/cloud/hooks/cloud_sql.py b/airflow/providers/google/cloud/hooks/cloud_sql.py
index 4b430fa02ed11..69c35dc0f1333 100644
--- a/airflow/providers/google/cloud/hooks/cloud_sql.py
+++ b/airflow/providers/google/cloud/hooks/cloud_sql.py
@@ -199,7 +199,11 @@ def delete_instance(self, instance: str, project_id: str) -> None:
             .execute(num_retries=self.num_retries)
         )
         operation_name = response["name"]
-        self._wait_for_operation_to_complete(project_id=project_id, operation_name=operation_name)
+        # For some delete instance operations, the operation stops being available ~9 seconds after
+        # completion, so we need a shorter sleep time to make sure we don't miss the DONE status.
+        self._wait_for_operation_to_complete(
+            project_id=project_id, operation_name=operation_name, time_to_sleep=5
+        )
 
     @GoogleBaseHook.fallback_to_default_project_id
     def get_database(self, instance: str, database: str, project_id: str) -> dict:
@@ -355,7 +359,7 @@ def clone_instance(self, instance: str, body: dict, project_id: str) -> None:
         :param instance: Database instance ID to be used for the clone. This does not include the
             project ID.
         :param body: The request body, as described in
-            https://cloud.google.com/sql/docs/mysql/admin-api/rest/v1/instances/clone
+            https://cloud.google.com/sql/docs/mysql/admin-api/rest/v1beta4/instances/clone
         :param project_id: Project ID of the project that contains the instance. If set
             to None or missing, the default project_id from the Google Cloud connection is used.
         :return: None
@@ -372,13 +376,16 @@ def clone_instance(self, instance: str, body: dict, project_id: str) -> None:
         except HttpError as ex:
             raise AirflowException(f"Cloning of instance {instance} failed: {ex.content}")
 
-    def _wait_for_operation_to_complete(self, project_id: str, operation_name: str) -> None:
+    def _wait_for_operation_to_complete(
+        self, project_id: str, operation_name: str, time_to_sleep: int = TIME_TO_SLEEP_IN_SECONDS
+    ) -> None:
         """
         Waits for the named operation to complete - checks status of the
         asynchronous call.
 
         :param project_id: Project ID of the project that contains the instance.
         :param operation_name: Name of the operation.
+        :param time_to_sleep: Time to sleep between active checks of the operation results.
         :return: None
         """
         service = self.get_conn()
@@ -396,7 +403,7 @@ def _wait_for_operation_to_complete(self, project_id: str, operation_name: str)
                     raise AirflowException(error_msg)
                 # No meaningful info to return from the response in case of success
                 return
-            time.sleep(TIME_TO_SLEEP_IN_SECONDS)
+            time.sleep(time_to_sleep)
 
 
 CLOUD_SQL_PROXY_DOWNLOAD_URL = "https://dl.google.com/cloudsql/cloud_sql_proxy.{}.{}"
diff --git a/airflow/providers/google/cloud/hooks/compute.py b/airflow/providers/google/cloud/hooks/compute.py
index 8b839c595a49f..a6cde83425226 100644
--- a/airflow/providers/google/cloud/hooks/compute.py
+++ b/airflow/providers/google/cloud/hooks/compute.py
@@ -122,7 +122,7 @@ def insert_instance_template(
         :param metadata: Additional metadata that is provided to the method.
         """
         client = self.get_compute_instance_template_client()
-        client.insert(
+        operation = client.insert(
             # Calling method insert() on client to create Instance Template.
             # This method accepts request object as an argument and should be of type
             # Union[google.cloud.compute_v1.types.InsertInstanceTemplateRequest, dict] to construct a request
@@ -143,6 +143,7 @@ def insert_instance_template(
             timeout=timeout,
             metadata=metadata,
         )
+        self._wait_for_operation_to_complete(operation_name=operation.name, project_id=project_id)
 
     @GoogleBaseHook.fallback_to_default_project_id
     def delete_instance_template(
@@ -174,7 +175,7 @@ def delete_instance_template(
         :param metadata: Additional metadata that is provided to the method.
         """
         client = self.get_compute_instance_template_client()
-        client.delete(
+        operation = client.delete(
             # Calling method delete() on client to delete Instance Template.
             # This method accepts request object as an argument and should be of type
             # Union[google.cloud.compute_v1.types.DeleteInstanceTemplateRequest, dict] to
@@ -195,6 +196,7 @@ def delete_instance_template(
             timeout=timeout,
             metadata=metadata,
         )
+        self._wait_for_operation_to_complete(operation_name=operation.name, project_id=project_id)
 
     @GoogleBaseHook.fallback_to_default_project_id
     def get_instance_template(
@@ -222,7 +224,7 @@ def get_instance_template(
         :rtype: object
         """
         client = self.get_compute_instance_template_client()
-        instance_template_obj = client.get(
+        instance_template = client.get(
             # Calling method get() on client to get the specified Instance Template.
             # This method accepts request object as an argument and should be of type
             # Union[google.cloud.compute_v1.types.GetInstanceTemplateRequest, dict] to construct a request
@@ -240,7 +242,7 @@ def get_instance_template(
             timeout=timeout,
             metadata=metadata,
         )
-        return instance_template_obj
+        return instance_template
 
     @GoogleBaseHook.fallback_to_default_project_id
     def insert_instance(
@@ -271,9 +273,8 @@ def insert_instance(
         :param source_instance_template: Existing Instance Template that will be used as a base while
             creating new Instance.
             When specified, only name of new Instance should be provided as input arguments in 'body'
-            parameter when creating new Instance. All other parameters, such as machine_type, disks
-            and network_interfaces and etc will be passed to Instance as they are specified
-            in the Instance Template.
+            parameter when creating new Instance. All other parameters, will be passed to Instance as they
+            are specified in the Instance Template.
             Full or partial URL and can be represented as examples below:
             1. "https://www.googleapis.com/compute/v1/projects/your-project/global/instanceTemplates/temp"
             2. "projects/your-project/global/instanceTemplates/temp"
@@ -289,7 +290,7 @@ def insert_instance(
         :param metadata: Additional metadata that is provided to the method.
         """
         client = self.get_compute_instance_client()
-        client.insert(
+        operation = client.insert(
             # Calling method insert() on client to create Instance.
             # This method accepts request object as an argument and should be of type
             # Union[google.cloud.compute_v1.types.InsertInstanceRequest, dict] to construct a request
@@ -316,6 +317,7 @@ def insert_instance(
             timeout=timeout,
             metadata=metadata,
         )
+        self._wait_for_operation_to_complete(project_id=project_id, operation_name=operation.name, zone=zone)
 
     @GoogleBaseHook.fallback_to_default_project_id
     def get_instance(
@@ -345,7 +347,7 @@ def get_instance(
         :rtype: object
         """
         client = self.get_compute_instance_client()
-        instance_obj = client.get(
+        instance = client.get(
             # Calling method get() on client to get the specified Instance.
             # This method accepts request object as an argument and should be of type
             # Union[google.cloud.compute_v1.types.GetInstanceRequest, dict] to construct a request
@@ -366,7 +368,7 @@ def get_instance(
             timeout=timeout,
             metadata=metadata,
         )
-        return instance_obj
+        return instance
 
     @GoogleBaseHook.fallback_to_default_project_id
     def delete_instance(
@@ -400,7 +402,7 @@ def delete_instance(
         :param metadata: Additional metadata that is provided to the method.
         """
         client = self.get_compute_instance_client()
-        client.delete(
+        operation = client.delete(
             # Calling method delete() on client to delete Instance.
             # This method accepts request object as an argument and should be of type
             # Union[google.cloud.compute_v1.types.DeleteInstanceRequest, dict] to construct a request
@@ -424,6 +426,7 @@ def delete_instance(
             timeout=timeout,
             metadata=metadata,
         )
+        self._wait_for_operation_to_complete(project_id=project_id, operation_name=operation.name, zone=zone)
 
     @GoogleBaseHook.fallback_to_default_project_id
     def start_instance(self, zone: str, resource_id: str, project_id: str) -> None:
@@ -538,7 +541,7 @@ def insert_instance_group_manager(
         :param metadata: Additional metadata that is provided to the method.
         """
         client = self.get_compute_instance_group_managers_client()
-        client.insert(
+        operation = client.insert(
             # Calling method insert() on client to create the specified Instance Group Managers.
             # This method accepts request object as an argument and should be of type
             # Union[google.cloud.compute_v1.types.InsertInstanceGroupManagerRequest, dict] to construct
@@ -562,6 +565,7 @@ def insert_instance_group_manager(
             timeout=timeout,
             metadata=metadata,
         )
+        self._wait_for_operation_to_complete(project_id=project_id, operation_name=operation.name, zone=zone)
 
     @GoogleBaseHook.fallback_to_default_project_id
     def get_instance_group_manager(
@@ -591,7 +595,7 @@ def get_instance_group_manager(
         :rtype: object
         """
         client = self.get_compute_instance_group_managers_client()
-        instance_group_manager_obj = client.get(
+        instance_group_manager = client.get(
             # Calling method get() on client to get the specified Instance Group Manager.
             # This method accepts request object as an argument and should be of type
             # Union[google.cloud.compute_v1.types.GetInstanceGroupManagerRequest, dict] to construct a
@@ -612,7 +616,7 @@ def get_instance_group_manager(
             timeout=timeout,
             metadata=metadata,
         )
-        return instance_group_manager_obj
+        return instance_group_manager
 
     @GoogleBaseHook.fallback_to_default_project_id
     def delete_instance_group_manager(
@@ -645,7 +649,7 @@ def delete_instance_group_manager(
         :param metadata: Additional metadata that is provided to the method.
         """
         client = self.get_compute_instance_group_managers_client()
-        client.delete(
+        operation = client.delete(
             # Calling method delete() on client to delete Instance Group Managers.
             # This method accepts request object as an argument and should be of type
             # Union[google.cloud.compute_v1.types.DeleteInstanceGroupManagerRequest, dict] to construct a
@@ -669,6 +673,7 @@ def delete_instance_group_manager(
             timeout=timeout,
             metadata=metadata,
         )
+        self._wait_for_operation_to_complete(project_id=project_id, operation_name=operation.name, zone=zone)
 
     @GoogleBaseHook.fallback_to_default_project_id
     def patch_instance_group_manager(
@@ -723,10 +728,12 @@ def _wait_for_operation_to_complete(
 
         :param operation_name: name of the operation
         :param zone: optional region of the request (might be None for global operations)
+        :param project_id: Google Cloud project ID where the Compute Engine Instance exists.
         :return: None
         """
         service = self.get_conn()
         while True:
+            self.log.info("Waiting for Operation to complete...")
             if zone is None:
                 operation_response = self._check_global_operation_status(
                     service=service,
@@ -745,6 +752,7 @@ def _wait_for_operation_to_complete(
                     msg = operation_response.get("httpErrorMessage")
                     # Extracting the errors list as string and trimming square braces
                     error_msg = str(error.get("errors"))[1:-1]
+
                     raise AirflowException(f"{code} {msg}: " + error_msg)
                 break
             time.sleep(TIME_TO_SLEEP_IN_SECONDS)
diff --git a/airflow/providers/google/cloud/hooks/compute_ssh.py b/airflow/providers/google/cloud/hooks/compute_ssh.py
index 7b474070aee37..d2b2971c6546e 100644
--- a/airflow/providers/google/cloud/hooks/compute_ssh.py
+++ b/airflow/providers/google/cloud/hooks/compute_ssh.py
@@ -28,12 +28,15 @@
 from airflow.providers.google.cloud.hooks.compute import ComputeEngineHook
 from airflow.providers.google.cloud.hooks.os_login import OSLoginHook
 from airflow.providers.ssh.hooks.ssh import SSHHook
+from airflow.utils.types import NOTSET, ArgNotSet
 
 # Paramiko should be imported after airflow.providers.ssh. Then the import will fail with
 # cannot import "airflow.providers.ssh" and will be correctly discovered as optional feature
 # TODO:(potiuk) We should add test harness detecting such cases shortly
 import paramiko  # isort:skip
 
+CMD_TIMEOUT = 10
+
 
 class _GCloudAuthorizedSSHClient(paramiko.SSHClient):
     """SSH Client that maintains the context for gcloud authorization during the connection"""
@@ -105,6 +108,7 @@ def __init__(
         use_iap_tunnel: bool = False,
         use_oslogin: bool = True,
         expire_time: int = 300,
+        cmd_timeout: int | ArgNotSet = NOTSET,
         **kwargs,
     ) -> None:
         if kwargs.get("delegate_to") is not None:
@@ -124,6 +128,7 @@ def __init__(
         self.use_oslogin = use_oslogin
         self.expire_time = expire_time
         self.gcp_conn_id = gcp_conn_id
+        self.cmd_timeout = cmd_timeout
         self._conn: Any | None = None
 
     @cached_property
@@ -175,6 +180,17 @@ def intify(key, value, default):
                 self.expire_time,
             )
 
+            if conn.extra is not None:
+                extra_options = conn.extra_dejson
+                if "cmd_timeout" in extra_options and self.cmd_timeout is NOTSET:
+                    if extra_options["cmd_timeout"]:
+                        self.cmd_timeout = int(extra_options["cmd_timeout"])
+                    else:
+                        self.cmd_timeout = None
+
+            if self.cmd_timeout is NOTSET:
+                self.cmd_timeout = CMD_TIMEOUT
+
     def get_conn(self) -> paramiko.SSHClient:
         """Return SSH connection."""
         self._load_connection_config()
diff --git a/airflow/providers/google/cloud/hooks/mlengine.py b/airflow/providers/google/cloud/hooks/mlengine.py
index 583c1fe0a4e63..83af18ecf4607 100644
--- a/airflow/providers/google/cloud/hooks/mlengine.py
+++ b/airflow/providers/google/cloud/hooks/mlengine.py
@@ -21,7 +21,7 @@
 import logging
 import random
 import time
-from typing import Callable, cast
+from typing import Callable
 
 from aiohttp import ClientSession
 from gcloud.aio.auth import AioSession, Token
@@ -187,7 +187,6 @@ def create_job_without_waiting_result(
         hook = self.get_conn()
 
         self._append_label(body)
-
         request = hook.projects().jobs().create(parent=f"projects/{project_id}", body=body)
         job_id = body["jobId"]
         request.execute(num_retries=self.num_retries)
@@ -391,6 +390,7 @@ def delete_version(
             belongs to. (templated)
         :param project_id: The Google Cloud project name to which MLEngine
             model belongs.
+        :param version_name: A name to use for the version being operated upon. (templated)
         :return: If the version was deleted successfully, returns the operation.
             Otherwise raises an error.
         """
@@ -538,9 +538,10 @@ def _append_label(self, model: dict) -> None:
 
 
 class MLEngineAsyncHook(GoogleBaseAsyncHook):
-    """Uses gcloud-aio library to retrieve Job details"""
+    """Class to get asynchronous hook for MLEngine"""
 
     sync_hook_class = MLEngineHook
+    scopes = ["https://www.googleapis.com/auth/cloud-platform"]
 
     def _check_fileds(
         self,
@@ -553,16 +554,17 @@ def _check_fileds(
             raise AirflowException("An unique job id is required for Google MLEngine training job.")
 
     async def _get_link(self, url: str, session: Session):
-        s = AioSession(session)
-        t = Token(scopes=["https://www.googleapis.com/auth/cloud-platform"])
-        headers = {
-            "Authorization": f"Bearer {t.get()}",
-            "accept": "application/json",
-            "accept-encoding": "gzip, deflate",
-            "user-agent": "(gzip)",
-            "x-goog-api-client": "gdcl/1.12.11 gl-python/3.8.15",
-        }
-        return await s.get(url=url, headers=headers)
+        async with Token(scopes=self.scopes) as token:
+            session_aio = AioSession(session)
+            headers = {
+                "Authorization": f"Bearer {await token.get()}",
+            }
+            try:
+                job = await session_aio.get(url=url, headers=headers)
+            except AirflowException:
+                pass  # Because the job may not be visible in system yet
+
+        return job
 
     async def get_job(self, job_id: str, session: Session, project_id: str | None = None):
         """Get the specified job resource by job ID and project ID."""
@@ -583,18 +585,17 @@ async def get_job_status(
         Exception means that Job finished with errors
         """
         self._check_fileds(project_id=project_id, job_id=job_id)
-
-        async with ClientSession() as s:
+        async with ClientSession() as session:
             try:
-                job_response = await self.get_job(
-                    project_id=project_id, job_id=job_id, session=cast(Session, s)
+                job = await self.get_job(
+                    project_id=project_id, job_id=job_id, session=session  #  type: ignore
                 )
-                json_response = await job_response.json()
-                self.log.info("Retrieving json_response: %s", json_response)
+                job = await job.json(content_type=None)
+                self.log.info("Retrieving json_response: %s", job)
 
-                if json_response["state"] in ["SUCCEEDED", "FAILED", "CANCELLED"]:
+                if job["state"] in ["SUCCEEDED", "FAILED", "CANCELLED"]:
                     job_status = "success"
-                elif json_response["state"] in ["PREPARING", "RUNNING"]:
+                elif job["state"] in ["PREPARING", "RUNNING"]:
                     job_status = "pending"
             except OSError:
                 job_status = "pending"
diff --git a/airflow/providers/google/cloud/hooks/natural_language.py b/airflow/providers/google/cloud/hooks/natural_language.py
index db0e0528ec58e..ee6f25965cf6c 100644
--- a/airflow/providers/google/cloud/hooks/natural_language.py
+++ b/airflow/providers/google/cloud/hooks/natural_language.py
@@ -22,7 +22,7 @@
 
 from google.api_core.gapic_v1.method import DEFAULT, _MethodDefault
 from google.api_core.retry import Retry
-from google.cloud.language_v1 import LanguageServiceClient, enums
+from google.cloud.language_v1 import EncodingType, LanguageServiceClient
 from google.cloud.language_v1.types import (
     AnalyzeEntitiesResponse,
     AnalyzeEntitySentimentResponse,
@@ -68,7 +68,7 @@ def __init__(
             gcp_conn_id=gcp_conn_id,
             impersonation_chain=impersonation_chain,
         )
-        self._conn = None
+        self._conn: LanguageServiceClient | None = None
 
     def get_conn(self) -> LanguageServiceClient:
         """
@@ -84,7 +84,7 @@ def get_conn(self) -> LanguageServiceClient:
     def analyze_entities(
         self,
         document: dict | Document,
-        encoding_type: enums.EncodingType | None = None,
+        encoding_type: EncodingType | None = None,
         retry: Retry | _MethodDefault = DEFAULT,
         timeout: float | None = None,
         metadata: Sequence[tuple[str, str]] = (),
@@ -104,6 +104,8 @@ def analyze_entities(
         """
         client = self.get_conn()
 
+        if isinstance(document, dict):
+            document = Document(document)
         return client.analyze_entities(
             document=document, encoding_type=encoding_type, retry=retry, timeout=timeout, metadata=metadata
         )
@@ -112,7 +114,7 @@ def analyze_entities(
     def analyze_entity_sentiment(
         self,
         document: dict | Document,
-        encoding_type: enums.EncodingType | None = None,
+        encoding_type: EncodingType | None = None,
         retry: Retry | _MethodDefault = DEFAULT,
         timeout: float | None = None,
         metadata: Sequence[tuple[str, str]] = (),
@@ -132,6 +134,8 @@ def analyze_entity_sentiment(
         """
         client = self.get_conn()
 
+        if isinstance(document, dict):
+            document = Document(document)
         return client.analyze_entity_sentiment(
             document=document, encoding_type=encoding_type, retry=retry, timeout=timeout, metadata=metadata
         )
@@ -140,7 +144,7 @@ def analyze_entity_sentiment(
     def analyze_sentiment(
         self,
         document: dict | Document,
-        encoding_type: enums.EncodingType | None = None,
+        encoding_type: EncodingType | None = None,
         retry: Retry | _MethodDefault = DEFAULT,
         timeout: float | None = None,
         metadata: Sequence[tuple[str, str]] = (),
@@ -159,6 +163,8 @@ def analyze_sentiment(
         """
         client = self.get_conn()
 
+        if isinstance(document, dict):
+            document = Document(document)
         return client.analyze_sentiment(
             document=document, encoding_type=encoding_type, retry=retry, timeout=timeout, metadata=metadata
         )
@@ -167,7 +173,7 @@ def analyze_sentiment(
     def analyze_syntax(
         self,
         document: dict | Document,
-        encoding_type: enums.EncodingType | None = None,
+        encoding_type: EncodingType | None = None,
         retry: Retry | _MethodDefault = DEFAULT,
         timeout: float | None = None,
         metadata: Sequence[tuple[str, str]] = (),
@@ -187,6 +193,8 @@ def analyze_syntax(
         """
         client = self.get_conn()
 
+        if isinstance(document, dict):
+            document = Document(document)
         return client.analyze_syntax(
             document=document, encoding_type=encoding_type, retry=retry, timeout=timeout, metadata=metadata
         )
@@ -196,7 +204,7 @@ def annotate_text(
         self,
         document: dict | Document,
         features: dict | AnnotateTextRequest.Features,
-        encoding_type: enums.EncodingType = None,
+        encoding_type: EncodingType | None = None,
         retry: Retry | _MethodDefault = DEFAULT,
         timeout: float | None = None,
         metadata: Sequence[tuple[str, str]] = (),
@@ -218,6 +226,11 @@ def annotate_text(
         """
         client = self.get_conn()
 
+        if isinstance(document, dict):
+            document = Document(document)
+        if isinstance(features, dict):
+            features = AnnotateTextRequest.Features(features)
+
         return client.annotate_text(
             document=document,
             features=features,
@@ -248,4 +261,6 @@ def classify_text(
         """
         client = self.get_conn()
 
+        if isinstance(document, dict):
+            document = Document(document)
         return client.classify_text(document=document, retry=retry, timeout=timeout, metadata=metadata)
diff --git a/airflow/providers/google/cloud/hooks/spanner.py b/airflow/providers/google/cloud/hooks/spanner.py
index 60da28e9bc323..d83cfc598ad8d 100644
--- a/airflow/providers/google/cloud/hooks/spanner.py
+++ b/airflow/providers/google/cloud/hooks/spanner.py
@@ -55,7 +55,7 @@ def __init__(
             gcp_conn_id=gcp_conn_id,
             impersonation_chain=impersonation_chain,
         )
-        self._client = None
+        self._client: Client | None = None
 
     def _get_client(self, project_id: str) -> Client:
         """
@@ -75,7 +75,7 @@ def get_instance(
         self,
         instance_id: str,
         project_id: str,
-    ) -> Instance:
+    ) -> Instance | None:
         """
         Gets information about a particular instance.
 
diff --git a/airflow/providers/google/cloud/hooks/speech_to_text.py b/airflow/providers/google/cloud/hooks/speech_to_text.py
index e21bb9677c390..4dc0568b2e7d0 100644
--- a/airflow/providers/google/cloud/hooks/speech_to_text.py
+++ b/airflow/providers/google/cloud/hooks/speech_to_text.py
@@ -59,7 +59,7 @@ def __init__(
             gcp_conn_id=gcp_conn_id,
             impersonation_chain=impersonation_chain,
         )
-        self._client = None
+        self._client: SpeechClient | None = None
 
     def get_conn(self) -> SpeechClient:
         """
@@ -92,6 +92,11 @@ def recognize_speech(
             Note that if retry is specified, the timeout applies to each individual attempt.
         """
         client = self.get_conn()
+        if isinstance(config, dict):
+            config = RecognitionConfig(config)
+        if isinstance(audio, dict):
+            audio = RecognitionAudio(audio)
+
         response = client.recognize(config=config, audio=audio, retry=retry, timeout=timeout)
         self.log.info("Recognised speech: %s", response)
         return response
diff --git a/airflow/providers/google/cloud/hooks/text_to_speech.py b/airflow/providers/google/cloud/hooks/text_to_speech.py
index 8cd44fc64e9b9..4e530f18c2e62 100644
--- a/airflow/providers/google/cloud/hooks/text_to_speech.py
+++ b/airflow/providers/google/cloud/hooks/text_to_speech.py
@@ -107,8 +107,15 @@ def synthesize_speech(
             https://googleapis.github.io/google-cloud-python/latest/texttospeech/gapic/v1/types.html#google.cloud.texttospeech_v1.types.SynthesizeSpeechResponse
         """
         client = self.get_conn()
+
+        if isinstance(input_data, dict):
+            input_data = SynthesisInput(input_data)
+        if isinstance(voice, dict):
+            voice = VoiceSelectionParams(voice)
+        if isinstance(audio_config, dict):
+            audio_config = AudioConfig(audio_config)
         self.log.info("Synthesizing input: %s", input_data)
 
         return client.synthesize_speech(
-            input_=input_data, voice=voice, audio_config=audio_config, retry=retry, timeout=timeout
+            input=input_data, voice=voice, audio_config=audio_config, retry=retry, timeout=timeout
         )
diff --git a/airflow/providers/google/cloud/hooks/video_intelligence.py b/airflow/providers/google/cloud/hooks/video_intelligence.py
index 103025c77f96b..fa1d2f56e5410 100644
--- a/airflow/providers/google/cloud/hooks/video_intelligence.py
+++ b/airflow/providers/google/cloud/hooks/video_intelligence.py
@@ -23,8 +23,11 @@
 from google.api_core.gapic_v1.method import DEFAULT, _MethodDefault
 from google.api_core.operation import Operation
 from google.api_core.retry import Retry
-from google.cloud.videointelligence_v1 import VideoIntelligenceServiceClient
-from google.cloud.videointelligence_v1.types import VideoContext
+from google.cloud.videointelligence_v1 import (
+    Feature,
+    VideoContext,
+    VideoIntelligenceServiceClient,
+)
 
 from airflow.providers.google.common.consts import CLIENT_INFO
 from airflow.providers.google.common.hooks.base_google import GoogleBaseHook
@@ -63,7 +66,7 @@ def __init__(
             gcp_conn_id=gcp_conn_id,
             impersonation_chain=impersonation_chain,
         )
-        self._conn = None
+        self._conn: VideoIntelligenceServiceClient | None = None
 
     def get_conn(self) -> VideoIntelligenceServiceClient:
         """Returns Gcp Video Intelligence Service client"""
@@ -78,8 +81,8 @@ def annotate_video(
         self,
         input_uri: str | None = None,
         input_content: bytes | None = None,
-        features: list[VideoIntelligenceServiceClient.enums.Feature] | None = None,
-        video_context: dict | VideoContext = None,
+        features: Sequence[Feature] | None = None,
+        video_context: dict | VideoContext | None = None,
         output_uri: str | None = None,
         location: str | None = None,
         retry: Retry | _MethodDefault = DEFAULT,
@@ -109,13 +112,16 @@ def annotate_video(
         :param metadata: Optional, Additional metadata that is provided to the method.
         """
         client = self.get_conn()
+
         return client.annotate_video(
-            input_uri=input_uri,
-            input_content=input_content,
-            features=features,
-            video_context=video_context,
-            output_uri=output_uri,
-            location_id=location,
+            request={
+                "input_uri": input_uri,
+                "features": features,
+                "input_content": input_content,
+                "video_context": video_context,
+                "output_uri": output_uri,
+                "location_id": location,
+            },
             retry=retry,
             timeout=timeout,
             metadata=metadata,
diff --git a/airflow/providers/google/cloud/hooks/vision.py b/airflow/providers/google/cloud/hooks/vision.py
index dace3619cff4f..20c0c81f75431 100644
--- a/airflow/providers/google/cloud/hooks/vision.py
+++ b/airflow/providers/google/cloud/hooks/vision.py
@@ -23,15 +23,16 @@
 
 from google.api_core.gapic_v1.method import DEFAULT, _MethodDefault
 from google.api_core.retry import Retry
-from google.cloud.vision_v1 import ImageAnnotatorClient, ProductSearchClient
-from google.cloud.vision_v1.types import (
+from google.cloud.vision_v1 import (
     AnnotateImageRequest,
-    FieldMask,
     Image,
+    ImageAnnotatorClient,
     Product,
+    ProductSearchClient,
     ProductSet,
     ReferenceImage,
 )
+from google.protobuf import field_mask_pb2
 from google.protobuf.json_format import MessageToDict
 
 from airflow.compat.functools import cached_property
@@ -118,6 +119,7 @@ class CloudVisionHook(GoogleBaseHook):
     keyword arguments rather than positional.
     """
 
+    _client: ProductSearchClient | None
     product_name_determiner = NameDeterminer("Product", "product_id", ProductSearchClient.product_path)
     product_set_name_determiner = NameDeterminer(
         "ProductSet", "productset_id", ProductSearchClient.product_set_path
@@ -168,7 +170,7 @@ def _check_for_error(response: dict) -> None:
     def create_product_set(
         self,
         location: str,
-        product_set: dict | ProductSet,
+        product_set: ProductSet | None,
         project_id: str = PROVIDE_PROJECT_ID,
         product_set_id: str | None = None,
         retry: Retry | _MethodDefault = DEFAULT,
@@ -180,7 +182,7 @@ def create_product_set(
         :class:`~airflow.providers.google.cloud.operators.vision.CloudVisionCreateProductSetOperator`
         """
         client = self.get_conn()
-        parent = ProductSearchClient.location_path(project_id, location)
+        parent = f"projects/{project_id}/locations/{location}"
         self.log.info("Creating a new ProductSet under the parent: %s", parent)
         response = client.create_product_set(
             parent=parent,
@@ -220,7 +222,7 @@ def get_product_set(
         response = client.get_product_set(name=name, retry=retry, timeout=timeout, metadata=metadata)
         self.log.info("ProductSet retrieved.")
         self.log.debug("ProductSet retrieved:\n%s", response)
-        return MessageToDict(response)
+        return MessageToDict(response._pb)
 
     @GoogleBaseHook.fallback_to_default_project_id
     def update_product_set(
@@ -229,7 +231,7 @@ def update_product_set(
         project_id: str = PROVIDE_PROJECT_ID,
         location: str | None = None,
         product_set_id: str | None = None,
-        update_mask: dict | FieldMask = None,
+        update_mask: dict | field_mask_pb2.FieldMask | None = None,
         retry: Retry | _MethodDefault = DEFAULT,
         timeout: float | None = None,
         metadata: Sequence[tuple[str, str]] = (),
@@ -239,16 +241,23 @@ def update_product_set(
         :class:`~airflow.providers.google.cloud.operators.vision.CloudVisionUpdateProductSetOperator`
         """
         client = self.get_conn()
+
         product_set = self.product_set_name_determiner.get_entity_with_name(
             product_set, product_set_id, location, project_id
         )
+        if isinstance(product_set, dict):
+            product_set = ProductSet(product_set)
         self.log.info("Updating ProductSet: %s", product_set.name)
         response = client.update_product_set(
-            product_set=product_set, update_mask=update_mask, retry=retry, timeout=timeout, metadata=metadata
+            product_set=product_set,
+            update_mask=update_mask,  # type: ignore
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
         )
         self.log.info("ProductSet updated: %s", response.name if response else "")
         self.log.debug("ProductSet updated:\n%s", response)
-        return MessageToDict(response)
+        return MessageToDict(response._pb)
 
     @GoogleBaseHook.fallback_to_default_project_id
     def delete_product_set(
@@ -286,8 +295,11 @@ def create_product(
         :class:`~airflow.providers.google.cloud.operators.vision.CloudVisionCreateProductOperator`
         """
         client = self.get_conn()
-        parent = ProductSearchClient.location_path(project_id, location)
+        parent = f"projects/{project_id}/locations/{location}"
         self.log.info("Creating a new Product under the parent: %s", parent)
+
+        if isinstance(product, dict):
+            product = Product(product)
         response = client.create_product(
             parent=parent,
             product=product,
@@ -326,7 +338,7 @@ def get_product(
         response = client.get_product(name=name, retry=retry, timeout=timeout, metadata=metadata)
         self.log.info("Product retrieved.")
         self.log.debug("Product retrieved:\n%s", response)
-        return MessageToDict(response)
+        return MessageToDict(response._pb)
 
     @GoogleBaseHook.fallback_to_default_project_id
     def update_product(
@@ -335,7 +347,7 @@ def update_product(
         project_id: str = PROVIDE_PROJECT_ID,
         location: str | None = None,
         product_id: str | None = None,
-        update_mask: dict[str, FieldMask] | None = None,
+        update_mask: dict | field_mask_pb2.FieldMask | None = None,
         retry: Retry | _MethodDefault = DEFAULT,
         timeout: float | None = None,
         metadata: Sequence[tuple[str, str]] = (),
@@ -345,14 +357,21 @@ def update_product(
         :class:`~airflow.providers.google.cloud.operators.vision.CloudVisionUpdateProductOperator`
         """
         client = self.get_conn()
+
         product = self.product_name_determiner.get_entity_with_name(product, product_id, location, project_id)
+        if isinstance(product, dict):
+            product = Product(product)
         self.log.info("Updating ProductSet: %s", product.name)
         response = client.update_product(
-            product=product, update_mask=update_mask, retry=retry, timeout=timeout, metadata=metadata
+            product=product,
+            update_mask=update_mask,  # type: ignore
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
         )
         self.log.info("Product updated: %s", response.name if response else "")
         self.log.debug("Product updated:\n%s", response)
-        return MessageToDict(response)
+        return MessageToDict(response._pb)
 
     @GoogleBaseHook.fallback_to_default_project_id
     def delete_product(
@@ -394,6 +413,8 @@ def create_reference_image(
         self.log.info("Creating ReferenceImage")
         parent = ProductSearchClient.product_path(project=project_id, location=location, product=product_id)
 
+        if isinstance(reference_image, dict):
+            reference_image = ReferenceImage(reference_image)
         response = client.create_reference_image(
             parent=parent,
             reference_image=reference_image,
@@ -451,7 +472,7 @@ def add_product_to_product_set(
         product_set_id: str,
         product_id: str,
         project_id: str,
-        location: str | None = None,
+        location: str,
         retry: Retry | _MethodDefault = DEFAULT,
         timeout: float | None = None,
         metadata: Sequence[tuple[str, str]] = (),
@@ -479,7 +500,7 @@ def remove_product_from_product_set(
         product_set_id: str,
         product_id: str,
         project_id: str,
-        location: str | None = None,
+        location: str,
         retry: Retry | _MethodDefault = DEFAULT,
         timeout: float | None = None,
         metadata: Sequence[tuple[str, str]] = (),
@@ -519,7 +540,7 @@ def annotate_image(
 
         self.log.info("Image annotated")
 
-        return MessageToDict(response)
+        return MessageToDict(response._pb)
 
     @GoogleBaseHook.quota_retry()
     def batch_annotate_images(
@@ -536,11 +557,12 @@ def batch_annotate_images(
 
         self.log.info("Annotating images")
 
+        requests = list(map(AnnotateImageRequest, requests))
         response = client.batch_annotate_images(requests=requests, retry=retry, timeout=timeout)
 
         self.log.info("Images annotated")
 
-        return MessageToDict(response)
+        return MessageToDict(response._pb)
 
     @GoogleBaseHook.quota_retry()
     def text_detection(
@@ -565,7 +587,7 @@ def text_detection(
         response = client.text_detection(
             image=image, max_results=max_results, retry=retry, timeout=timeout, **additional_properties
         )
-        response = MessageToDict(response)
+        response = MessageToDict(response._pb)
         self._check_for_error(response)
 
         self.log.info("Text detection finished")
@@ -595,7 +617,7 @@ def document_text_detection(
         response = client.document_text_detection(
             image=image, max_results=max_results, retry=retry, timeout=timeout, **additional_properties
         )
-        response = MessageToDict(response)
+        response = MessageToDict(response._pb)
         self._check_for_error(response)
 
         self.log.info("Document text detection finished")
@@ -625,7 +647,7 @@ def label_detection(
         response = client.label_detection(
             image=image, max_results=max_results, retry=retry, timeout=timeout, **additional_properties
         )
-        response = MessageToDict(response)
+        response = MessageToDict(response._pb)
         self._check_for_error(response)
 
         self.log.info("Labels detection finished")
@@ -655,7 +677,7 @@ def safe_search_detection(
         response = client.safe_search_detection(
             image=image, max_results=max_results, retry=retry, timeout=timeout, **additional_properties
         )
-        response = MessageToDict(response)
+        response = MessageToDict(response._pb)
         self._check_for_error(response)
 
         self.log.info("Safe search detection finished")
diff --git a/airflow/providers/google/cloud/log/stackdriver_task_handler.py b/airflow/providers/google/cloud/log/stackdriver_task_handler.py
index 5190fbad760b5..ca3ad9bad35e1 100644
--- a/airflow/providers/google/cloud/log/stackdriver_task_handler.py
+++ b/airflow/providers/google/cloud/log/stackdriver_task_handler.py
@@ -315,10 +315,10 @@ def _read_single_logs_page(self, log_filter: str, page_token: str | None = None)
         )
         response = self._logging_service_client.list_log_entries(request=request)
         page: ListLogEntriesResponse = next(response.pages)
-        messages = []
+        messages: list[str] = []
         for entry in page.entries:
             if "message" in (entry.json_payload or {}):
-                messages.append(entry.json_payload["message"])
+                messages.append(entry.json_payload["message"])  # type: ignore
             elif entry.text_payload:
                 messages.append(entry.text_payload)
         return "\n".join(messages), page.next_page_token
diff --git a/airflow/providers/google/cloud/operators/automl.py b/airflow/providers/google/cloud/operators/automl.py
index 4c53702ea5ac1..0503e6bffefef 100644
--- a/airflow/providers/google/cloud/operators/automl.py
+++ b/airflow/providers/google/cloud/operators/automl.py
@@ -116,7 +116,7 @@ def execute(self, context: Context):
             gcp_conn_id=self.gcp_conn_id,
             impersonation_chain=self.impersonation_chain,
         )
-        self.log.info("Creating model.")
+        self.log.info("Creating model %s...", self.model["display_name"])
         operation = hook.create_model(
             model=self.model,
             location=self.location,
@@ -128,9 +128,10 @@ def execute(self, context: Context):
         project_id = self.project_id or hook.project_id
         if project_id:
             AutoMLModelTrainLink.persist(context=context, task_instance=self, project_id=project_id)
-        result = Model.to_dict(operation.result())
+        operation_result = hook.wait_for_operation(timeout=self.timeout, operation=operation)
+        result = Model.to_dict(operation_result)
         model_id = hook.extract_object_id(result)
-        self.log.info("Model created: %s", model_id)
+        self.log.info("Model is created, model_id: %s", model_id)
 
         self.xcom_push(context, key="model_id", value=model_id)
         if project_id:
@@ -332,8 +333,9 @@ def execute(self, context: Context):
             timeout=self.timeout,
             metadata=self.metadata,
         )
-        result = BatchPredictResult.to_dict(operation.result())
-        self.log.info("Batch prediction ready.")
+        operation_result = hook.wait_for_operation(timeout=self.timeout, operation=operation)
+        result = BatchPredictResult.to_dict(operation_result)
+        self.log.info("Batch prediction is ready.")
         project_id = self.project_id or hook.project_id
         if project_id:
             AutoMLModelPredictLink.persist(
@@ -412,7 +414,7 @@ def execute(self, context: Context):
             gcp_conn_id=self.gcp_conn_id,
             impersonation_chain=self.impersonation_chain,
         )
-        self.log.info("Creating dataset")
+        self.log.info("Creating dataset %s...", self.dataset)
         result = hook.create_dataset(
             dataset=self.dataset,
             location=self.location,
@@ -508,7 +510,7 @@ def execute(self, context: Context):
             gcp_conn_id=self.gcp_conn_id,
             impersonation_chain=self.impersonation_chain,
         )
-        self.log.info("Importing dataset")
+        self.log.info("Importing data to dataset...")
         operation = hook.import_data(
             dataset_id=self.dataset_id,
             input_config=self.input_config,
@@ -518,8 +520,8 @@ def execute(self, context: Context):
             timeout=self.timeout,
             metadata=self.metadata,
         )
-        operation.result()
-        self.log.info("Import completed")
+        hook.wait_for_operation(timeout=self.timeout, operation=operation)
+        self.log.info("Import is completed")
         project_id = self.project_id or hook.project_id
         if project_id:
             AutoMLDatasetLink.persist(
@@ -887,7 +889,8 @@ def execute(self, context: Context):
             timeout=self.timeout,
             metadata=self.metadata,
         )
-        operation.result()
+        hook.wait_for_operation(timeout=self.timeout, operation=operation)
+        self.log.info("Deletion is completed")
 
 
 class AutoMLDeployModelOperator(GoogleCloudBaseOperator):
@@ -976,8 +979,8 @@ def execute(self, context: Context):
             timeout=self.timeout,
             metadata=self.metadata,
         )
-        operation.result()
-        self.log.info("Model deployed.")
+        hook.wait_for_operation(timeout=self.timeout, operation=operation)
+        self.log.info("Model was deployed successfully.")
 
 
 class AutoMLTablesListTableSpecsOperator(GoogleCloudBaseOperator):
diff --git a/airflow/providers/google/cloud/operators/bigquery.py b/airflow/providers/google/cloud/operators/bigquery.py
index 67798ee77f2c8..8cf3489ccf2ae 100644
--- a/airflow/providers/google/cloud/operators/bigquery.py
+++ b/airflow/providers/google/cloud/operators/bigquery.py
@@ -27,6 +27,7 @@
 from google.api_core.exceptions import Conflict
 from google.api_core.retry import Retry
 from google.cloud.bigquery import DEFAULT_RETRY, CopyJob, ExtractJob, LoadJob, QueryJob
+from google.cloud.bigquery.table import RowIterator
 
 from airflow.exceptions import AirflowException, AirflowProviderDeprecationWarning, AirflowSkipException
 from airflow.models import BaseOperator, BaseOperatorLink
@@ -52,6 +53,8 @@
 )
 
 if TYPE_CHECKING:
+    from google.cloud.bigquery import UnknownJob
+
     from airflow.models.taskinstancekey import TaskInstanceKey
     from airflow.utils.context import Context
 
@@ -926,6 +929,10 @@ def execute(self, context: Context):
                 project_id=self.project_id,
             )
 
+            if isinstance(rows, RowIterator):
+                raise TypeError(
+                    "BigQueryHook.list_rows() returns iterator when return_iterator is False (default)"
+                )
             self.log.info("Total extracted rows: %s", len(rows))
 
             if self.as_dict:
@@ -1952,12 +1959,12 @@ def execute(self, context: Context):
         self.log.info("Start getting dataset: %s:%s", self.project_id, self.dataset_id)
 
         dataset = bq_hook.get_dataset(dataset_id=self.dataset_id, project_id=self.project_id)
-        dataset = dataset.to_api_repr()
+        dataset_api_repr = dataset.to_api_repr()
         BigQueryDatasetLink.persist(
             context=context,
             task_instance=self,
-            dataset_id=dataset["datasetReference"]["datasetId"],
-            project_id=dataset["datasetReference"]["projectId"],
+            dataset_id=dataset_api_repr["datasetReference"]["datasetId"],
+            project_id=dataset_api_repr["datasetReference"]["projectId"],
         )
         return dataset
 
@@ -2249,12 +2256,12 @@ def execute(self, context: Context):
             fields=fields,
         )
 
-        dataset = dataset.to_api_repr()
+        dataset_api_repr = dataset.to_api_repr()
         BigQueryDatasetLink.persist(
             context=context,
             task_instance=self,
-            dataset_id=dataset["datasetReference"]["datasetId"],
-            project_id=dataset["datasetReference"]["projectId"],
+            dataset_id=dataset_api_repr["datasetReference"]["datasetId"],
+            project_id=dataset_api_repr["datasetReference"]["projectId"],
         )
         return dataset
 
@@ -2622,7 +2629,7 @@ def _submit_job(
         )
 
     @staticmethod
-    def _handle_job_error(job: BigQueryJob) -> None:
+    def _handle_job_error(job: BigQueryJob | UnknownJob) -> None:
         if job.error_result:
             raise AirflowException(f"BigQuery job {job.job_id} failed: {job.error_result}")
 
@@ -2644,7 +2651,7 @@ def execute(self, context: Any):
 
         try:
             self.log.info("Executing: %s'", self.configuration)
-            job = self._submit_job(hook, job_id)
+            job: BigQueryJob | UnknownJob = self._submit_job(hook, job_id)
         except Conflict:
             # If the job already exists retrieve it
             job = hook.get_job(
diff --git a/airflow/providers/google/cloud/operators/compute.py b/airflow/providers/google/cloud/operators/compute.py
index 5abc72b8d7577..db8a98e443484 100644
--- a/airflow/providers/google/cloud/operators/compute.py
+++ b/airflow/providers/google/cloud/operators/compute.py
@@ -944,6 +944,7 @@ def execute(self, context: Context) -> dict:
         )
         self._validate_all_body_fields()
         self.check_body_fields()
+        self._field_sanitizer.sanitize(self.body)
         try:
             # Idempotence check (sort of) - we want to check if the new Template
             # is already created and if is, then we assume it was created by previous run
@@ -1093,7 +1094,7 @@ def execute(self, context: Context) -> None:
                 project_id=self.project_id,
                 request_id=self.request_id,
             )
-            self.log.info("Successfully deleted Instance template")
+            self.log.info("Successfully deleted Instance template %s", self.resource_id)
         except exceptions.NotFound as e:
             # Expecting 404 Error in case if Instance template doesn't exist.
             if e.code == 404:
@@ -1246,7 +1247,7 @@ def execute(self, context: Context) -> dict:
         new_body = merge(new_body, self.body_patch)
         self.log.info("Calling insert instance template with updated body: %s", new_body)
         hook.insert_instance_template(body=new_body, request_id=self.request_id, project_id=self.project_id)
-        instance_template = hook.get_instance_template(
+        new_instance_tmp = hook.get_instance_template(
             resource_id=self.body_patch["name"], project_id=self.project_id
         )
         ComputeInstanceTemplateDetailsLink.persist(
@@ -1255,7 +1256,7 @@ def execute(self, context: Context) -> dict:
             resource_id=self.body_patch["name"],
             project_id=self.project_id or hook.project_id,
         )
-        return InstanceTemplate.to_dict(instance_template)
+        return InstanceTemplate.to_dict(new_instance_tmp)
 
 
 class ComputeEngineInstanceGroupUpdateManagerTemplateOperator(ComputeEngineBaseOperator):
diff --git a/airflow/providers/google/cloud/operators/natural_language.py b/airflow/providers/google/cloud/operators/natural_language.py
index 257c7ea905aa2..2665f9ced60ab 100644
--- a/airflow/providers/google/cloud/operators/natural_language.py
+++ b/airflow/providers/google/cloud/operators/natural_language.py
@@ -22,8 +22,7 @@
 
 from google.api_core.gapic_v1.method import DEFAULT, _MethodDefault
 from google.api_core.retry import Retry
-from google.cloud.language_v1 import enums
-from google.cloud.language_v1.types import Document
+from google.cloud.language_v1.types import Document, EncodingType
 from google.protobuf.json_format import MessageToDict
 
 from airflow.providers.google.cloud.hooks.natural_language import CloudNaturalLanguageHook
@@ -76,7 +75,7 @@ def __init__(
         self,
         *,
         document: dict | Document,
-        encoding_type: enums.EncodingType | None = None,
+        encoding_type: EncodingType | None = None,
         retry: Retry | _MethodDefault = DEFAULT,
         timeout: float | None = None,
         metadata: MetaData = (),
@@ -105,7 +104,7 @@ def execute(self, context: Context):
         )
         self.log.info("Finished analyzing entities")
 
-        return MessageToDict(response)
+        return MessageToDict(response._pb)
 
 
 class CloudNaturalLanguageAnalyzeEntitySentimentOperator(GoogleCloudBaseOperator):
@@ -149,7 +148,7 @@ def __init__(
         self,
         *,
         document: dict | Document,
-        encoding_type: enums.EncodingType | None = None,
+        encoding_type: EncodingType | None = None,
         retry: Retry | _MethodDefault = DEFAULT,
         timeout: float | None = None,
         metadata: MetaData = (),
@@ -182,7 +181,7 @@ def execute(self, context: Context):
         )
         self.log.info("Finished entity sentiment analyze")
 
-        return MessageToDict(response)
+        return MessageToDict(response._pb)
 
 
 class CloudNaturalLanguageAnalyzeSentimentOperator(GoogleCloudBaseOperator):
@@ -225,7 +224,7 @@ def __init__(
         self,
         *,
         document: dict | Document,
-        encoding_type: enums.EncodingType | None = None,
+        encoding_type: EncodingType | None = None,
         retry: Retry | _MethodDefault = DEFAULT,
         timeout: float | None = None,
         metadata: MetaData = (),
@@ -254,7 +253,7 @@ def execute(self, context: Context):
         )
         self.log.info("Finished sentiment analyze")
 
-        return MessageToDict(response)
+        return MessageToDict(response._pb)
 
 
 class CloudNaturalLanguageClassifyTextOperator(GoogleCloudBaseOperator):
@@ -322,4 +321,4 @@ def execute(self, context: Context):
         )
         self.log.info("Finished text classify")
 
-        return MessageToDict(response)
+        return MessageToDict(response._pb)
diff --git a/airflow/providers/google/cloud/operators/speech_to_text.py b/airflow/providers/google/cloud/operators/speech_to_text.py
index 6d5a97343b537..8d4d92b30b50b 100644
--- a/airflow/providers/google/cloud/operators/speech_to_text.py
+++ b/airflow/providers/google/cloud/operators/speech_to_text.py
@@ -122,4 +122,4 @@ def execute(self, context: Context):
         response = hook.recognize_speech(
             config=self.config, audio=self.audio, retry=self.retry, timeout=self.timeout
         )
-        return MessageToDict(response)
+        return MessageToDict(response._pb)
diff --git a/airflow/providers/google/cloud/operators/translate_speech.py b/airflow/providers/google/cloud/operators/translate_speech.py
index 0e9881eac292a..9295d77f1ddc0 100644
--- a/airflow/providers/google/cloud/operators/translate_speech.py
+++ b/airflow/providers/google/cloud/operators/translate_speech.py
@@ -151,7 +151,7 @@ def execute(self, context: Context) -> dict:
         )
 
         recognize_result = speech_to_text_hook.recognize_speech(config=self.config, audio=self.audio)
-        recognize_dict = MessageToDict(recognize_result)
+        recognize_dict = MessageToDict(recognize_result._pb)
 
         self.log.info("Recognition operation finished")
 
diff --git a/airflow/providers/google/cloud/operators/video_intelligence.py b/airflow/providers/google/cloud/operators/video_intelligence.py
index 7b8d57baec8f5..2069513d063da 100644
--- a/airflow/providers/google/cloud/operators/video_intelligence.py
+++ b/airflow/providers/google/cloud/operators/video_intelligence.py
@@ -22,8 +22,7 @@
 
 from google.api_core.gapic_v1.method import DEFAULT, _MethodDefault
 from google.api_core.retry import Retry
-from google.cloud.videointelligence_v1 import enums
-from google.cloud.videointelligence_v1.types import VideoContext
+from google.cloud.videointelligence_v1 import Feature, VideoContext
 from google.protobuf.json_format import MessageToDict
 
 from airflow.providers.google.cloud.hooks.video_intelligence import CloudVideoIntelligenceHook
@@ -84,7 +83,7 @@ def __init__(
         input_uri: str,
         input_content: bytes | None = None,
         output_uri: str | None = None,
-        video_context: dict | VideoContext = None,
+        video_context: dict | VideoContext | None = None,
         location: str | None = None,
         retry: Retry | _MethodDefault = DEFAULT,
         timeout: float | None = None,
@@ -114,11 +113,11 @@ def execute(self, context: Context):
             video_context=self.video_context,
             location=self.location,
             retry=self.retry,
-            features=[enums.Feature.LABEL_DETECTION],
+            features=[Feature.LABEL_DETECTION],
             timeout=self.timeout,
         )
         self.log.info("Processing video for label annotations")
-        result = MessageToDict(operation.result())
+        result = MessageToDict(operation.result()._pb)
         self.log.info("Finished processing.")
         return result
 
@@ -174,7 +173,7 @@ def __init__(
         input_uri: str,
         output_uri: str | None = None,
         input_content: bytes | None = None,
-        video_context: dict | VideoContext = None,
+        video_context: dict | VideoContext | None = None,
         location: str | None = None,
         retry: Retry | _MethodDefault = DEFAULT,
         timeout: float | None = None,
@@ -204,11 +203,11 @@ def execute(self, context: Context):
             video_context=self.video_context,
             location=self.location,
             retry=self.retry,
-            features=[enums.Feature.EXPLICIT_CONTENT_DETECTION],
+            features=[Feature.EXPLICIT_CONTENT_DETECTION],
             timeout=self.timeout,
         )
         self.log.info("Processing video for explicit content annotations")
-        result = MessageToDict(operation.result())
+        result = MessageToDict(operation.result()._pb)
         self.log.info("Finished processing.")
         return result
 
@@ -264,7 +263,7 @@ def __init__(
         input_uri: str,
         output_uri: str | None = None,
         input_content: bytes | None = None,
-        video_context: dict | VideoContext = None,
+        video_context: dict | VideoContext | None = None,
         location: str | None = None,
         retry: Retry | _MethodDefault = DEFAULT,
         timeout: float | None = None,
@@ -294,10 +293,10 @@ def execute(self, context: Context):
             video_context=self.video_context,
             location=self.location,
             retry=self.retry,
-            features=[enums.Feature.SHOT_CHANGE_DETECTION],
+            features=[Feature.SHOT_CHANGE_DETECTION],
             timeout=self.timeout,
         )
         self.log.info("Processing video for video shots annotations")
-        result = MessageToDict(operation.result())
+        result = MessageToDict(operation.result()._pb)
         self.log.info("Finished processing.")
         return result
diff --git a/airflow/providers/google/cloud/operators/vision.py b/airflow/providers/google/cloud/operators/vision.py
index f2c4443a12c76..76eabe242060e 100644
--- a/airflow/providers/google/cloud/operators/vision.py
+++ b/airflow/providers/google/cloud/operators/vision.py
@@ -24,14 +24,14 @@
 from google.api_core.exceptions import AlreadyExists
 from google.api_core.gapic_v1.method import DEFAULT, _MethodDefault
 from google.api_core.retry import Retry
-from google.cloud.vision_v1.types import (
+from google.cloud.vision_v1 import (
     AnnotateImageRequest,
-    FieldMask,
     Image,
     Product,
     ProductSet,
     ReferenceImage,
 )
+from google.protobuf.field_mask_pb2 import FieldMask  # type: ignore
 
 from airflow.providers.google.cloud.hooks.vision import CloudVisionHook
 from airflow.providers.google.cloud.operators.cloud_base import GoogleCloudBaseOperator
@@ -278,7 +278,7 @@ def __init__(
         location: str | None = None,
         product_set_id: str | None = None,
         project_id: str | None = None,
-        update_mask: dict | FieldMask = None,
+        update_mask: dict | FieldMask | None = None,
         retry: Retry | _MethodDefault = DEFAULT,
         timeout: float | None = None,
         metadata: MetaData = (),
@@ -303,6 +303,9 @@ def execute(self, context: Context):
             gcp_conn_id=self.gcp_conn_id,
             impersonation_chain=self.impersonation_chain,
         )
+
+        if isinstance(self.product_set, dict):
+            self.product_set = ProductSet(self.product_set)
         return hook.update_product_set(
             location=self.location,
             product_set_id=self.product_set_id,
@@ -650,7 +653,7 @@ def __init__(
         location: str | None = None,
         product_id: str | None = None,
         project_id: str | None = None,
-        update_mask: dict | FieldMask = None,
+        update_mask: dict | FieldMask | None = None,
         retry: Retry | _MethodDefault = DEFAULT,
         timeout: float | None = None,
         metadata: MetaData = (),
@@ -675,12 +678,13 @@ def execute(self, context: Context):
             gcp_conn_id=self.gcp_conn_id,
             impersonation_chain=self.impersonation_chain,
         )
+
         return hook.update_product(
             product=self.product,
             location=self.location,
             product_id=self.product_id,
             project_id=self.project_id,
-            update_mask=self.update_mask,
+            update_mask=self.update_mask,  # type: ignore
             retry=self.retry,
             timeout=self.timeout,
             metadata=self.metadata,
@@ -923,6 +927,9 @@ def execute(self, context: Context):
                 gcp_conn_id=self.gcp_conn_id,
                 impersonation_chain=self.impersonation_chain,
             )
+
+            if isinstance(self.reference_image, dict):
+                self.reference_image = ReferenceImage(self.reference_image)
             return hook.create_reference_image(
                 location=self.location,
                 product_id=self.product_id,
diff --git a/airflow/providers/google/cloud/operators/workflows.py b/airflow/providers/google/cloud/operators/workflows.py
index 065072967c9f9..ad7aaf6a0416d 100644
--- a/airflow/providers/google/cloud/operators/workflows.py
+++ b/airflow/providers/google/cloud/operators/workflows.py
@@ -664,7 +664,11 @@ def execute(self, context: Context):
             project_id=self.project_id or hook.project_id,
         )
 
-        return [Execution.to_dict(e) for e in execution_iter if e.start_time > self.start_date_filter]
+        return [
+            Execution.to_dict(e)
+            for e in execution_iter
+            if e.start_time.ToDatetime(tzinfo=pytz.UTC) > self.start_date_filter
+        ]
 
 
 class WorkflowsGetExecutionOperator(GoogleCloudBaseOperator):
diff --git a/airflow/providers/google/cloud/transfers/bigquery_to_gcs.py b/airflow/providers/google/cloud/transfers/bigquery_to_gcs.py
index 68be7e215b8bb..7ec62db9bfbd0 100644
--- a/airflow/providers/google/cloud/transfers/bigquery_to_gcs.py
+++ b/airflow/providers/google/cloud/transfers/bigquery_to_gcs.py
@@ -22,7 +22,7 @@
 
 from google.api_core.exceptions import Conflict
 from google.api_core.retry import Retry
-from google.cloud.bigquery import DEFAULT_RETRY, ExtractJob
+from google.cloud.bigquery import DEFAULT_RETRY, UnknownJob
 
 from airflow import AirflowException
 from airflow.models import BaseOperator
@@ -138,7 +138,7 @@ def __init__(
         self.deferrable = deferrable
 
     @staticmethod
-    def _handle_job_error(job: ExtractJob) -> None:
+    def _handle_job_error(job: BigQueryJob | UnknownJob) -> None:
         if job.error_result:
             raise AirflowException(f"BigQuery job {job.job_id} failed: {job.error_result}")
 
@@ -216,7 +216,9 @@ def execute(self, context: Context):
 
         try:
             self.log.info("Executing: %s", configuration)
-            job: ExtractJob = self._submit_job(hook=hook, job_id=job_id, configuration=configuration)
+            job: BigQueryJob | UnknownJob = self._submit_job(
+                hook=hook, job_id=job_id, configuration=configuration
+            )
         except Conflict:
             # If the job already exists retrieve it
             job = hook.get_job(
diff --git a/airflow/providers/google/cloud/transfers/gcs_to_bigquery.py b/airflow/providers/google/cloud/transfers/gcs_to_bigquery.py
index f009325facfbf..8a66c1aac890c 100644
--- a/airflow/providers/google/cloud/transfers/gcs_to_bigquery.py
+++ b/airflow/providers/google/cloud/transfers/gcs_to_bigquery.py
@@ -31,6 +31,7 @@
     LoadJob,
     QueryJob,
     SchemaField,
+    UnknownJob,
 )
 from google.cloud.bigquery.table import EncryptionConfiguration, Table, TableReference
 
@@ -307,7 +308,7 @@ def _submit_job(
         )
 
     @staticmethod
-    def _handle_job_error(job: BigQueryJob) -> None:
+    def _handle_job_error(job: BigQueryJob | UnknownJob) -> None:
         if job.error_result:
             raise AirflowException(f"BigQuery job {job.job_id} failed: {job.error_result}")
 
@@ -374,7 +375,7 @@ def execute(self, context: Context):
 
             try:
                 self.log.info("Executing: %s", self.configuration)
-                job = self._submit_job(self.hook, job_id)
+                job: BigQueryJob | UnknownJob = self._submit_job(self.hook, job_id)
             except Conflict:
                 # If the job already exists retrieve it
                 job = self.hook.get_job(
diff --git a/airflow/providers/google/cloud/utils/bigquery_get_data.py b/airflow/providers/google/cloud/utils/bigquery_get_data.py
index 39ab1ef35b989..8c5c38add7544 100644
--- a/airflow/providers/google/cloud/utils/bigquery_get_data.py
+++ b/airflow/providers/google/cloud/utils/bigquery_get_data.py
@@ -19,7 +19,7 @@
 from collections.abc import Iterator
 from logging import Logger
 
-from google.cloud.bigquery.table import Row
+from google.cloud.bigquery.table import Row, RowIterator
 
 from airflow.providers.google.cloud.hooks.bigquery import BigQueryHook
 
@@ -37,7 +37,7 @@ def bigquery_get_data(
 
     i = 0
     while True:
-        rows: list[Row] = big_query_hook.list_rows(
+        rows: list[Row] | RowIterator = big_query_hook.list_rows(
             dataset_id=dataset_id,
             table_id=table_id,
             max_results=batch_size,
@@ -45,6 +45,9 @@ def bigquery_get_data(
             start_index=i * batch_size,
         )
 
+        if isinstance(rows, RowIterator):
+            raise TypeError("BigQueryHook.list_rows() returns iterator when return_iterator=False (default)")
+
         if len(rows) == 0:
             logger.info("Job Finished")
             return
diff --git a/airflow/providers/google/cloud/utils/mlengine_operator_utils.py b/airflow/providers/google/cloud/utils/mlengine_operator_utils.py
index 1d6dc5d437ca9..e4845bd7f6ba5 100644
--- a/airflow/providers/google/cloud/utils/mlengine_operator_utils.py
+++ b/airflow/providers/google/cloud/utils/mlengine_operator_utils.py
@@ -29,6 +29,7 @@
 from airflow import DAG
 from airflow.exceptions import AirflowException
 from airflow.operators.python import PythonOperator
+from airflow.providers.apache.beam.hooks.beam import BeamRunnerType
 from airflow.providers.apache.beam.operators.beam import BeamRunPythonPipelineOperator
 from airflow.providers.google.cloud.hooks.gcs import GCSHook
 from airflow.providers.google.cloud.operators.mlengine import MLEngineStartBatchPredictionJobOperator
@@ -227,6 +228,7 @@ def validate_err_and_count(summary):
     metric_fn_encoded = base64.b64encode(dill.dumps(metric_fn, recurse=True)).decode()
     evaluate_summary = BeamRunPythonPipelineOperator(
         task_id=(task_prefix + "-summary"),
+        runner=BeamRunnerType.DataflowRunner,
         py_file=os.path.join(os.path.dirname(__file__), "mlengine_prediction_summary.py"),
         default_pipeline_options=dataflow_options,
         pipeline_options={
@@ -235,7 +237,7 @@ def validate_err_and_count(summary):
             "metric_keys": ",".join(metric_keys),
         },
         py_interpreter=py_interpreter,
-        py_requirements=["apache-beam[gcp]>=2.14.0"],
+        py_requirements=["apache-beam[gcp]>=2.46.0"],
         dag=dag,
     )
     evaluate_summary.set_upstream(evaluate_prediction)
diff --git a/airflow/providers/google/provider.yaml b/airflow/providers/google/provider.yaml
index 35b1a15e33f20..6a81e61b09662 100644
--- a/airflow/providers/google/provider.yaml
+++ b/airflow/providers/google/provider.yaml
@@ -68,73 +68,58 @@ versions:
 dependencies:
   - apache-airflow>=2.4.0
   - apache-airflow-providers-common-sql>=1.3.1
-  # Google has very clear rules on what dependencies should be used. All the limits below
-  # follow strict guidelines of Google Libraries as quoted here:
-  # While this issue is open, dependents of google-api-core, google-cloud-core. and google-auth
-  # should preserve >1, <3 pins on these packages.
-  # https://github.com/googleapis/google-cloud-python/issues/10566
-  # Some of Google Packages are limited to <2.0.0 because 2.0.0 releases of the libraries
-  # Introduced breaking changes across the board. Those libraries should be upgraded soon
-  # TODO: Upgrade all Google libraries that are limited to <2.0.0
-  - PyOpenSSL
   - asgiref>=3.5.2
   - gcloud-aio-auth>=4.0.0,<5.0.0
   - gcloud-aio-bigquery>=6.1.2
   - gcloud-aio-storage
-  # needed by vendored-in google-ads
-  - googleapis-common-protos<2.0.0,>=1.5.8
-  - google-api-core==2.8.2
-  - google-auth-oauthlib<1.0.0,>=0.3.0
-  - grpcio<2.0.0,>=1.38.1
-  - grpcio-status<2.0.0,>=1.38.1
-  - PyYAML<7.0,>=5.1
-  - proto-plus==1.19.6
-  - protobuf!=3.18.*,!=3.19.*,<=3.20.0,>=3.12.0
-  # Temporary commented out until we have google-ads vendored-in
-  # - google-ads>=15.1.1
-  # - google-api-core>=2.7.0,<3.0.0
-  - google-api-python-client>=1.6.0,<2.0.0
+  - google-ads>=20.0.0
+  - google-api-core>=2.11.0
+  - google-api-python-client>=1.6.0
   - google-auth>=1.0.0
   - google-auth-httplib2>=0.0.1
-  - google-cloud-aiplatform>=1.13.1,<2.0.0
-  - google-cloud-automl>=2.1.0
-  - google-cloud-bigquery-datatransfer>=3.0.0
-  - google-cloud-bigtable>=2.0.0,<3.0.0
-  - google-cloud-build>=3.0.0
-  - google-cloud-compute>=0.1.0,<2.0.0
-  - google-cloud-container>=2.2.0,<3.0.0
-  - google-cloud-dataflow-client>=0.5.2
-  - google-cloud-dataform>=0.2.0
-  - google-cloud-datacatalog>=3.0.0
-  - google-cloud-dataplex>=0.1.0
-  - google-cloud-dataproc>=3.1.0
-  - google-cloud-dataproc-metastore>=1.2.0,<2.0.0
-  - google-cloud-dlp>=3.0.0
-  - google-cloud-kms>=2.0.0
-  - google-cloud-language>=1.1.1,<2.0.0
-  - google-cloud-logging>=2.1.1
-  - google-cloud-memcache>=0.2.0
-  - google-cloud-monitoring>=2.0.0
-  - google-cloud-os-login>=2.0.0
-  - google-cloud-orchestration-airflow>=1.0.0,<2.0.0
-  - google-cloud-pubsub>=2.0.0
-  - google-cloud-redis>=2.0.0
-  - google-cloud-secret-manager>=0.2.0,<2.0.0
-  - google-cloud-spanner>=1.10.0,<2.0.0
-  - google-cloud-speech>=0.36.3,<2.0.0
-  - google-cloud-storage>=1.30,<3.0.0
-  - google-cloud-tasks>=2.0.0
-  - google-cloud-texttospeech>=0.4.0,<2.0.0
-  - google-cloud-translate>=1.5.0,<2.0.0
-  - google-cloud-videointelligence>=1.7.0,<2.0.0
-  - google-cloud-vision>=0.35.2,<2.0.0
-  - google-cloud-workflows>=0.1.0,<2.0.0
+  - google-cloud-aiplatform>=1.22.1
+  - google-cloud-automl>=2.11.0
+  - google-cloud-bigquery-datatransfer>=3.11.0
+  - google-cloud-bigtable>=2.17.0
+  - google-cloud-build>=3.13.0
+  - google-cloud-compute>=1.10.0
+  - google-cloud-container>=2.17.4
+  - google-cloud-datacatalog>=3.11.1
+  - google-cloud-dataflow-client>=0.8.2
+  - google-cloud-dataform>=0.5.0
+  - google-cloud-dataplex>=1.4.2
+  - google-cloud-dataproc>=5.4.0
+  - google-cloud-dataproc-metastore>=1.10.0
+  - google-cloud-dlp>=3.12.0
+  - google-cloud-kms>=2.15.0
+  - google-cloud-language>=2.9.0
+  - google-cloud-logging>=3.5.0
+  - google-cloud-memcache>=1.7.0
+  - google-cloud-monitoring>=2.14.1
+  - google-cloud-orchestration-airflow>=1.7.0
+  - google-cloud-os-login>=2.9.1
+  - google-cloud-pubsub>=2.15.0
+  - google-cloud-redis>=2.12.0
+  - google-cloud-secret-manager>=2.16.0
+  - google-cloud-spanner>=3.11.1
+  - google-cloud-speech>=2.18.0
+  - google-cloud-storage>=2.7.0
+  - google-cloud-tasks>=2.13.0
+  - google-cloud-texttospeech>=2.14.1
+  - google-cloud-translate>=3.11.0
+  - google-cloud-videointelligence>=2.11.0
+  - google-cloud-vision>=3.4.0
+  - google-cloud-workflows>=1.10.0
   - grpcio-gcp>=0.2.2
   - httpx
   - json-merge-patch>=0.2
   - looker-sdk>=22.2.0
   - pandas-gbq
   - pandas>=0.17.1
+  # A transient dependency of google-cloud-bigquery-datatransfer, but we
+  # further constrain it since older versions are buggy.
+  - proto-plus>=1.19.6
+  - PyOpenSSL
   - sqlalchemy-bigquery>=1.2.1
 
 integrations:
diff --git a/docs/apache-airflow-providers-google/operators/cloud/compute_ssh.rst b/docs/apache-airflow-providers-google/operators/cloud/compute_ssh.rst
index 7ccf3cb23a543..8e50f01566aff 100644
--- a/docs/apache-airflow-providers-google/operators/cloud/compute_ssh.rst
+++ b/docs/apache-airflow-providers-google/operators/cloud/compute_ssh.rst
@@ -45,20 +45,20 @@ Please note that the target instance must allow tcp traffic on port 22.
 
 Below is the code to create the operator:
 
-.. exampleinclude:: /../../airflow/providers/google/cloud/example_dags/example_compute_ssh.py
+.. exampleinclude:: /../../tests/system/providers/google/cloud/compute/example_compute_ssh.py
     :language: python
     :dedent: 4
-    :start-after: [START howto_execute_command_on_remote1]
-    :end-before: [END howto_execute_command_on_remote1]
+    :start-after: [START howto_execute_command_on_remote_1]
+    :end-before: [END howto_execute_command_on_remote_1]
 
 You can also create the hook without project id - project id will be retrieved
 from the Google credentials used:
 
-.. exampleinclude:: /../../airflow/providers/google/cloud/example_dags/example_compute_ssh.py
+.. exampleinclude:: /../../tests/system/providers/google/cloud/compute/example_compute_ssh.py
     :language: python
     :dedent: 4
-    :start-after: [START howto_execute_command_on_remote2]
-    :end-before: [END howto_execute_command_on_remote2]
+    :start-after: [START howto_execute_command_on_remote_2]
+    :end-before: [END howto_execute_command_on_remote_2]
 
 More information
 """"""""""""""""
diff --git a/docs/apache-airflow-providers-google/operators/cloud/dataproc.rst b/docs/apache-airflow-providers-google/operators/cloud/dataproc.rst
index f7775c6bfe870..5cc75b7f90ccf 100644
--- a/docs/apache-airflow-providers-google/operators/cloud/dataproc.rst
+++ b/docs/apache-airflow-providers-google/operators/cloud/dataproc.rst
@@ -104,7 +104,7 @@ For more information on updateMask and other parameters take a look at `Dataproc
 
 An example of a new cluster config and the updateMask:
 
-.. exampleinclude:: /../../tests/system/providers/google/cloud/dataproc/example_dataproc_update.py
+.. exampleinclude:: /../../tests/system/providers/google/cloud/dataproc/example_dataproc_cluster_update.py
     :language: python
     :dedent: 0
     :start-after: [START how_to_cloud_dataproc_updatemask_cluster_operator]
@@ -113,7 +113,7 @@ An example of a new cluster config and the updateMask:
 To update a cluster you can use:
 :class:`~airflow.providers.google.cloud.operators.dataproc.DataprocUpdateClusterOperator`
 
-.. exampleinclude:: /../../tests/system/providers/google/cloud/dataproc/example_dataproc_update.py
+.. exampleinclude:: /../../tests/system/providers/google/cloud/dataproc/example_dataproc_cluster_update.py
     :language: python
     :dedent: 4
     :start-after: [START how_to_cloud_dataproc_update_cluster_operator]
diff --git a/generated/provider_dependencies.json b/generated/provider_dependencies.json
index e7f8f73027109..0d836769f4d61 100644
--- a/generated/provider_dependencies.json
+++ b/generated/provider_dependencies.json
@@ -46,7 +46,7 @@
   "apache.beam": {
     "deps": [
       "apache-airflow>=2.4.0",
-      "apache-beam>=2.33.0"
+      "apache-beam>=2.47.0"
     ],
     "cross-providers-deps": [
       "google"
@@ -333,62 +333,57 @@
   "google": {
     "deps": [
       "PyOpenSSL",
-      "PyYAML<7.0,>=5.1",
       "apache-airflow-providers-common-sql>=1.3.1",
       "apache-airflow>=2.4.0",
       "asgiref>=3.5.2",
       "gcloud-aio-auth>=4.0.0,<5.0.0",
       "gcloud-aio-bigquery>=6.1.2",
       "gcloud-aio-storage",
-      "google-api-core==2.8.2",
-      "google-api-python-client>=1.6.0,<2.0.0",
+      "google-ads>=20.0.0",
+      "google-api-core>=2.11.0",
+      "google-api-python-client>=1.6.0",
       "google-auth-httplib2>=0.0.1",
-      "google-auth-oauthlib<1.0.0,>=0.3.0",
       "google-auth>=1.0.0",
-      "google-cloud-aiplatform>=1.13.1,<2.0.0",
-      "google-cloud-automl>=2.1.0",
-      "google-cloud-bigquery-datatransfer>=3.0.0",
-      "google-cloud-bigtable>=2.0.0,<3.0.0",
-      "google-cloud-build>=3.0.0",
-      "google-cloud-compute>=0.1.0,<2.0.0",
-      "google-cloud-container>=2.2.0,<3.0.0",
-      "google-cloud-datacatalog>=3.0.0",
-      "google-cloud-dataflow-client>=0.5.2",
-      "google-cloud-dataform>=0.2.0",
-      "google-cloud-dataplex>=0.1.0",
-      "google-cloud-dataproc-metastore>=1.2.0,<2.0.0",
-      "google-cloud-dataproc>=3.1.0",
-      "google-cloud-dlp>=3.0.0",
-      "google-cloud-kms>=2.0.0",
-      "google-cloud-language>=1.1.1,<2.0.0",
-      "google-cloud-logging>=2.1.1",
-      "google-cloud-memcache>=0.2.0",
-      "google-cloud-monitoring>=2.0.0",
-      "google-cloud-orchestration-airflow>=1.0.0,<2.0.0",
-      "google-cloud-os-login>=2.0.0",
-      "google-cloud-pubsub>=2.0.0",
-      "google-cloud-redis>=2.0.0",
-      "google-cloud-secret-manager>=0.2.0,<2.0.0",
-      "google-cloud-spanner>=1.10.0,<2.0.0",
-      "google-cloud-speech>=0.36.3,<2.0.0",
-      "google-cloud-storage>=1.30,<3.0.0",
-      "google-cloud-tasks>=2.0.0",
-      "google-cloud-texttospeech>=0.4.0,<2.0.0",
-      "google-cloud-translate>=1.5.0,<2.0.0",
-      "google-cloud-videointelligence>=1.7.0,<2.0.0",
-      "google-cloud-vision>=0.35.2,<2.0.0",
-      "google-cloud-workflows>=0.1.0,<2.0.0",
-      "googleapis-common-protos<2.0.0,>=1.5.8",
+      "google-cloud-aiplatform>=1.22.1",
+      "google-cloud-automl>=2.11.0",
+      "google-cloud-bigquery-datatransfer>=3.11.0",
+      "google-cloud-bigtable>=2.17.0",
+      "google-cloud-build>=3.13.0",
+      "google-cloud-compute>=1.10.0",
+      "google-cloud-container>=2.17.4",
+      "google-cloud-datacatalog>=3.11.1",
+      "google-cloud-dataflow-client>=0.8.2",
+      "google-cloud-dataform>=0.5.0",
+      "google-cloud-dataplex>=1.4.2",
+      "google-cloud-dataproc-metastore>=1.10.0",
+      "google-cloud-dataproc>=5.4.0",
+      "google-cloud-dlp>=3.12.0",
+      "google-cloud-kms>=2.15.0",
+      "google-cloud-language>=2.9.0",
+      "google-cloud-logging>=3.5.0",
+      "google-cloud-memcache>=1.7.0",
+      "google-cloud-monitoring>=2.14.1",
+      "google-cloud-orchestration-airflow>=1.7.0",
+      "google-cloud-os-login>=2.9.1",
+      "google-cloud-pubsub>=2.15.0",
+      "google-cloud-redis>=2.12.0",
+      "google-cloud-secret-manager>=2.16.0",
+      "google-cloud-spanner>=3.11.1",
+      "google-cloud-speech>=2.18.0",
+      "google-cloud-storage>=2.7.0",
+      "google-cloud-tasks>=2.13.0",
+      "google-cloud-texttospeech>=2.14.1",
+      "google-cloud-translate>=3.11.0",
+      "google-cloud-videointelligence>=2.11.0",
+      "google-cloud-vision>=3.4.0",
+      "google-cloud-workflows>=1.10.0",
       "grpcio-gcp>=0.2.2",
-      "grpcio-status<2.0.0,>=1.38.1",
-      "grpcio<2.0.0,>=1.38.1",
       "httpx",
       "json-merge-patch>=0.2",
       "looker-sdk>=22.2.0",
       "pandas-gbq",
       "pandas>=0.17.1",
-      "proto-plus==1.19.6",
-      "protobuf!=3.18.*,!=3.19.*,<=3.20.0,>=3.12.0",
+      "proto-plus>=1.19.6",
       "sqlalchemy-bigquery>=1.2.1"
     ],
     "cross-providers-deps": [
diff --git a/tests/providers/google/cloud/_internal_client/test_secret_manager_client.py b/tests/providers/google/cloud/_internal_client/test_secret_manager_client.py
index 2094766cb7d4d..86748dc9a0fcb 100644
--- a/tests/providers/google/cloud/_internal_client/test_secret_manager_client.py
+++ b/tests/providers/google/cloud/_internal_client/test_secret_manager_client.py
@@ -47,7 +47,7 @@ def test_get_non_existing_key(self, mock_secrets_client):
         secret = secrets_client.get_secret(secret_id="missing", project_id="project_id")
         mock_client.secret_version_path.assert_called_once_with("project_id", "missing", "latest")
         assert secret is None
-        mock_client.access_secret_version.assert_called_once_with("full-path")
+        mock_client.access_secret_version.assert_called_once_with(request={"name": "full-path"})
 
     @mock.patch(INTERNAL_CLIENT_MODULE + ".SecretManagerServiceClient")
     def test_get_no_permissions(self, mock_secrets_client):
@@ -60,7 +60,7 @@ def test_get_no_permissions(self, mock_secrets_client):
         secret = secrets_client.get_secret(secret_id="missing", project_id="project_id")
         mock_client.secret_version_path.assert_called_once_with("project_id", "missing", "latest")
         assert secret is None
-        mock_client.access_secret_version.assert_called_once_with("full-path")
+        mock_client.access_secret_version.assert_called_once_with(request={"name": "full-path"})
 
     @mock.patch(INTERNAL_CLIENT_MODULE + ".SecretManagerServiceClient")
     def test_get_invalid_id(self, mock_secrets_client):
@@ -73,7 +73,7 @@ def test_get_invalid_id(self, mock_secrets_client):
         secret = secrets_client.get_secret(secret_id="not.allow", project_id="project_id")
         mock_client.secret_version_path.assert_called_once_with("project_id", "not.allow", "latest")
         assert secret is None
-        mock_client.access_secret_version.assert_called_once_with("full-path")
+        mock_client.access_secret_version.assert_called_once_with(request={"name": "full-path"})
 
     @mock.patch(INTERNAL_CLIENT_MODULE + ".SecretManagerServiceClient")
     def test_get_existing_key(self, mock_secrets_client):
@@ -87,7 +87,7 @@ def test_get_existing_key(self, mock_secrets_client):
         secret = secrets_client.get_secret(secret_id="existing", project_id="project_id")
         mock_client.secret_version_path.assert_called_once_with("project_id", "existing", "latest")
         assert "result" == secret
-        mock_client.access_secret_version.assert_called_once_with("full-path")
+        mock_client.access_secret_version.assert_called_once_with(request={"name": "full-path"})
 
     @mock.patch(INTERNAL_CLIENT_MODULE + ".SecretManagerServiceClient")
     def test_get_existing_key_with_version(self, mock_secrets_client):
@@ -103,4 +103,4 @@ def test_get_existing_key_with_version(self, mock_secrets_client):
         )
         mock_client.secret_version_path.assert_called_once_with("project_id", "existing", "test-version")
         assert "result" == secret
-        mock_client.access_secret_version.assert_called_once_with("full-path")
+        mock_client.access_secret_version.assert_called_once_with(request={"name": "full-path"})
diff --git a/tests/providers/google/cloud/hooks/test_bigtable.py b/tests/providers/google/cloud/hooks/test_bigtable.py
index 231198e5c7cfe..4dda2fb009e76 100644
--- a/tests/providers/google/cloud/hooks/test_bigtable.py
+++ b/tests/providers/google/cloud/hooks/test_bigtable.py
@@ -503,8 +503,9 @@ def test_create_table(self, get_client, create):
         create.assert_called_once_with([], {})
 
     @mock.patch("google.cloud.bigtable.cluster.Cluster.update")
+    @mock.patch("google.cloud.bigtable.cluster.Cluster.reload")
     @mock.patch("airflow.providers.google.cloud.hooks.bigtable.BigtableHook._get_client")
-    def test_update_cluster(self, get_client, update):
+    def test_update_cluster(self, get_client, reload, update):
         instance_method = get_client.return_value.instance
         instance_exists_method = instance_method.return_value.exists
         instance_exists_method.return_value = True
@@ -514,6 +515,7 @@ def test_update_cluster(self, get_client, update):
             instance=instance, cluster_id=CBT_CLUSTER, nodes=4
         )
         get_client.assert_not_called()
+        reload.assert_called_once_with()
         update.assert_called_once_with()
 
     @mock.patch("google.cloud.bigtable.table.Table.list_column_families")
diff --git a/tests/providers/google/cloud/hooks/test_cloud_sql.py b/tests/providers/google/cloud/hooks/test_cloud_sql.py
index 64bbf8dfe5223..27eb176da4018 100644
--- a/tests/providers/google/cloud/hooks/test_cloud_sql.py
+++ b/tests/providers/google/cloud/hooks/test_cloud_sql.py
@@ -128,13 +128,7 @@ def test_instance_export_with_in_progress_retry(self, wait_for_operation_to_comp
         execute_method = export_method.return_value.execute
         execute_method.side_effect = [
             HttpError(
-                resp=type(
-                    "",
-                    (object,),
-                    {
-                        "status": 429,
-                    },
-                )(),
+                resp=httplib2.Response({"status": 429}),
                 content=b"Internal Server Error",
             ),
             {"name": "operation_id"},
@@ -200,13 +194,7 @@ def test_create_instance_with_in_progress_retry(
         execute_method = insert_method.return_value.execute
         execute_method.side_effect = [
             HttpError(
-                resp=type(
-                    "",
-                    (object,),
-                    {
-                        "status": 429,
-                    },
-                )(),
+                resp=httplib2.Response({"status": 429}),
                 content=b"Internal Server Error",
             ),
             {"name": "operation_id"},
@@ -234,13 +222,7 @@ def test_patch_instance_with_in_progress_retry(
         execute_method = patch_method.return_value.execute
         execute_method.side_effect = [
             HttpError(
-                resp=type(
-                    "",
-                    (object,),
-                    {
-                        "status": 429,
-                    },
-                )(),
+                resp=httplib2.Response({"status": 429}),
                 content=b"Internal Server Error",
             ),
             {"name": "operation_id"},
@@ -291,7 +273,7 @@ def test_delete_instance(self, wait_for_operation_to_complete, get_conn, mock_ge
         delete_method.assert_called_once_with(instance="instance", project="example-project")
         execute_method.assert_called_once_with(num_retries=5)
         wait_for_operation_to_complete.assert_called_once_with(
-            operation_name="operation_id", project_id="example-project"
+            operation_name="operation_id", project_id="example-project", time_to_sleep=5
         )
         assert 1 == mock_get_credentials.call_count
 
@@ -308,13 +290,7 @@ def test_delete_instance_with_in_progress_retry(
         execute_method = delete_method.return_value.execute
         execute_method.side_effect = [
             HttpError(
-                resp=type(
-                    "",
-                    (object,),
-                    {
-                        "status": 429,
-                    },
-                )(),
+                resp=httplib2.Response({"status": 429}),
                 content=b"Internal Server Error",
             ),
             {"name": "operation_id"},
@@ -326,7 +302,7 @@ def test_delete_instance_with_in_progress_retry(
         assert 2 == delete_method.call_count
         assert 2 == execute_method.call_count
         wait_for_operation_to_complete.assert_called_once_with(
-            operation_name="operation_id", project_id="example-project"
+            operation_name="operation_id", project_id="example-project", time_to_sleep=5
         )
 
     @mock.patch(
@@ -409,13 +385,7 @@ def test_create_database_with_in_progress_retry(
         execute_method = insert_method.return_value.execute
         execute_method.side_effect = [
             HttpError(
-                resp=type(
-                    "",
-                    (object,),
-                    {
-                        "status": 429,
-                    },
-                )(),
+                resp=httplib2.Response({"status": 429}),
                 content=b"Internal Server Error",
             ),
             {"name": "operation_id"},
@@ -465,13 +435,7 @@ def test_patch_database_with_in_progress_retry(
         execute_method = patch_method.return_value.execute
         execute_method.side_effect = [
             HttpError(
-                resp=type(
-                    "",
-                    (object,),
-                    {
-                        "status": 429,
-                    },
-                )(),
+                resp=httplib2.Response({"status": 429}),
                 content=b"Internal Server Error",
             ),
             {"name": "operation_id"},
@@ -521,13 +485,7 @@ def test_delete_database_with_in_progress_retry(
         execute_method = delete_method.return_value.execute
         execute_method.side_effect = [
             HttpError(
-                resp=type(
-                    "",
-                    (object,),
-                    {
-                        "status": 429,
-                    },
-                )(),
+                resp=httplib2.Response({"status": 429}),
                 content=b"Internal Server Error",
             ),
             {"name": "operation_id"},
@@ -684,7 +642,7 @@ def test_delete_instance_overridden_project_id(
         delete_method.assert_called_once_with(instance="instance", project="example-project")
         execute_method.assert_called_once_with(num_retries=5)
         wait_for_operation_to_complete.assert_called_once_with(
-            operation_name="operation_id", project_id="example-project"
+            operation_name="operation_id", project_id="example-project", time_to_sleep=5
         )
 
     @mock.patch(
diff --git a/tests/providers/google/cloud/hooks/test_cloud_storage_transfer_service.py b/tests/providers/google/cloud/hooks/test_cloud_storage_transfer_service.py
index d8cd3015989c0..15683186ae054 100644
--- a/tests/providers/google/cloud/hooks/test_cloud_storage_transfer_service.py
+++ b/tests/providers/google/cloud/hooks/test_cloud_storage_transfer_service.py
@@ -23,6 +23,7 @@
 from unittest import mock
 from unittest.mock import MagicMock, PropertyMock
 
+import httplib2
 import pytest
 from googleapiclient.errors import HttpError
 
@@ -101,11 +102,6 @@ def _with_name(body, job_name):
     return obj
 
 
-class GCPRequestMock:
-
-    status = TEST_HTTP_ERR_CODE
-
-
 class TestGCPTransferServiceHookWithPassedName:
     def test_delegate_to_runtime_error(self):
         with pytest.raises(RuntimeError):
@@ -143,7 +139,9 @@ def test_pass_name_on_create_job(
         enable_transfer_job: MagicMock,
     ):
         body = _with_name(TEST_BODY, TEST_CLEAR_JOB_NAME)
-        get_conn.side_effect = HttpError(GCPRequestMock(), TEST_HTTP_ERR_CONTENT)
+        get_conn.side_effect = HttpError(
+            httplib2.Response({"status": TEST_HTTP_ERR_CODE}), TEST_HTTP_ERR_CONTENT
+        )
 
         with pytest.raises(HttpError):
 
diff --git a/tests/providers/google/cloud/hooks/test_compute.py b/tests/providers/google/cloud/hooks/test_compute.py
index 0bba949a372c7..f4d5da5414ac0 100644
--- a/tests/providers/google/cloud/hooks/test_compute.py
+++ b/tests/providers/google/cloud/hooks/test_compute.py
@@ -70,8 +70,17 @@ def setup_method(self):
                 impersonation_chain=IMPERSONATION_CHAIN,
             )
 
+    @mock.patch(COMPUTE_ENGINE_HOOK_PATH.format("ComputeEngineHook._wait_for_operation_to_complete"))
+    @mock.patch(
+        "airflow.providers.google.common.hooks.base_google.GoogleBaseHook.project_id",
+        new_callable=PropertyMock,
+        return_value="mocked-google",
+    )
     @mock.patch(COMPUTE_ENGINE_HOOK_PATH.format("ComputeEngineHook.get_compute_instance_template_client"))
-    def test_insert_template_should_execute_successfully(self, mock_client):
+    def test_insert_template_should_execute_successfully(
+        self, mock_client, mocked_project_id, wait_for_operation_to_complete
+    ):
+        wait_for_operation_to_complete.return_value = None
         self.hook.insert_instance_template(
             project_id=PROJECT_ID,
             body=BODY,
@@ -90,13 +99,17 @@ def test_insert_template_should_execute_successfully(self, mock_client):
             metadata=METADATA,
         )
 
+    @mock.patch(COMPUTE_ENGINE_HOOK_PATH.format("ComputeEngineHook._wait_for_operation_to_complete"))
     @mock.patch(
         "airflow.providers.google.common.hooks.base_google.GoogleBaseHook.project_id",
         new_callable=PropertyMock,
         return_value="mocked-google",
     )
     @mock.patch(COMPUTE_ENGINE_HOOK_PATH.format("ComputeEngineHook.get_compute_instance_template_client"))
-    def test_insert_template_should_not_throw_ex_when_project_id_none(self, mock_client, mocked_project_id):
+    def test_insert_template_should_not_throw_ex_when_project_id_none(
+        self, mock_client, mocked_project_id, wait_for_operation_to_complete
+    ):
+        wait_for_operation_to_complete.return_value = None
         self.hook.insert_instance_template(
             body=BODY,
             retry=RETRY,
@@ -114,8 +127,17 @@ def test_insert_template_should_not_throw_ex_when_project_id_none(self, mock_cli
             metadata=METADATA,
         )
 
+    @mock.patch(COMPUTE_ENGINE_HOOK_PATH.format("ComputeEngineHook._wait_for_operation_to_complete"))
+    @mock.patch(
+        "airflow.providers.google.common.hooks.base_google.GoogleBaseHook.project_id",
+        new_callable=PropertyMock,
+        return_value="mocked-google",
+    )
     @mock.patch(COMPUTE_ENGINE_HOOK_PATH.format("ComputeEngineHook.get_compute_instance_template_client"))
-    def test_delete_template_should_execute_successfully(self, mock_client):
+    def test_delete_template_should_execute_successfully(
+        self, mock_client, mocked_project_id, wait_for_operation_to_complete
+    ):
+        wait_for_operation_to_complete.return_value = None
         self.hook.delete_instance_template(
             project_id=PROJECT_ID,
             resource_id=RESOURCE_ID,
@@ -134,13 +156,17 @@ def test_delete_template_should_execute_successfully(self, mock_client):
             metadata=METADATA,
         )
 
+    @mock.patch(COMPUTE_ENGINE_HOOK_PATH.format("ComputeEngineHook._wait_for_operation_to_complete"))
     @mock.patch(
         "airflow.providers.google.common.hooks.base_google.GoogleBaseHook.project_id",
         new_callable=PropertyMock,
         return_value="mocked-google",
     )
     @mock.patch(COMPUTE_ENGINE_HOOK_PATH.format("ComputeEngineHook.get_compute_instance_template_client"))
-    def test_delete_template_should_not_throw_ex_when_project_id_none(self, mock_client, mocked_project_id):
+    def test_delete_template_should_not_throw_ex_when_project_id_none(
+        self, mock_client, mocked_project_id, wait_for_operation_to_complete
+    ):
+        wait_for_operation_to_complete.return_value = None
         self.hook.delete_instance_template(
             resource_id=RESOURCE_ID,
             retry=RETRY,
@@ -200,8 +226,10 @@ def test_get_template_should_not_throw_ex_when_project_id_none(self, mock_client
             metadata=METADATA,
         )
 
+    @mock.patch(COMPUTE_ENGINE_HOOK_PATH.format("ComputeEngineHook._wait_for_operation_to_complete"))
     @mock.patch(COMPUTE_ENGINE_HOOK_PATH.format("ComputeEngineHook.get_compute_instance_client"))
-    def test_insert_instance_should_execute_successfully(self, mock_client):
+    def test_insert_instance_should_execute_successfully(self, mock_client, wait_for_operation_to_complete):
+        wait_for_operation_to_complete.return_value = None
         self.hook.insert_instance(
             project_id=PROJECT_ID,
             body=BODY,
@@ -224,13 +252,17 @@ def test_insert_instance_should_execute_successfully(self, mock_client):
             metadata=METADATA,
         )
 
+    @mock.patch(COMPUTE_ENGINE_HOOK_PATH.format("ComputeEngineHook._wait_for_operation_to_complete"))
     @mock.patch(
         "airflow.providers.google.common.hooks.base_google.GoogleBaseHook.project_id",
         new_callable=PropertyMock,
         return_value="mocked-google",
     )
     @mock.patch(COMPUTE_ENGINE_HOOK_PATH.format("ComputeEngineHook.get_compute_instance_client"))
-    def test_insert_instance_should_not_throw_ex_when_project_id_none(self, mock_client, mocked_project_id):
+    def test_insert_instance_should_not_throw_ex_when_project_id_none(
+        self, mock_client, mocked_project_id, wait_for_operation_to_complete
+    ):
+        wait_for_operation_to_complete.return_value = None
         self.hook.insert_instance(
             body=BODY,
             zone=ZONE,
@@ -298,8 +330,10 @@ def test_get_instance_should_not_throw_ex_when_project_id_none(self, mock_client
             metadata=METADATA,
         )
 
+    @mock.patch(COMPUTE_ENGINE_HOOK_PATH.format("ComputeEngineHook._wait_for_operation_to_complete"))
     @mock.patch(COMPUTE_ENGINE_HOOK_PATH.format("ComputeEngineHook.get_compute_instance_client"))
-    def test_delete_instance_should_execute_successfully(self, mock_client):
+    def test_delete_instance_should_execute_successfully(self, mock_client, wait_for_operation_to_complete):
+        wait_for_operation_to_complete.return_value = None
         self.hook.delete_instance(
             resource_id=RESOURCE_ID,
             zone=ZONE,
@@ -320,13 +354,17 @@ def test_delete_instance_should_execute_successfully(self, mock_client):
             metadata=METADATA,
         )
 
+    @mock.patch(COMPUTE_ENGINE_HOOK_PATH.format("ComputeEngineHook._wait_for_operation_to_complete"))
     @mock.patch(
         "airflow.providers.google.common.hooks.base_google.GoogleBaseHook.project_id",
         new_callable=PropertyMock,
         return_value="mocked-google",
     )
     @mock.patch(COMPUTE_ENGINE_HOOK_PATH.format("ComputeEngineHook.get_compute_instance_client"))
-    def test_delete_instance_should_not_throw_ex_when_project_id_none(self, mock_client, mocked_project_id):
+    def test_delete_instance_should_not_throw_ex_when_project_id_none(
+        self, mock_client, mocked_project_id, wait_for_operation_to_complete
+    ):
+        wait_for_operation_to_complete.return_value = None
         self.hook.delete_instance(
             resource_id=RESOURCE_ID,
             zone=ZONE,
@@ -346,10 +384,14 @@ def test_delete_instance_should_not_throw_ex_when_project_id_none(self, mock_cli
             metadata=METADATA,
         )
 
+    @mock.patch(COMPUTE_ENGINE_HOOK_PATH.format("ComputeEngineHook._wait_for_operation_to_complete"))
     @mock.patch(
         COMPUTE_ENGINE_HOOK_PATH.format("ComputeEngineHook.get_compute_instance_group_managers_client")
     )
-    def test_insert_instance_group_manager_should_execute_successfully(self, mock_client):
+    def test_insert_instance_group_manager_should_execute_successfully(
+        self, mock_client, wait_for_operation_to_complete
+    ):
+        wait_for_operation_to_complete.return_value = None
         self.hook.insert_instance_group_manager(
             body=BODY,
             zone=ZONE,
@@ -370,6 +412,7 @@ def test_insert_instance_group_manager_should_execute_successfully(self, mock_cl
             metadata=METADATA,
         )
 
+    @mock.patch(COMPUTE_ENGINE_HOOK_PATH.format("ComputeEngineHook._wait_for_operation_to_complete"))
     @mock.patch(
         "airflow.providers.google.common.hooks.base_google.GoogleBaseHook.project_id",
         new_callable=PropertyMock,
@@ -379,8 +422,9 @@ def test_insert_instance_group_manager_should_execute_successfully(self, mock_cl
         COMPUTE_ENGINE_HOOK_PATH.format("ComputeEngineHook.get_compute_instance_group_managers_client")
     )
     def test_insert_instance_group_manager_should_not_throw_ex_when_project_id_none(
-        self, mock_client, mocked_project_id
+        self, mock_client, mocked_project_id, wait_for_operation_to_complete
     ):
+        wait_for_operation_to_complete.return_value = None
         self.hook.insert_instance_group_manager(
             body=BODY,
             zone=ZONE,
@@ -452,10 +496,14 @@ def test_get_instance_group_manager_should_not_throw_ex_when_project_id_none(
             metadata=METADATA,
         )
 
+    @mock.patch(COMPUTE_ENGINE_HOOK_PATH.format("ComputeEngineHook._wait_for_operation_to_complete"))
     @mock.patch(
         COMPUTE_ENGINE_HOOK_PATH.format("ComputeEngineHook.get_compute_instance_group_managers_client")
     )
-    def test_delete_instance_group_manager_should_execute_successfully(self, mock_client):
+    def test_delete_instance_group_manager_should_execute_successfully(
+        self, mock_client, wait_for_operation_to_complete
+    ):
+        wait_for_operation_to_complete.return_value = None
         self.hook.delete_instance_group_manager(
             resource_id=RESOURCE_ID,
             zone=ZONE,
@@ -476,6 +524,7 @@ def test_delete_instance_group_manager_should_execute_successfully(self, mock_cl
             metadata=METADATA,
         )
 
+    @mock.patch(COMPUTE_ENGINE_HOOK_PATH.format("ComputeEngineHook._wait_for_operation_to_complete"))
     @mock.patch(
         "airflow.providers.google.common.hooks.base_google.GoogleBaseHook.project_id",
         new_callable=PropertyMock,
@@ -485,8 +534,9 @@ def test_delete_instance_group_manager_should_execute_successfully(self, mock_cl
         COMPUTE_ENGINE_HOOK_PATH.format("ComputeEngineHook.get_compute_instance_group_managers_client")
     )
     def test_delete_instance_group_manager_should_not_throw_ex_when_project_id_none(
-        self, mock_client, mocked_project_id
+        self, mock_client, mocked_project_id, wait_for_operation_to_complete
     ):
+        wait_for_operation_to_complete.return_value = None
         self.hook.delete_instance_group_manager(
             resource_id=RESOURCE_ID,
             zone=ZONE,
diff --git a/tests/providers/google/cloud/hooks/test_natural_language.py b/tests/providers/google/cloud/hooks/test_natural_language.py
index ea61a8e75b21d..22ba3d87c10f5 100644
--- a/tests/providers/google/cloud/hooks/test_natural_language.py
+++ b/tests/providers/google/cloud/hooks/test_natural_language.py
@@ -22,7 +22,7 @@
 
 import pytest
 from google.api_core.gapic_v1.method import DEFAULT
-from google.cloud.language_v1.proto.language_service_pb2 import Document
+from google.cloud.language_v1 import Document
 
 from airflow.providers.google.cloud.hooks.natural_language import CloudNaturalLanguageHook
 from airflow.providers.google.common.consts import CLIENT_INFO
diff --git a/tests/providers/google/cloud/hooks/test_pubsub.py b/tests/providers/google/cloud/hooks/test_pubsub.py
index 72e08163a6e07..cad0451bc68e0 100644
--- a/tests/providers/google/cloud/hooks/test_pubsub.py
+++ b/tests/providers/google/cloud/hooks/test_pubsub.py
@@ -20,6 +20,7 @@
 from unittest import mock
 from uuid import UUID
 
+import httplib2
 import pytest
 from google.api_core.exceptions import AlreadyExists, GoogleAPICallError
 from google.api_core.gapic_v1.method import DEFAULT
@@ -432,7 +433,9 @@ def test_pull_no_messages(self, mock_service):
     @pytest.mark.parametrize(
         "exception",
         [
-            pytest.param(HttpError(resp={"status": "404"}, content=EMPTY_CONTENT), id="http-error-404"),
+            pytest.param(
+                HttpError(resp=httplib2.Response({"status": 404}), content=EMPTY_CONTENT), id="http-error-404"
+            ),
             pytest.param(GoogleAPICallError("API Call Error"), id="google-api-call-error"),
         ],
     )
@@ -514,7 +517,9 @@ def test_acknowledge_fails_on_method_args_validation(self, mock_service, ack_ids
     @pytest.mark.parametrize(
         "exception",
         [
-            pytest.param(HttpError(resp={"status": "404"}, content=EMPTY_CONTENT), id="http-error-404"),
+            pytest.param(
+                HttpError(resp=httplib2.Response({"status": 404}), content=EMPTY_CONTENT), id="http-error-404"
+            ),
             pytest.param(GoogleAPICallError("API Call Error"), id="google-api-call-error"),
         ],
     )
diff --git a/tests/providers/google/cloud/hooks/test_secret_manager.py b/tests/providers/google/cloud/hooks/test_secret_manager.py
index 84e4b4334ef87..6f0f1a5339aca 100644
--- a/tests/providers/google/cloud/hooks/test_secret_manager.py
+++ b/tests/providers/google/cloud/hooks/test_secret_manager.py
@@ -21,7 +21,7 @@
 
 import pytest
 from google.api_core.exceptions import NotFound
-from google.cloud.secretmanager_v1.proto.service_pb2 import AccessSecretVersionResponse
+from google.cloud.secretmanager_v1.types.service import AccessSecretVersionResponse
 
 from airflow.providers.google.cloud.hooks.secret_manager import SecretsManagerHook
 from tests.providers.google.cloud.utils.base_gcp_mock import (
@@ -52,7 +52,7 @@ def test_get_missing_key(self, mock_get_credentials, mock_client):
         mock_get_credentials.assert_called_once_with()
         secret = secrets_manager_hook.get_secret(secret_id="secret")
         mock_client.secret_version_path.assert_called_once_with("example-project", "secret", "latest")
-        mock_client.access_secret_version.assert_called_once_with("full-path")
+        mock_client.access_secret_version.assert_called_once_with(request={"name": "full-path"})
         assert secret is None
 
     @patch(INTERNAL_CLIENT_PACKAGE + "._SecretManagerClient.client", return_value=MagicMock())
@@ -70,5 +70,5 @@ def test_get_existing_key(self, mock_get_credentials, mock_client):
         mock_get_credentials.assert_called_once_with()
         secret = secrets_manager_hook.get_secret(secret_id="secret")
         mock_client.secret_version_path.assert_called_once_with("example-project", "secret", "latest")
-        mock_client.access_secret_version.assert_called_once_with("full-path")
+        mock_client.access_secret_version.assert_called_once_with(request={"name": "full-path"})
         assert "result" == secret
diff --git a/tests/providers/google/cloud/hooks/test_speech_to_text.py b/tests/providers/google/cloud/hooks/test_speech_to_text.py
index 3f66a6662181b..8cda071976245 100644
--- a/tests/providers/google/cloud/hooks/test_speech_to_text.py
+++ b/tests/providers/google/cloud/hooks/test_speech_to_text.py
@@ -21,17 +21,18 @@
 
 import pytest
 from google.api_core.gapic_v1.method import DEFAULT
+from google.cloud.speech_v1.types import RecognitionAudio, RecognitionConfig
 
 from airflow.providers.google.cloud.hooks.speech_to_text import CloudSpeechToTextHook
 from airflow.providers.google.common.consts import CLIENT_INFO
 from tests.providers.google.cloud.utils.base_gcp_mock import mock_base_gcp_hook_default_project_id
 
 PROJECT_ID = "project-id"
-CONFIG = {"encryption": "LINEAR16"}
+CONFIG = {"encoding": "LINEAR16"}
 AUDIO = {"uri": "gs://bucket/object"}
 
 
-class TestTextToSpeechOperator:
+class TestCloudSpeechToTextHook:
     def test_delegate_to_runtime_error(self):
         with pytest.raises(RuntimeError):
             CloudSpeechToTextHook(gcp_conn_id="GCP_CONN_ID", delegate_to="delegate_to")
@@ -56,4 +57,6 @@ def test_synthesize_speech(self, get_conn):
         recognize_method = get_conn.return_value.recognize
         recognize_method.return_value = None
         self.gcp_speech_to_text_hook.recognize_speech(config=CONFIG, audio=AUDIO)
-        recognize_method.assert_called_once_with(config=CONFIG, audio=AUDIO, retry=DEFAULT, timeout=None)
+        recognize_method.assert_called_once_with(
+            config=RecognitionConfig(CONFIG), audio=RecognitionAudio(AUDIO), retry=DEFAULT, timeout=None
+        )
diff --git a/tests/providers/google/cloud/hooks/test_text_to_speech.py b/tests/providers/google/cloud/hooks/test_text_to_speech.py
index 784a9c8c8fd98..573c56e098f58 100644
--- a/tests/providers/google/cloud/hooks/test_text_to_speech.py
+++ b/tests/providers/google/cloud/hooks/test_text_to_speech.py
@@ -21,6 +21,11 @@
 
 import pytest
 from google.api_core.gapic_v1.method import DEFAULT
+from google.cloud.texttospeech_v1.types import (
+    AudioConfig,
+    SynthesisInput,
+    VoiceSelectionParams,
+)
 
 from airflow.providers.google.cloud.hooks.text_to_speech import CloudTextToSpeechHook
 from airflow.providers.google.common.consts import CLIENT_INFO
@@ -59,5 +64,9 @@ def test_synthesize_speech(self, get_conn):
             input_data=INPUT, voice=VOICE, audio_config=AUDIO_CONFIG
         )
         synthesize_method.assert_called_once_with(
-            input_=INPUT, voice=VOICE, audio_config=AUDIO_CONFIG, retry=DEFAULT, timeout=None
+            input=SynthesisInput(INPUT),
+            voice=VoiceSelectionParams(VOICE),
+            audio_config=AudioConfig(AUDIO_CONFIG),
+            retry=DEFAULT,
+            timeout=None,
         )
diff --git a/tests/providers/google/cloud/hooks/test_video_intelligence.py b/tests/providers/google/cloud/hooks/test_video_intelligence.py
index 46017de585d01..75bb9b92f71c8 100644
--- a/tests/providers/google/cloud/hooks/test_video_intelligence.py
+++ b/tests/providers/google/cloud/hooks/test_video_intelligence.py
@@ -21,7 +21,7 @@
 
 import pytest
 from google.api_core.gapic_v1.method import DEFAULT
-from google.cloud.videointelligence_v1 import enums
+from google.cloud.videointelligence_v1 import Feature
 
 from airflow.providers.google.cloud.hooks.video_intelligence import CloudVideoIntelligenceHook
 from airflow.providers.google.common.consts import CLIENT_INFO
@@ -30,7 +30,7 @@
 INPUT_URI = "gs://bucket-name/input-file"
 OUTPUT_URI = "gs://bucket-name/output-file"
 
-FEATURES = [enums.Feature.LABEL_DETECTION]
+FEATURES = [Feature.LABEL_DETECTION]
 
 ANNOTATE_VIDEO_RESPONSE = {"test": "test"}
 
@@ -69,12 +69,14 @@ def test_annotate_video(self, get_conn):
         # Then
         assert result is ANNOTATE_VIDEO_RESPONSE
         annotate_video_method.assert_called_once_with(
-            input_uri=INPUT_URI,
-            input_content=None,
-            features=FEATURES,
-            video_context=None,
-            output_uri=None,
-            location_id=None,
+            request={
+                "input_uri": INPUT_URI,
+                "input_content": None,
+                "features": FEATURES,
+                "video_context": None,
+                "output_uri": None,
+                "location_id": None,
+            },
             retry=DEFAULT,
             timeout=None,
             metadata=(),
@@ -92,12 +94,14 @@ def test_annotate_video_with_output_uri(self, get_conn):
         # Then
         assert result is ANNOTATE_VIDEO_RESPONSE
         annotate_video_method.assert_called_once_with(
-            input_uri=INPUT_URI,
-            output_uri=OUTPUT_URI,
-            input_content=None,
-            features=FEATURES,
-            video_context=None,
-            location_id=None,
+            request={
+                "input_uri": INPUT_URI,
+                "output_uri": OUTPUT_URI,
+                "input_content": None,
+                "features": FEATURES,
+                "video_context": None,
+                "location_id": None,
+            },
             retry=DEFAULT,
             timeout=None,
             metadata=(),
diff --git a/tests/providers/google/cloud/hooks/test_vision.py b/tests/providers/google/cloud/hooks/test_vision.py
index dbdc4b2a66519..52bbd906801fc 100644
--- a/tests/providers/google/cloud/hooks/test_vision.py
+++ b/tests/providers/google/cloud/hooks/test_vision.py
@@ -21,14 +21,17 @@
 
 import pytest
 from google.api_core.gapic_v1.method import DEFAULT
-from google.cloud.vision import enums
-from google.cloud.vision_v1 import ProductSearchClient
-from google.cloud.vision_v1.proto.image_annotator_pb2 import (
+from google.cloud.vision_v1 import (
+    AnnotateImageRequest,
     AnnotateImageResponse,
     EntityAnnotation,
+    Feature,
+    Product,
+    ProductSearchClient,
+    ProductSet,
+    ReferenceImage,
     SafeSearchAnnotation,
 )
-from google.cloud.vision_v1.proto.product_search_service_pb2 import Product, ProductSet, ReferenceImage
 from google.protobuf.json_format import MessageToDict
 
 from airflow.exceptions import AirflowException
@@ -51,16 +54,16 @@
 REFERENCE_IMAGE_GEN_ID_TEST = "ri-id"
 ANNOTATE_IMAGE_REQUEST = {
     "image": {"source": {"image_uri": "gs://bucket-name/object-name"}},
-    "features": [{"type": enums.Feature.Type.LOGO_DETECTION}],
+    "features": [{"type": Feature.Type.LOGO_DETECTION}],
 }
 BATCH_ANNOTATE_IMAGE_REQUEST = [
     {
         "image": {"source": {"image_uri": "gs://bucket-name/object-name"}},
-        "features": [{"type": enums.Feature.Type.LOGO_DETECTION}],
+        "features": [{"type_": Feature.Type.LOGO_DETECTION}],
     },
     {
         "image": {"source": {"image_uri": "gs://bucket-name/object-name"}},
-        "features": [{"type": enums.Feature.Type.LOGO_DETECTION}],
+        "features": [{"type_": Feature.Type.LOGO_DETECTION}],
     },
 ]
 REFERENCE_IMAGE_NAME_TEST = (
@@ -108,7 +111,7 @@ def test_create_productset_explicit_id(self, get_conn):
         # Given
         create_product_set_method = get_conn.return_value.create_product_set
         create_product_set_method.return_value = None
-        parent = ProductSearchClient.location_path(PROJECT_ID_TEST, LOC_ID_TEST)
+        parent = f"projects/{PROJECT_ID_TEST}/locations/{LOC_ID_TEST}"
         product_set = ProductSet()
         # When
         result = self.hook.create_product_set(
@@ -142,7 +145,7 @@ def test_create_productset_autogenerated_id(self, get_conn):
         )
         create_product_set_method = get_conn.return_value.create_product_set
         create_product_set_method.return_value = response_product_set
-        parent = ProductSearchClient.location_path(PROJECT_ID_TEST, LOC_ID_TEST)
+        parent = f"projects/{PROJECT_ID_TEST}/locations/{LOC_ID_TEST}"
         product_set = ProductSet()
         # When
         result = self.hook.create_product_set(
@@ -167,7 +170,7 @@ def test_create_productset_autogenerated_id_wrong_api_response(self, get_conn):
         response_product_set = None
         create_product_set_method = get_conn.return_value.create_product_set
         create_product_set_method.return_value = response_product_set
-        parent = ProductSearchClient.location_path(PROJECT_ID_TEST, LOC_ID_TEST)
+        parent = f"projects/{PROJECT_ID_TEST}/locations/{LOC_ID_TEST}"
         product_set = ProductSet()
         # When
         with pytest.raises(AirflowException) as ctx:
@@ -206,7 +209,7 @@ def test_get_productset(self, get_conn):
         )
         # Then
         assert response
-        assert response == MessageToDict(response_product_set)
+        assert response == MessageToDict(response_product_set._pb)
         get_product_set_method.assert_called_once_with(name=name, retry=DEFAULT, timeout=None, metadata=())
 
     @mock.patch("airflow.providers.google.cloud.hooks.vision.CloudVisionHook.get_conn")
@@ -230,7 +233,7 @@ def test_update_productset_no_explicit_name(self, get_conn):
             metadata=(),
         )
         # Then
-        assert result == MessageToDict(product_set)
+        assert result == MessageToDict(product_set._pb)
         update_product_set_method.assert_called_once_with(
             product_set=ProductSet(name=productset_name),
             metadata=(),
@@ -292,7 +295,7 @@ def test_update_productset_explicit_name_missing_params_for_constructed_name(
             metadata=(),
         )
         # Then
-        assert result == MessageToDict(product_set)
+        assert result == MessageToDict(product_set._pb)
         update_product_set_method.assert_called_once_with(
             product_set=ProductSet(name=explicit_ps_name),
             metadata=(),
@@ -469,7 +472,9 @@ def test_batch_annotate_images(self, annotator_client_mock):
         # Then
         # Product ID was provided explicitly in the method call above, should be returned from the method
         batch_annotate_images_method.assert_called_once_with(
-            requests=BATCH_ANNOTATE_IMAGE_REQUEST, retry=DEFAULT, timeout=None
+            requests=list(map(AnnotateImageRequest, BATCH_ANNOTATE_IMAGE_REQUEST)),
+            retry=DEFAULT,
+            timeout=None,
         )
 
     @mock.patch("airflow.providers.google.cloud.hooks.vision.CloudVisionHook.get_conn")
@@ -477,7 +482,7 @@ def test_create_product_explicit_id(self, get_conn):
         # Given
         create_product_method = get_conn.return_value.create_product
         create_product_method.return_value = None
-        parent = ProductSearchClient.location_path(PROJECT_ID_TEST, LOC_ID_TEST)
+        parent = f"projects/{PROJECT_ID_TEST}/locations/{LOC_ID_TEST}"
         product = Product()
         # When
         result = self.hook.create_product(
@@ -504,7 +509,7 @@ def test_create_product_autogenerated_id(self, get_conn):
         )
         create_product_method = get_conn.return_value.create_product
         create_product_method.return_value = response_product
-        parent = ProductSearchClient.location_path(PROJECT_ID_TEST, LOC_ID_TEST)
+        parent = f"projects/{PROJECT_ID_TEST}/locations/{LOC_ID_TEST}"
         product = Product()
         # When
         result = self.hook.create_product(
@@ -525,7 +530,7 @@ def test_create_product_autogenerated_id_wrong_name_in_response(self, get_conn):
         response_product = Product(name=wrong_name)
         create_product_method = get_conn.return_value.create_product
         create_product_method.return_value = response_product
-        parent = ProductSearchClient.location_path(PROJECT_ID_TEST, LOC_ID_TEST)
+        parent = f"projects/{PROJECT_ID_TEST}/locations/{LOC_ID_TEST}"
         product = Product()
         # When
         with pytest.raises(AirflowException) as ctx:
@@ -546,7 +551,7 @@ def test_create_product_autogenerated_id_wrong_api_response(self, get_conn):
         response_product = None
         create_product_method = get_conn.return_value.create_product
         create_product_method.return_value = response_product
-        parent = ProductSearchClient.location_path(PROJECT_ID_TEST, LOC_ID_TEST)
+        parent = f"projects/{PROJECT_ID_TEST}/locations/{LOC_ID_TEST}"
         product = Product()
         # When
         with pytest.raises(AirflowException) as ctx:
@@ -580,7 +585,7 @@ def test_update_product_no_explicit_name(self, get_conn):
             metadata=(),
         )
         # Then
-        assert result == MessageToDict(product)
+        assert result == MessageToDict(product._pb)
         update_product_method.assert_called_once_with(
             product=Product(name=product_name), metadata=(), retry=DEFAULT, timeout=None, update_mask=None
         )
@@ -635,7 +640,7 @@ def test_update_product_explicit_name_missing_params_for_constructed_name(
             metadata=(),
         )
         # Then
-        assert result == MessageToDict(product)
+        assert result == MessageToDict(product._pb)
         update_product_method.assert_called_once_with(
             product=Product(name=explicit_p_name), metadata=(), retry=DEFAULT, timeout=None, update_mask=None
         )
diff --git a/tests/providers/google/cloud/operators/test_automl.py b/tests/providers/google/cloud/operators/test_automl.py
index ed99a0a472c43..2c9872f4450bb 100644
--- a/tests/providers/google/cloud/operators/test_automl.py
+++ b/tests/providers/google/cloud/operators/test_automl.py
@@ -71,6 +71,7 @@ class TestAutoMLTrainModelOperator:
     def test_execute(self, mock_hook):
         mock_hook.return_value.create_model.return_value.result.return_value = Model(name=MODEL_PATH)
         mock_hook.return_value.extract_object_id = extract_object_id
+        mock_hook.return_value.wait_for_operation.return_value = Model()
         op = AutoMLTrainModelOperator(
             model=MODEL,
             location=GCP_LOCATION,
@@ -93,6 +94,7 @@ class TestAutoMLBatchPredictOperator:
     def test_execute(self, mock_hook):
         mock_hook.return_value.batch_predict.return_value.result.return_value = BatchPredictResult()
         mock_hook.return_value.extract_object_id = extract_object_id
+        mock_hook.return_value.wait_for_operation.return_value = BatchPredictResult()
 
         op = AutoMLBatchPredictOperator(
             model_id=MODEL_ID,
diff --git a/tests/providers/google/cloud/operators/test_functions.py b/tests/providers/google/cloud/operators/test_functions.py
index 5d520fa2b211c..18f2364c918d0 100644
--- a/tests/providers/google/cloud/operators/test_functions.py
+++ b/tests/providers/google/cloud/operators/test_functions.py
@@ -20,6 +20,7 @@
 from copy import deepcopy
 from unittest import mock
 
+import httplib2
 import pytest
 from googleapiclient.errors import HttpError
 
@@ -33,7 +34,7 @@
 from airflow.version import version
 
 EMPTY_CONTENT = b""
-MOCK_RESP_404 = type("", (object,), {"status": 404})()
+MOCK_RESP_404 = httplib2.Response({"status": 404})
 
 GCP_PROJECT_ID = "test_project_id"
 GCP_LOCATION = "test_region"
@@ -657,7 +658,7 @@ def test_gcf_error_silenced_when_function_doesnt_exist(self, mock_hook):
     @mock.patch("airflow.providers.google.cloud.operators.functions.CloudFunctionsHook")
     def test_non_404_gcf_error_bubbled_up(self, mock_hook):
         op = CloudFunctionDeleteFunctionOperator(name=self._FUNCTION_NAME, task_id="id")
-        resp = type("", (object,), {"status": 500})()
+        resp = httplib2.Response({"status": 500})
         mock_hook.return_value.delete_function.side_effect = mock.Mock(
             side_effect=HttpError(resp=resp, content=b"error")
         )
diff --git a/tests/providers/google/cloud/operators/test_natural_language.py b/tests/providers/google/cloud/operators/test_natural_language.py
index 132cb2443f10e..e77f77d80deea 100644
--- a/tests/providers/google/cloud/operators/test_natural_language.py
+++ b/tests/providers/google/cloud/operators/test_natural_language.py
@@ -19,7 +19,7 @@
 
 from unittest.mock import patch
 
-from google.cloud.language_v1.proto.language_service_pb2 import (
+from google.cloud.language_v1 import (
     AnalyzeEntitiesResponse,
     AnalyzeEntitySentimentResponse,
     AnalyzeSentimentResponse,
diff --git a/tests/providers/google/cloud/operators/test_speech_to_text.py b/tests/providers/google/cloud/operators/test_speech_to_text.py
index a693b35f06b6c..51dd6dd8db7c0 100644
--- a/tests/providers/google/cloud/operators/test_speech_to_text.py
+++ b/tests/providers/google/cloud/operators/test_speech_to_text.py
@@ -21,6 +21,7 @@
 
 import pytest
 from google.api_core.gapic_v1.method import DEFAULT
+from google.cloud.speech_v1 import RecognizeResponse
 
 from airflow.exceptions import AirflowException
 from airflow.providers.google.cloud.operators.speech_to_text import CloudSpeechToTextRecognizeSpeechOperator
@@ -32,10 +33,10 @@
 AUDIO = {"uri": "gs://bucket/object"}
 
 
-class TestCloudSql:
+class TestCloudSpeechToTextRecognizeSpeechOperator:
     @patch("airflow.providers.google.cloud.operators.speech_to_text.CloudSpeechToTextHook")
     def test_recognize_speech_green_path(self, mock_hook):
-        mock_hook.return_value.recognize_speech.return_value = MagicMock()
+        mock_hook.return_value.recognize_speech.return_value = RecognizeResponse()
 
         CloudSpeechToTextRecognizeSpeechOperator(
             project_id=PROJECT_ID,
diff --git a/tests/providers/google/cloud/operators/test_translate_speech.py b/tests/providers/google/cloud/operators/test_translate_speech.py
index f46d411ede2c3..6dd000504cef5 100644
--- a/tests/providers/google/cloud/operators/test_translate_speech.py
+++ b/tests/providers/google/cloud/operators/test_translate_speech.py
@@ -20,7 +20,7 @@
 from unittest import mock
 
 import pytest
-from google.cloud.speech_v1.proto.cloud_speech_pb2 import (
+from google.cloud.speech_v1 import (
     RecognizeResponse,
     SpeechRecognitionAlternative,
     SpeechRecognitionResult,
diff --git a/tests/providers/google/cloud/operators/test_video_intelligence.py b/tests/providers/google/cloud/operators/test_video_intelligence.py
index fc97c5ecdad3d..1688f7a4149d9 100644
--- a/tests/providers/google/cloud/operators/test_video_intelligence.py
+++ b/tests/providers/google/cloud/operators/test_video_intelligence.py
@@ -20,8 +20,7 @@
 from unittest import mock
 
 from google.api_core.gapic_v1.method import DEFAULT
-from google.cloud.videointelligence_v1 import enums
-from google.cloud.videointelligence_v1.proto.video_intelligence_pb2 import AnnotateVideoResponse
+from google.cloud.videointelligence_v1 import AnnotateVideoResponse, Feature
 
 from airflow.providers.google.cloud.operators.video_intelligence import (
     CloudVideoIntelligenceDetectVideoExplicitContentOperator,
@@ -59,7 +58,7 @@ def test_detect_video_labels_green_path(self, mock_hook):
         )
         mock_hook.return_value.annotate_video.assert_called_once_with(
             input_uri=INPUT_URI,
-            features=[enums.Feature.LABEL_DETECTION],
+            features=[Feature.LABEL_DETECTION],
             input_content=None,
             video_context=None,
             location=None,
@@ -86,7 +85,7 @@ def test_detect_video_explicit_content_green_path(self, mock_hook):
         )
         mock_hook.return_value.annotate_video.assert_called_once_with(
             input_uri=INPUT_URI,
-            features=[enums.Feature.EXPLICIT_CONTENT_DETECTION],
+            features=[Feature.EXPLICIT_CONTENT_DETECTION],
             input_content=None,
             video_context=None,
             location=None,
@@ -113,7 +112,7 @@ def test_detect_video_shots_green_path(self, mock_hook):
         )
         mock_hook.return_value.annotate_video.assert_called_once_with(
             input_uri=INPUT_URI,
-            features=[enums.Feature.SHOT_CHANGE_DETECTION],
+            features=[Feature.SHOT_CHANGE_DETECTION],
             input_content=None,
             video_context=None,
             location=None,
diff --git a/tests/providers/google/cloud/operators/test_vision.py b/tests/providers/google/cloud/operators/test_vision.py
index 7a9ee186a7d81..38eb74facad0e 100644
--- a/tests/providers/google/cloud/operators/test_vision.py
+++ b/tests/providers/google/cloud/operators/test_vision.py
@@ -21,7 +21,7 @@
 
 from google.api_core.exceptions import AlreadyExists
 from google.api_core.gapic_v1.method import DEFAULT
-from google.cloud.vision_v1.types import Product, ProductSet, ReferenceImage
+from google.cloud.vision_v1 import Product, ProductSet, ReferenceImage
 
 from airflow.providers.google.cloud.operators.vision import (
     CloudVisionAddProductToProductSetOperator,
diff --git a/tests/providers/google/cloud/operators/test_workflows.py b/tests/providers/google/cloud/operators/test_workflows.py
index 33f16ea0a6a33..ad202fa5929d4 100644
--- a/tests/providers/google/cloud/operators/test_workflows.py
+++ b/tests/providers/google/cloud/operators/test_workflows.py
@@ -20,6 +20,7 @@
 from unittest import mock
 
 import pytz
+from google.protobuf.timestamp_pb2 import Timestamp
 
 from airflow.providers.google.cloud.operators.workflows import (
     WorkflowsCancelExecutionOperator,
@@ -169,8 +170,10 @@ class TestWorkflowsListWorkflowsOperator:
     @mock.patch(BASE_PATH.format("Workflow"))
     @mock.patch(BASE_PATH.format("WorkflowsHook"))
     def test_execute(self, mock_hook, mock_object):
+        timestamp = Timestamp()
+        timestamp.FromDatetime(datetime.datetime.now(tz=pytz.UTC) + datetime.timedelta(minutes=5))
         workflow_mock = mock.MagicMock()
-        workflow_mock.start_time = datetime.datetime.now(tz=pytz.UTC) + datetime.timedelta(minutes=5)
+        workflow_mock.start_time = timestamp
         mock_hook.return_value.list_workflows.return_value = [workflow_mock]
 
         op = WorkflowsListWorkflowsOperator(
@@ -330,8 +333,10 @@ class TestWorkflowExecutionsListExecutionsOperator:
     @mock.patch(BASE_PATH.format("Execution"))
     @mock.patch(BASE_PATH.format("WorkflowsHook"))
     def test_execute(self, mock_hook, mock_object):
+        timestamp = Timestamp()
+        timestamp.FromDatetime(datetime.datetime.now(tz=pytz.UTC) + datetime.timedelta(minutes=5))
         execution_mock = mock.MagicMock()
-        execution_mock.start_time = datetime.datetime.now(tz=pytz.UTC) + datetime.timedelta(minutes=5)
+        execution_mock.start_time = timestamp
         mock_hook.return_value.list_executions.return_value = [execution_mock]
 
         op = WorkflowsListExecutionsOperator(
diff --git a/tests/providers/google/cloud/triggers/test_cloud_build.py b/tests/providers/google/cloud/triggers/test_cloud_build.py
index 8687263f8e65e..f8191d032345a 100644
--- a/tests/providers/google/cloud/triggers/test_cloud_build.py
+++ b/tests/providers/google/cloud/triggers/test_cloud_build.py
@@ -61,6 +61,9 @@
             "volumes": [],
             "status": 0,
             "script": "",
+            "allow_failure": False,
+            "exit_code": 0,
+            "allow_exit_codes": [],
         }
     ],
     name="",
diff --git a/tests/system/providers/google/cloud/automl/example_automl_dataset.py b/tests/system/providers/google/cloud/automl/example_automl_dataset.py
index 909da1593a404..e3c5abf67122a 100644
--- a/tests/system/providers/google/cloud/automl/example_automl_dataset.py
+++ b/tests/system/providers/google/cloud/automl/example_automl_dataset.py
@@ -52,7 +52,7 @@
 DATA_SAMPLE_GCS_BUCKET_NAME = f"bucket_{DAG_ID}_{ENV_ID}"
 RESOURCE_DATA_BUCKET = "system-tests-resources"
 
-DATASET_NAME = f"ds_{DAG_ID}_{ENV_ID}"
+DATASET_NAME = "test_dataset_tabular"
 DATASET = {
     "display_name": DATASET_NAME,
     "tables_dataset_metadata": {"target_column_spec_id": ""},
@@ -164,7 +164,7 @@ def get_target_column_spec(columns_specs: list[dict], column_name: str) -> str:
     # [START howto_operator_delete_dataset]
     delete_dataset = AutoMLDeleteDatasetOperator(
         task_id="delete_dataset",
-        dataset_id="{{ task_instance.xcom_pull('list_datasets_task', key='dataset_id_list') | list }}",
+        dataset_id=dataset_id,
         location=GCP_AUTOML_LOCATION,
         project_id=GCP_PROJECT_ID,
     )
diff --git a/tests/system/providers/google/cloud/automl/example_automl_model.py b/tests/system/providers/google/cloud/automl/example_automl_model.py
index f08b46b0249e6..5e7560a022698 100644
--- a/tests/system/providers/google/cloud/automl/example_automl_model.py
+++ b/tests/system/providers/google/cloud/automl/example_automl_model.py
@@ -51,7 +51,7 @@
 from airflow.utils.trigger_rule import TriggerRule
 
 ENV_ID = os.environ.get("SYSTEM_TESTS_ENV_ID")
-DAG_ID = "automl_model"
+DAG_ID = "example_automl_model"
 GCP_PROJECT_ID = os.environ.get("SYSTEM_TESTS_GCP_PROJECT", "default")
 
 GCP_AUTOML_LOCATION = "us-central1"
@@ -59,18 +59,18 @@
 DATA_SAMPLE_GCS_BUCKET_NAME = f"bucket_{DAG_ID}_{ENV_ID}"
 RESOURCE_DATA_BUCKET = "system-tests-resources"
 
-DATASET_NAME = f"dataset_{DAG_ID}_{ENV_ID}"
+DATASET_NAME = "test_dataset_model"
 DATASET = {
     "display_name": DATASET_NAME,
     "tables_dataset_metadata": {"target_column_spec_id": ""},
 }
-AUTOML_DATASET_BUCKET = f"gs://{DATA_SAMPLE_GCS_BUCKET_NAME}/automl/bank-marketing.csv"
+AUTOML_DATASET_BUCKET = f"gs://{DATA_SAMPLE_GCS_BUCKET_NAME}/automl-model/bank-marketing.csv"
 IMPORT_INPUT_CONFIG = {"gcs_source": {"input_uris": [AUTOML_DATASET_BUCKET]}}
 IMPORT_OUTPUT_CONFIG = {
-    "gcs_destination": {"output_uri_prefix": f"gs://{DATA_SAMPLE_GCS_BUCKET_NAME}/automl"}
+    "gcs_destination": {"output_uri_prefix": f"gs://{DATA_SAMPLE_GCS_BUCKET_NAME}/automl-model"}
 }
 
-MODEL_NAME = f"model_{DAG_ID}_{ENV_ID}"
+MODEL_NAME = "test_model"
 MODEL = {
     "display_name": MODEL_NAME,
     "tables_model_metadata": {"train_budget_milli_node_hours": 1000},
@@ -130,9 +130,9 @@ def get_target_column_spec(columns_specs: list[dict], column_name: str) -> str:
     move_dataset_file = GCSSynchronizeBucketsOperator(
         task_id="move_data_to_bucket",
         source_bucket=RESOURCE_DATA_BUCKET,
-        source_object="automl",
+        source_object="automl-model",
         destination_bucket=DATA_SAMPLE_GCS_BUCKET_NAME,
-        destination_object="automl",
+        destination_object="automl-model",
         recursive=True,
     )
 
@@ -255,7 +255,9 @@ def get_target_column_spec(columns_specs: list[dict], column_name: str) -> str:
 
     (
         # TEST SETUP
-        [create_bucket >> move_dataset_file, create_dataset]
+        create_bucket
+        >> move_dataset_file
+        >> create_dataset
         >> import_dataset
         >> list_tables_spec
         >> list_columns_spec
diff --git a/tests/system/providers/google/cloud/automl/example_automl_nl_text_extraction.py b/tests/system/providers/google/cloud/automl/example_automl_nl_text_extraction.py
index 95dd549d8cef4..fd6a4fd6a76b2 100644
--- a/tests/system/providers/google/cloud/automl/example_automl_nl_text_extraction.py
+++ b/tests/system/providers/google/cloud/automl/example_automl_nl_text_extraction.py
@@ -34,32 +34,33 @@
     AutoMLImportDataOperator,
     AutoMLTrainModelOperator,
 )
+from airflow.providers.google.cloud.operators.gcs import (
+    GCSCreateBucketOperator,
+    GCSDeleteBucketOperator,
+    GCSSynchronizeBucketsOperator,
+)
 from airflow.utils.trigger_rule import TriggerRule
 
 ENV_ID = os.environ.get("SYSTEM_TESTS_ENV_ID")
 DAG_ID = "example_automl_text"
+GCP_PROJECT_ID = os.environ.get("SYSTEM_TESTS_GCP_PROJECT", "default")
 
-GCP_PROJECT_ID = os.environ.get("GCP_PROJECT_ID", "your-project-id")
-GCP_AUTOML_LOCATION = os.environ.get("GCP_AUTOML_LOCATION", "us-central1")
-GCP_AUTOML_TEXT_BUCKET = os.environ.get(
-    "GCP_AUTOML_TEXT_BUCKET", "gs://INVALID BUCKET NAME/NL-entity/dataset.csv"
-)
+GCP_AUTOML_LOCATION = "us-central1"
 
-# Example values
-DATASET_ID = ""
+DATA_SAMPLE_GCS_BUCKET_NAME = f"bucket_{DAG_ID}_{ENV_ID}"
+RESOURCE_DATA_BUCKET = "system-tests-resources"
 
-# Example model
+DATASET_NAME = "test_entity_extr"
+DATASET = {"display_name": DATASET_NAME, "text_extraction_dataset_metadata": {}}
+AUTOML_DATASET_BUCKET = f"gs://{DATA_SAMPLE_GCS_BUCKET_NAME}/automl-text/dataset.csv"
+IMPORT_INPUT_CONFIG = {"gcs_source": {"input_uris": [AUTOML_DATASET_BUCKET]}}
+
+MODEL_NAME = "entity_extr_test_model"
 MODEL = {
-    "display_name": "auto_model_1",
-    "dataset_id": DATASET_ID,
+    "display_name": MODEL_NAME,
     "text_extraction_model_metadata": {},
 }
 
-# Example dataset
-DATASET = {"display_name": "test_text_dataset", "text_extraction_dataset_metadata": {}}
-
-IMPORT_INPUT_CONFIG = {"gcs_source": {"input_uris": [GCP_AUTOML_TEXT_BUCKET]}}
-
 extract_object_id = CloudAutoMLHook.extract_object_id
 
 # Example DAG for AutoML Natural Language Entities Extraction
@@ -71,23 +72,46 @@
     user_defined_macros={"extract_object_id": extract_object_id},
     tags=["example", "automl"],
 ) as dag:
+    create_bucket = GCSCreateBucketOperator(
+        task_id="create_bucket",
+        bucket_name=DATA_SAMPLE_GCS_BUCKET_NAME,
+        storage_class="REGIONAL",
+        location=GCP_AUTOML_LOCATION,
+    )
+
+    move_dataset_file = GCSSynchronizeBucketsOperator(
+        task_id="move_data_to_bucket",
+        source_bucket=RESOURCE_DATA_BUCKET,
+        source_object="automl-text",
+        destination_bucket=DATA_SAMPLE_GCS_BUCKET_NAME,
+        destination_object="automl-text",
+        recursive=True,
+    )
+
     create_dataset_task = AutoMLCreateDatasetOperator(
-        task_id="create_dataset_task", dataset=DATASET, location=GCP_AUTOML_LOCATION
+        task_id="create_dataset_task",
+        dataset=DATASET,
+        location=GCP_AUTOML_LOCATION,
+        project_id=GCP_PROJECT_ID,
     )
 
     dataset_id = cast(str, XComArg(create_dataset_task, key="dataset_id"))
-
+    MODEL["dataset_id"] = dataset_id
     import_dataset_task = AutoMLImportDataOperator(
         task_id="import_dataset_task",
         dataset_id=dataset_id,
         location=GCP_AUTOML_LOCATION,
         input_config=IMPORT_INPUT_CONFIG,
+        project_id=GCP_PROJECT_ID,
     )
-
     MODEL["dataset_id"] = dataset_id
 
-    create_model = AutoMLTrainModelOperator(task_id="create_model", model=MODEL, location=GCP_AUTOML_LOCATION)
-
+    create_model = AutoMLTrainModelOperator(
+        task_id="create_model",
+        model=MODEL,
+        location=GCP_AUTOML_LOCATION,
+        project_id=GCP_PROJECT_ID,
+    )
     model_id = cast(str, XComArg(create_model, key="model_id"))
 
     delete_model_task = AutoMLDeleteModelOperator(
@@ -105,15 +129,24 @@
         trigger_rule=TriggerRule.ALL_DONE,
     )
 
+    delete_bucket = GCSDeleteBucketOperator(
+        task_id="delete_bucket",
+        bucket_name=DATA_SAMPLE_GCS_BUCKET_NAME,
+        trigger_rule=TriggerRule.ALL_DONE,
+    )
+
     (
         # TEST SETUP
-        create_dataset_task
-        # TEST BODY
+        create_bucket
+        >> move_dataset_file
+        >> create_dataset_task
         >> import_dataset_task
+        # TEST BODY
         >> create_model
-        >> delete_model_task
         # TEST TEARDOWN
+        >> delete_model_task
         >> delete_datasets_task
+        >> delete_bucket
     )
 
     from tests.system.utils.watcher import watcher
diff --git a/tests/system/providers/google/cloud/automl/example_automl_vision_classification.py b/tests/system/providers/google/cloud/automl/example_automl_vision_classification.py
index cd27eed40b699..5d6ea7b932c52 100644
--- a/tests/system/providers/google/cloud/automl/example_automl_vision_classification.py
+++ b/tests/system/providers/google/cloud/automl/example_automl_vision_classification.py
@@ -34,32 +34,35 @@
     AutoMLImportDataOperator,
     AutoMLTrainModelOperator,
 )
+from airflow.providers.google.cloud.operators.gcs import (
+    GCSCreateBucketOperator,
+    GCSDeleteBucketOperator,
+    GCSSynchronizeBucketsOperator,
+)
 from airflow.utils.trigger_rule import TriggerRule
 
 ENV_ID = os.environ.get("SYSTEM_TESTS_ENV_ID")
 DAG_ID = "example_automl_vision"
+GCP_PROJECT_ID = os.environ.get("SYSTEM_TESTS_GCP_PROJECT", "default")
 
-GCP_PROJECT_ID = os.environ.get("GCP_PROJECT_ID", "your-project-id")
-GCP_AUTOML_LOCATION = os.environ.get("GCP_AUTOML_LOCATION", "us-central1")
-GCP_AUTOML_VISION_BUCKET = os.environ.get("GCP_AUTOML_VISION_BUCKET", "gs://INVALID BUCKET NAME")
-
-# Example values
-DATASET_ID = "ICN123455678"
+GCP_AUTOML_LOCATION = "us-central1"
 
-# Example model
-MODEL = {
-    "display_name": "auto_model_2",
-    "dataset_id": DATASET_ID,
-    "image_classification_model_metadata": {"train_budget": 1},
-}
+DATA_SAMPLE_GCS_BUCKET_NAME = f"bucket_{DAG_ID}_{ENV_ID}"
+RESOURCE_DATA_BUCKET = "system-tests-resources"
 
-# Example dataset
+DATASET_NAME = "test_dataset_vision"
 DATASET = {
-    "display_name": "test_vision_dataset",
+    "display_name": DATASET_NAME,
     "image_classification_dataset_metadata": {"classification_type": "MULTILABEL"},
 }
+AUTOML_DATASET_BUCKET = f"gs://{DATA_SAMPLE_GCS_BUCKET_NAME}/automl-vision/data.csv"
+IMPORT_INPUT_CONFIG = {"gcs_source": {"input_uris": [AUTOML_DATASET_BUCKET]}}
 
-IMPORT_INPUT_CONFIG = {"gcs_source": {"input_uris": [GCP_AUTOML_VISION_BUCKET]}}
+MODEL_NAME = "test_model"
+MODEL = {
+    "display_name": MODEL_NAME,
+    "image_classification_model_metadata": {"train_budget": 1},
+}
 
 extract_object_id = CloudAutoMLHook.extract_object_id
 
@@ -72,12 +75,29 @@
     user_defined_macros={"extract_object_id": extract_object_id},
     tags=["example", "automl"],
 ) as dag:
+    create_bucket = GCSCreateBucketOperator(
+        task_id="create_bucket",
+        bucket_name=DATA_SAMPLE_GCS_BUCKET_NAME,
+        storage_class="REGIONAL",
+        location=GCP_AUTOML_LOCATION,
+    )
+
+    move_dataset_file = GCSSynchronizeBucketsOperator(
+        task_id="move_data_to_bucket",
+        source_bucket=RESOURCE_DATA_BUCKET,
+        source_object="automl-vision",
+        destination_bucket=DATA_SAMPLE_GCS_BUCKET_NAME,
+        destination_object="automl-vision",
+        recursive=True,
+    )
+
     create_dataset_task = AutoMLCreateDatasetOperator(
-        task_id="create_dataset_task", dataset=DATASET, location=GCP_AUTOML_LOCATION
+        task_id="create_dataset_task",
+        dataset=DATASET,
+        location=GCP_AUTOML_LOCATION,
     )
 
     dataset_id = cast(str, XComArg(create_dataset_task, key="dataset_id"))
-
     import_dataset_task = AutoMLImportDataOperator(
         task_id="import_dataset_task",
         dataset_id=dataset_id,
@@ -88,7 +108,6 @@
     MODEL["dataset_id"] = dataset_id
 
     create_model = AutoMLTrainModelOperator(task_id="create_model", model=MODEL, location=GCP_AUTOML_LOCATION)
-
     model_id = cast(str, XComArg(create_model, key="model_id"))
 
     delete_model_task = AutoMLDeleteModelOperator(
@@ -107,15 +126,24 @@
         trigger_rule=TriggerRule.ALL_DONE,
     )
 
+    delete_bucket = GCSDeleteBucketOperator(
+        task_id="delete_bucket",
+        bucket_name=DATA_SAMPLE_GCS_BUCKET_NAME,
+        trigger_rule=TriggerRule.ALL_DONE,
+    )
+
     (
         # TEST SETUP
-        create_dataset_task
+        create_bucket
+        >> move_dataset_file
+        >> create_dataset_task
         >> import_dataset_task
         # TEST BODY
         >> create_model
         # TEST TEARDOWN
         >> delete_model_task
         >> delete_datasets_task
+        >> delete_bucket
     )
 
     from tests.system.utils.watcher import watcher
diff --git a/tests/system/providers/google/cloud/bigquery/example_bigquery_queries.py b/tests/system/providers/google/cloud/bigquery/example_bigquery_queries.py
index d5c3f449fd4aa..3ce1bc2801a77 100644
--- a/tests/system/providers/google/cloud/bigquery/example_bigquery_queries.py
+++ b/tests/system/providers/google/cloud/bigquery/example_bigquery_queries.py
@@ -242,6 +242,7 @@
         execute_insert_query >> get_data >> get_data_result >> delete_dataset
         execute_insert_query >> execute_query_save >> bigquery_execute_multi_query >> delete_dataset
         execute_insert_query >> [check_count, check_value, check_interval] >> delete_dataset
+        execute_insert_query >> [column_check, table_check] >> delete_dataset
 
         from tests.system.utils.watcher import watcher
 
diff --git a/tests/system/providers/google/cloud/bigquery/example_bigquery_queries_async.py b/tests/system/providers/google/cloud/bigquery/example_bigquery_queries_async.py
index 334c2b4026dd3..38828dcb04b7f 100644
--- a/tests/system/providers/google/cloud/bigquery/example_bigquery_queries_async.py
+++ b/tests/system/providers/google/cloud/bigquery/example_bigquery_queries_async.py
@@ -147,7 +147,7 @@
         task_id="select_query_job",
         configuration={
             "query": {
-                "query": "{% include 'example_bigquery_query.sql' %}",
+                "query": "{% include 'resources/example_bigquery_query.sql' %}",
                 "useLegacySql": False,
             }
         },
diff --git a/tests/system/providers/google/cloud/cloud_sql/example_cloud_sql.py b/tests/system/providers/google/cloud/cloud_sql/example_cloud_sql.py
index 33a999b823415..c0d4e277d4ba4 100644
--- a/tests/system/providers/google/cloud/cloud_sql/example_cloud_sql.py
+++ b/tests/system/providers/google/cloud/cloud_sql/example_cloud_sql.py
@@ -19,11 +19,6 @@
 Example Airflow DAG that creates, patches and deletes a Cloud SQL instance, and also
 creates, patches and deletes a database inside the instance, in Google Cloud.
 
-This DAG relies on the following OS environment variables
-https://airflow.apache.org/concepts.html#variables
-* GCP_PROJECT_ID - Google Cloud project for the Cloud SQL instance.
-* INSTANCE_NAME - Name of the Cloud SQL instance.
-* DB_NAME - Name of the database inside a Cloud SQL instance.
 """
 from __future__ import annotations
 
diff --git a/tests/system/providers/google/cloud/composer/example_cloud_composer.py b/tests/system/providers/google/cloud/composer/example_cloud_composer.py
index 8ffa8774d42c6..a6de4bc26be55 100644
--- a/tests/system/providers/google/cloud/composer/example_cloud_composer.py
+++ b/tests/system/providers/google/cloud/composer/example_cloud_composer.py
@@ -41,7 +41,7 @@
 
 # [START howto_operator_composer_simple_environment]
 
-ENVIRONMENT_ID = f"test-{DAG_ID}-{ENV_ID}"
+ENVIRONMENT_ID = f"test-{DAG_ID}-{ENV_ID}".replace("_", "-")
 
 ENVIRONMENT = {
     "config": {
diff --git a/tests/system/providers/google/cloud/composer/example_cloud_composer_deferrable.py b/tests/system/providers/google/cloud/composer/example_cloud_composer_deferrable.py
index c7cfd2a090ad2..7ccafe98e997e 100644
--- a/tests/system/providers/google/cloud/composer/example_cloud_composer_deferrable.py
+++ b/tests/system/providers/google/cloud/composer/example_cloud_composer_deferrable.py
@@ -37,7 +37,7 @@
 
 REGION = "us-central1"
 
-ENVIRONMENT_ID = f"test-{DAG_ID}-{ENV_ID}"
+ENVIRONMENT_ID = f"test-{DAG_ID}-{ENV_ID}".replace("_", "-")
 # [START howto_operator_composer_simple_environment]
 ENVIRONMENT = {
     "config": {
diff --git a/tests/system/providers/google/cloud/compute/example_compute.py b/tests/system/providers/google/cloud/compute/example_compute.py
index 59c7e63a2f90d..d5fbf347c09be 100644
--- a/tests/system/providers/google/cloud/compute/example_compute.py
+++ b/tests/system/providers/google/cloud/compute/example_compute.py
@@ -29,7 +29,6 @@
 
 from airflow import models
 from airflow.models.baseoperator import chain
-from airflow.operators.bash import BashOperator
 from airflow.providers.google.cloud.operators.compute import (
     ComputeEngineDeleteInstanceOperator,
     ComputeEngineDeleteInstanceTemplateOperator,
@@ -49,7 +48,7 @@
 
 LOCATION = "europe-west1-b"
 REGION = "europe-west1"
-GCE_INSTANCE_NAME = "instance-1"
+GCE_INSTANCE_NAME = "instance-compute-test"
 SHORT_MACHINE_TYPE_NAME = "n1-standard-1"
 TEMPLATE_NAME = "instance-template"
 
@@ -244,20 +243,12 @@
     # [END howto_operator_gce_delete_new_template_no_project_id]
     gce_instance_template_delete.trigger_rule = TriggerRule.ALL_DONE
 
-    bash_wait_operator = BashOperator(task_id="delay_bash_task", bash_command="sleep 3m")
-
-    bash_wait_operator2 = BashOperator(task_id="delay_bash_task2", bash_command="sleep 3m")
-
-    bash_wait_operator3 = BashOperator(task_id="delay_bash_task3", bash_command="sleep 3m")
-
     chain(
         gce_instance_insert,
         gce_instance_insert2,
-        bash_wait_operator,
         gce_instance_delete,
         gce_instance_template_insert,
         gce_instance_template_insert2,
-        bash_wait_operator2,
         gce_instance_insert_from_template,
         gce_instance_insert_from_template2,
         gce_instance_start,
@@ -268,7 +259,6 @@
         gce_set_machine_type2,
         gce_instance_delete2,
         gce_instance_template_delete,
-        bash_wait_operator3,
     )
 
     # ### Everything below this line is not part of example ###
diff --git a/tests/system/providers/google/cloud/compute/example_compute_igm.py b/tests/system/providers/google/cloud/compute/example_compute_igm.py
index 54dc4e3711884..13ada15044b9f 100644
--- a/tests/system/providers/google/cloud/compute/example_compute_igm.py
+++ b/tests/system/providers/google/cloud/compute/example_compute_igm.py
@@ -29,7 +29,6 @@
 
 from airflow import models
 from airflow.models.baseoperator import chain
-from airflow.operators.bash import BashOperator
 from airflow.providers.google.cloud.operators.compute import (
     ComputeEngineCopyInstanceTemplateOperator,
     ComputeEngineDeleteInstanceGroupManagerOperator,
@@ -168,8 +167,6 @@
     )
     # [END howto_operator_gce_insert_igm_no_project_id]
 
-    bash_wait_operator = BashOperator(task_id="delay_bash_task", bash_command="sleep 3m")
-
     # [START howto_operator_gce_igm_update_template]
     gce_instance_group_manager_update_template = ComputeEngineInstanceGroupUpdateManagerTemplateOperator(
         task_id="gcp_compute_igm_group_manager_update_template",
@@ -193,8 +190,6 @@
     )
     # [END howto_operator_gce_igm_update_template_no_project_id]
 
-    bash_wait_operator1 = BashOperator(task_id="delay_bash_task_1", bash_command="sleep 3m")
-
     # [START howto_operator_gce_delete_old_template_no_project_id]
     gce_instance_template_old_delete = ComputeEngineDeleteInstanceTemplateOperator(
         task_id="gcp_compute_delete_old_template_task",
@@ -220,8 +215,6 @@
     # [END howto_operator_gce_delete_igm_no_project_id]
     gce_igm_delete.trigger_rule = TriggerRule.ALL_DONE
 
-    bash_wait_operator2 = BashOperator(task_id="delay_bash_task_2", bash_command="sleep 3m")
-
     chain(
         gce_instance_template_insert,
         gce_instance_template_insert2,
@@ -229,14 +222,11 @@
         gce_instance_template_copy2,
         gce_igm_insert,
         gce_igm_insert2,
-        bash_wait_operator,
         gce_instance_group_manager_update_template,
         gce_instance_group_manager_update_template2,
-        bash_wait_operator1,
         gce_igm_delete,
         gce_instance_template_old_delete,
         gce_instance_template_new_delete,
-        bash_wait_operator2,
     )
 
     # ### Everything below this line is not part of example ###
diff --git a/tests/system/providers/google/cloud/compute/example_compute_ssh.py b/tests/system/providers/google/cloud/compute/example_compute_ssh.py
index 48107d8ae0f42..40129972f54b0 100644
--- a/tests/system/providers/google/cloud/compute/example_compute_ssh.py
+++ b/tests/system/providers/google/cloud/compute/example_compute_ssh.py
@@ -43,7 +43,7 @@
 DAG_ID = "cloud_compute_ssh"
 LOCATION = "europe-west1-b"
 REGION = "europe-west1"
-GCE_INSTANCE_NAME = "instance-1"
+GCE_INSTANCE_NAME = "instance-ssh-test"
 SHORT_MACHINE_TYPE_NAME = "n1-standard-1"
 GCE_INSTANCE_BODY = {
     "name": GCE_INSTANCE_NAME,
@@ -85,19 +85,36 @@
     )
     # [END howto_operator_gce_insert]
 
-    # [START howto_execute_command_on_remote]
-    metadata_without_iap_tunnel = SSHOperator(
-        task_id="metadata_without_iap_tunnel",
+    # [START howto_execute_command_on_remote_1]
+    metadata_without_iap_tunnel1 = SSHOperator(
+        task_id="metadata_without_iap_tunnel1",
         ssh_hook=ComputeEngineSSHHook(
             user="username",
             instance_name=GCE_INSTANCE_NAME,
             zone=LOCATION,
+            project_id=PROJECT_ID,
             use_oslogin=False,
             use_iap_tunnel=False,
+            cmd_timeout=100,
         ),
-        command="echo metadata_without_iap_tunnel",
+        command="echo metadata_without_iap_tunnel1",
     )
-    # [END howto_execute_command_on_remote]
+    # [END howto_execute_command_on_remote_1]
+
+    # [START howto_execute_command_on_remote_2]
+    metadata_without_iap_tunnel2 = SSHOperator(
+        task_id="metadata_without_iap_tunnel2",
+        ssh_hook=ComputeEngineSSHHook(
+            user="username",
+            instance_name=GCE_INSTANCE_NAME,
+            zone=LOCATION,
+            use_oslogin=False,
+            use_iap_tunnel=False,
+            cmd_timeout=100,
+        ),
+        command="echo metadata_without_iap_tunnel2",
+    )
+    # [END howto_execute_command_on_remote_2]
 
     # [START howto_operator_gce_delete_no_project_id]
     gce_instance_delete = ComputeEngineDeleteInstanceOperator(
@@ -110,7 +127,8 @@
 
     chain(
         gce_instance_insert,
-        metadata_without_iap_tunnel,
+        metadata_without_iap_tunnel1,
+        metadata_without_iap_tunnel2,
         gce_instance_delete,
     )
 
diff --git a/tests/system/providers/google/cloud/dataflow/example_dataflow_go.py b/tests/system/providers/google/cloud/dataflow/example_dataflow_go.py
new file mode 100644
index 0000000000000..548a6902b7197
--- /dev/null
+++ b/tests/system/providers/google/cloud/dataflow/example_dataflow_go.py
@@ -0,0 +1,154 @@
+#
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor license agreements.  See the NOTICE file
+# distributed with this work for additional information
+# regarding copyright ownership.  The ASF licenses this file
+# to you under the Apache License, Version 2.0 (the
+# "License"); you may not use this file except in compliance
+# with the License.  You may obtain a copy of the License at
+#
+#   http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing,
+# software distributed under the License is distributed on an
+# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+# KIND, either express or implied.  See the License for the
+# specific language governing permissions and limitations
+# under the License.
+"""
+Example Airflow DAG for Apache Beam operators
+
+Requirements:
+    This test requires the gcloud and go commands to run.
+"""
+from __future__ import annotations
+
+import os
+from datetime import datetime
+from pathlib import Path
+
+from airflow import models
+from airflow.providers.apache.beam.hooks.beam import BeamRunnerType
+from airflow.providers.apache.beam.operators.beam import BeamRunGoPipelineOperator
+from airflow.providers.google.cloud.hooks.dataflow import DataflowJobStatus
+from airflow.providers.google.cloud.operators.dataflow import DataflowConfiguration
+from airflow.providers.google.cloud.operators.gcs import GCSCreateBucketOperator, GCSDeleteBucketOperator
+from airflow.providers.google.cloud.sensors.dataflow import (
+    DataflowJobAutoScalingEventsSensor,
+    DataflowJobMessagesSensor,
+    DataflowJobStatusSensor,
+)
+from airflow.providers.google.cloud.transfers.local_to_gcs import LocalFilesystemToGCSOperator
+from airflow.utils.trigger_rule import TriggerRule
+
+ENV_ID = os.environ.get("SYSTEM_TESTS_ENV_ID")
+DAG_ID = "dataflow_native_go_async"
+BUCKET_NAME = f"bucket_{DAG_ID}_{ENV_ID}"
+
+GCS_TMP = f"gs://{BUCKET_NAME}/temp/"
+GCS_STAGING = f"gs://{BUCKET_NAME}/staging/"
+GCS_OUTPUT = f"gs://{BUCKET_NAME}/output"
+
+GO_FILE_NAME = "wordcount.go"
+GO_FILE_LOCAL_PATH = str(Path(__file__).parent / "resources" / GO_FILE_NAME)
+GCS_GO = f"gs://{BUCKET_NAME}/{GO_FILE_NAME}"
+LOCATION = "europe-west3"
+
+default_args = {
+    "dataflow_default_options": {
+        "tempLocation": GCS_TMP,
+        "stagingLocation": GCS_STAGING,
+    }
+}
+
+with models.DAG(
+    "example_beam_native_go",
+    start_date=datetime(2021, 1, 1),
+    schedule="@once",
+    catchup=False,
+    default_args=default_args,
+    tags=["example"],
+) as dag:
+    create_bucket = GCSCreateBucketOperator(task_id="create_bucket", bucket_name=BUCKET_NAME)
+
+    upload_file = LocalFilesystemToGCSOperator(
+        task_id="upload_file_to_bucket",
+        src=GO_FILE_LOCAL_PATH,
+        dst=GO_FILE_NAME,
+        bucket=BUCKET_NAME,
+    )
+
+    start_go_pipeline_dataflow_runner = BeamRunGoPipelineOperator(
+        task_id="start_go_pipeline_dataflow_runner",
+        runner=BeamRunnerType.DataflowRunner,
+        go_file=GCS_GO,
+        pipeline_options={
+            "tempLocation": GCS_TMP,
+            "stagingLocation": GCS_STAGING,
+            "output": GCS_OUTPUT,
+            "WorkerHarnessContainerImage": "apache/beam_go_sdk:2.46.0",
+        },
+        dataflow_config=DataflowConfiguration(job_name="start_go_job", location=LOCATION),
+    )
+
+    wait_for_go_job_async_done = DataflowJobStatusSensor(
+        task_id="wait_for_go_job_async_done",
+        job_id="{{task_instance.xcom_pull('start_go_pipeline_dataflow_runner')['dataflow_job_id']}}",
+        expected_statuses={DataflowJobStatus.JOB_STATE_DONE},
+        location=LOCATION,
+    )
+
+    def check_message(messages: list[dict]) -> bool:
+        """Check message"""
+        for message in messages:
+            if "Adding workflow start and stop steps." in message.get("messageText", ""):
+                return True
+        return False
+
+    wait_for_go_job_async_message = DataflowJobMessagesSensor(
+        task_id="wait_for_go_job_async_message",
+        job_id="{{task_instance.xcom_pull('start_go_pipeline_dataflow_runner')['dataflow_job_id']}}",
+        location=LOCATION,
+        callback=check_message,
+        fail_on_terminal_state=False,
+    )
+
+    def check_autoscaling_event(autoscaling_events: list[dict]) -> bool:
+        """Check autoscaling event"""
+        for autoscaling_event in autoscaling_events:
+            if "Worker pool started." in autoscaling_event.get("description", {}).get("messageText", ""):
+                return True
+        return False
+
+    wait_for_go_job_async_autoscaling_event = DataflowJobAutoScalingEventsSensor(
+        task_id="wait_for_go_job_async_autoscaling_event",
+        job_id="{{task_instance.xcom_pull('start_go_pipeline_dataflow_runner')['dataflow_job_id']}}",
+        location=LOCATION,
+        callback=check_autoscaling_event,
+        fail_on_terminal_state=False,
+    )
+
+    delete_bucket = GCSDeleteBucketOperator(
+        task_id="delete_bucket", bucket_name=BUCKET_NAME, trigger_rule=TriggerRule.ALL_DONE
+    )
+
+    (
+        # TEST SETUP
+        create_bucket
+        >> upload_file
+        # TEST BODY
+        >> start_go_pipeline_dataflow_runner
+        >> [
+            wait_for_go_job_async_done,
+            wait_for_go_job_async_message,
+            wait_for_go_job_async_autoscaling_event,
+        ]
+        # TEST TEARDOWN
+        >> delete_bucket
+    )
+
+
+from tests.system.utils import get_test_run  # noqa: E402
+
+# Needed to run the example DAG with pytest (see: tests/system/README.md#run_via_pytest)
+test_run = get_test_run(dag)
diff --git a/tests/system/providers/google/cloud/dataflow/example_dataflow_native_java.py b/tests/system/providers/google/cloud/dataflow/example_dataflow_native_java.py
index 41065519146e9..e3dbe69217090 100644
--- a/tests/system/providers/google/cloud/dataflow/example_dataflow_native_java.py
+++ b/tests/system/providers/google/cloud/dataflow/example_dataflow_native_java.py
@@ -24,6 +24,12 @@
     or is not compatible with the Java version used in the test, the source code for this test can be
     downloaded from here (https://beam.apache.org/get-started/wordcount-example) and needs to be compiled
     manually in order to work.
+
+    You can follow the instructions on how to pack a self-executing jar here:
+    https://beam.apache.org/documentation/runners/dataflow/
+
+Requirements:
+    These operators require the gcloud command and Java's JRE to run.
 """
 from __future__ import annotations
 
@@ -31,6 +37,7 @@
 from datetime import datetime
 
 from airflow import models
+from airflow.providers.apache.beam.hooks.beam import BeamRunnerType
 from airflow.providers.apache.beam.operators.beam import BeamRunJavaPipelineOperator
 from airflow.providers.google.cloud.operators.dataflow import CheckJobRunning
 from airflow.providers.google.cloud.operators.gcs import GCSCreateBucketOperator, GCSDeleteBucketOperator
@@ -83,6 +90,7 @@
 
     # [START howto_operator_start_java_job_jar_on_gcs]
     start_java_job = BeamRunJavaPipelineOperator(
+        runner=BeamRunnerType.DataflowRunner,
         task_id="start-java-job",
         jar=GCS_JAR,
         pipeline_options={
diff --git a/tests/system/providers/google/cloud/dataflow/example_dataflow_native_python.py b/tests/system/providers/google/cloud/dataflow/example_dataflow_native_python.py
index c53fde5505a1c..6e80f8664c4a2 100644
--- a/tests/system/providers/google/cloud/dataflow/example_dataflow_native_python.py
+++ b/tests/system/providers/google/cloud/dataflow/example_dataflow_native_python.py
@@ -26,6 +26,7 @@
 from pathlib import Path
 
 from airflow import models
+from airflow.providers.apache.beam.hooks.beam import BeamRunnerType
 from airflow.providers.apache.beam.operators.beam import BeamRunPythonPipelineOperator
 from airflow.providers.google.cloud.operators.gcs import GCSCreateBucketOperator, GCSDeleteBucketOperator
 from airflow.providers.google.cloud.transfers.local_to_gcs import LocalFilesystemToGCSOperator
@@ -70,13 +71,14 @@
 
     # [START howto_operator_start_python_job]
     start_python_job = BeamRunPythonPipelineOperator(
+        runner=BeamRunnerType.DataflowRunner,
         task_id="start_python_job",
         py_file=GCS_PYTHON_SCRIPT,
         py_options=[],
         pipeline_options={
             "output": GCS_OUTPUT,
         },
-        py_requirements=["apache-beam[gcp]==2.36.0"],
+        py_requirements=["apache-beam[gcp]==2.46.0"],
         py_interpreter="python3",
         py_system_site_packages=False,
         dataflow_config={"location": LOCATION},
@@ -90,7 +92,7 @@
         pipeline_options={
             "output": GCS_OUTPUT,
         },
-        py_requirements=["apache-beam[gcp]==2.36.0"],
+        py_requirements=["apache-beam[gcp]==2.46.0"],
         py_interpreter="python3",
         py_system_site_packages=False,
     )
diff --git a/tests/system/providers/google/cloud/dataflow/example_dataflow_native_python_async.py b/tests/system/providers/google/cloud/dataflow/example_dataflow_native_python_async.py
index 8b8ce5b6477d4..9d03e851a3cdc 100644
--- a/tests/system/providers/google/cloud/dataflow/example_dataflow_native_python_async.py
+++ b/tests/system/providers/google/cloud/dataflow/example_dataflow_native_python_async.py
@@ -87,7 +87,7 @@
         pipeline_options={
             "output": GCS_OUTPUT,
         },
-        py_requirements=["apache-beam[gcp]==2.36.0"],
+        py_requirements=["apache-beam[gcp]==2.46.0"],
         py_interpreter="python3",
         py_system_site_packages=False,
         dataflow_config={
diff --git a/tests/system/providers/google/cloud/dataflow/resources/wordcount.go b/tests/system/providers/google/cloud/dataflow/resources/wordcount.go
new file mode 100644
index 0000000000000..4ad9dcd4f098e
--- /dev/null
+++ b/tests/system/providers/google/cloud/dataflow/resources/wordcount.go
@@ -0,0 +1,230 @@
+// Licensed to the Apache Software Foundation (ASF) under one or more
+// contributor license agreements.  See the NOTICE file distributed with
+// this work for additional information regarding copyright ownership.
+// The ASF licenses this file to You under the Apache License, Version 2.0
+// (the "License"); you may not use this file except in compliance with
+// the License.  You may obtain a copy of the License at
+//
+//    http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+// wordcount is an example that counts words in Shakespeare and demonstrates
+// Beam best practices.
+//
+// This example is the second in a series of four successively more detailed
+// 'word count' examples. You may first want to take a look at
+// minimal_wordcount. After you've looked at this example, see the
+// debugging_wordcount pipeline for introduction of additional concepts.
+//
+// For a detailed walkthrough of this example, see
+//
+//    https://beam.apache.org/get-started/wordcount-example/
+//
+// Basic concepts, also in the minimal_wordcount example: reading text files;
+// counting a PCollection; writing to text files.
+//
+// New concepts:
+//
+//  1. Executing a pipeline both locally and using the selected runner
+//  2. Defining your own pipeline options
+//  3. Using ParDo with static DoFns defined out-of-line
+//  4. Building a composite transform
+//
+// Concept #1: You can execute this pipeline either locally or by
+// selecting another runner. These are now command-line options added by
+// the 'beamx' package and not hard-coded as they were in the minimal_wordcount
+// example. The 'beamx' package also registers all included runners and
+// filesystems as a convenience.
+//
+// To change the runner, specify:
+//
+//    --runner=YOUR_SELECTED_RUNNER
+//
+// To execute this pipeline, specify a local output file (if using the
+// 'direct' runner) or a remote file on a supported distributed file system.
+//
+//    --output=[YOUR_LOCAL_FILE | YOUR_REMOTE_FILE]
+//
+// The input file defaults to a public data set containing the text of King
+// Lear by William Shakespeare. You can override it and choose your own input
+// with --input.
+package main
+
+// beam-playground:
+//   name: WordCount
+//   description: An example that counts words in Shakespeare's works.
+//   multifile: false
+//   pipeline_options: --output output.txt
+//   context_line: 120
+//   categories:
+//     - Combiners
+//     - Options
+//     - Quickstart
+//   complexity: MEDIUM
+//   tags:
+//     - count
+//     - io
+//     - strings
+
+import (
+    "context"
+    "flag"
+    "fmt"
+    "log"
+    "regexp"
+    "strings"
+
+    "github.com/apache/beam/sdks/v2/go/pkg/beam"
+    "github.com/apache/beam/sdks/v2/go/pkg/beam/io/textio"
+    "github.com/apache/beam/sdks/v2/go/pkg/beam/register"
+    "github.com/apache/beam/sdks/v2/go/pkg/beam/transforms/stats"
+    "github.com/apache/beam/sdks/v2/go/pkg/beam/x/beamx"
+)
+
+// Concept #2: Defining your own configuration options. Pipeline options can
+// be standard Go flags, or they can be obtained any other way. Defining and
+// configuring the pipeline is normal Go code.
+var (
+    // By default, this example reads from a public dataset containing the text of
+    // King Lear. Set this option to choose a different input file or glob.
+    input = flag.String("input", "gs://apache-beam-samples/shakespeare/kinglear.txt", "File(s) to read.")
+
+    // Set this required option to specify where to write the output.
+    output = flag.String("output", "", "Output file (required).")
+)
+
+// Concept #3: You can make your pipeline assembly code less verbose by
+// defining your DoFns statically out-of-line. A DoFn can be defined as a Go
+// function and is conventionally suffixed "Fn". Using named function
+// transforms allows for easy reuse, modular testing, and an improved monitoring
+// experience. The argument and return types of a function dictate the pipeline
+// shape when used in a ParDo. For example,
+//
+//    func formatFn(w string, c int) string
+//
+// indicates that the function operates on a PCollection of type KV<string,int>,
+// representing key value pairs of strings and ints, and outputs a PCollection
+// of type string. Beam typechecks the pipeline before running it.
+//
+// DoFns that potentially output zero or multiple elements can also be Go
+// functions, but have a different signature. For example,
+//
+//    func extractFn(w string, emit func(string))
+//
+// uses an "emit" function argument instead of a string return type to allow it
+// to output any number of elements. It operates on a PCollection of type string
+// and returns a PCollection of type string.
+//
+// DoFns must be registered with Beam in order to be executed in ParDos. This is
+// done automatically by the starcgen code generator, or it can be done manually
+// by calling beam.RegisterFunction in an init() call.
+func init() {
+    // register.DoFnXxY registers a struct DoFn so that it can be correctly
+    // serialized and does some optimization to avoid runtime reflection. Since
+    // extractFn has 3 inputs and 0 outputs, we use register.DoFn3x0 and provide
+    // its input types as its constraints (if it had any outputs, we would add
+    // those as constraints as well). Struct DoFns must be registered for a
+    // pipeline to run.
+    register.DoFn3x0[context.Context, string, func(string)](&extractFn{})
+    // register.FunctionXxY registers a functional DoFn to optimize execution at
+    // runtime. formatFn has 2 inputs and 1 output, so we use
+    // register.Function2x1.
+    register.Function2x1(formatFn)
+    // register.EmitterX is optional and will provide some optimization to make
+    // things run faster. Any emitters (functions that produce output for the next
+    // step) should be registered. Here we register all emitters with the
+    // signature func(string).
+    register.Emitter1[string]()
+}
+
+var (
+    wordRE          = regexp.MustCompile(`[a-zA-Z]+('[a-z])?`)
+    empty           = beam.NewCounter("extract", "emptyLines")
+    smallWordLength = flag.Int("small_word_length", 9, "length of small words (default: 9)")
+    smallWords      = beam.NewCounter("extract", "smallWords")
+    lineLen         = beam.NewDistribution("extract", "lineLenDistro")
+)
+
+// extractFn is a structural DoFn that emits the words in a given line and keeps
+// a count for small words. Its ProcessElement function will be invoked on each
+// element in the input PCollection.
+type extractFn struct {
+    SmallWordLength int `json:"smallWordLength"`
+}
+
+func (f *extractFn) ProcessElement(ctx context.Context, line string, emit func(string)) {
+    lineLen.Update(ctx, int64(len(line)))
+    if len(strings.TrimSpace(line)) == 0 {
+        empty.Inc(ctx, 1)
+    }
+    for _, word := range wordRE.FindAllString(line, -1) {
+        // increment the counter for small words if length of words is
+        // less than small_word_length
+        if len(word) < f.SmallWordLength {
+            smallWords.Inc(ctx, 1)
+        }
+        emit(word)
+    }
+}
+
+// formatFn is a functional DoFn that formats a word and its count as a string.
+func formatFn(w string, c int) string {
+    return fmt.Sprintf("%s: %v", w, c)
+}
+
+// Concept #4: A composite PTransform is a Go function that adds
+// transformations to a given pipeline. It is run at construction time and
+// works on PCollections as values. For monitoring purposes, the pipeline
+// allows scoped naming for composite transforms. The difference between a
+// composite transform and a construction helper function is solely in whether
+// a scoped name is used.
+//
+// For example, the CountWords function is a custom composite transform that
+// bundles two transforms (ParDo and Count) as a reusable function.
+
+// CountWords is a composite transform that counts the words of a PCollection
+// of lines. It expects a PCollection of type string and returns a PCollection
+// of type KV<string,int>. The Beam type checker enforces these constraints
+// during pipeline construction.
+func CountWords(s beam.Scope, lines beam.PCollection) beam.PCollection {
+    s = s.Scope("CountWords")
+
+    // Convert lines of text into individual words.
+    col := beam.ParDo(s, &extractFn{SmallWordLength: *smallWordLength}, lines)
+
+    // Count the number of times each word occurs.
+    return stats.Count(s, col)
+}
+
+func main() {
+    // If beamx or Go flags are used, flags must be parsed first.
+    flag.Parse()
+    // beam.Init() is an initialization hook that must be called on startup. On
+    // distributed runners, it is used to intercept control.
+    beam.Init()
+
+    // Input validation is done as usual. Note that it must be after Init().
+    if *output == "" {
+        log.Fatal("No output provided")
+    }
+
+    // Concepts #3 and #4: The pipeline uses the named transform and DoFn.
+    p := beam.NewPipeline()
+    s := p.Root()
+
+    lines := textio.Read(s, *input)
+    counted := CountWords(s, lines)
+    formatted := beam.ParDo(s, formatFn, counted)
+    textio.Write(s, *output, formatted)
+
+    // Concept #1: The beamx.Run convenience wrapper allows a number of
+    // pre-defined runners to be used via the --runner flag.
+    if err := beamx.Run(context.Background(), p); err != nil {
+        log.Fatalf("Failed to execute job: %v", err)
+    }
+}
diff --git a/tests/system/providers/google/cloud/dataprep/example_dataprep.py b/tests/system/providers/google/cloud/dataprep/example_dataprep.py
index 9f478a5f0be5b..a192f7fec5149 100644
--- a/tests/system/providers/google/cloud/dataprep/example_dataprep.py
+++ b/tests/system/providers/google/cloud/dataprep/example_dataprep.py
@@ -39,10 +39,10 @@
 DAG_ID = "example_dataprep"
 
 GCP_PROJECT_ID = os.environ.get("SYSTEM_TESTS_GCP_PROJECT")
-GCS_BUCKET_NAME = f"dataprep-bucket-heorhi-{DAG_ID}-{ENV_ID}"
+GCS_BUCKET_NAME = f"dataprep-bucket-{DAG_ID}-{ENV_ID}"
 GCS_BUCKET_PATH = f"gs://{GCS_BUCKET_NAME}/task_results/"
 
-FLOW_ID = os.environ.get("FLOW_ID", "")
+FLOW_ID = os.environ.get("FLOW_ID")
 RECIPE_ID = os.environ.get("RECIPE_ID")
 RECIPE_NAME = os.environ.get("RECIPE_NAME")
 WRITE_SETTINGS = (
diff --git a/tests/system/providers/google/cloud/dataproc/example_dataproc_batch.py b/tests/system/providers/google/cloud/dataproc/example_dataproc_batch.py
index 8ca87c59fa41d..160422d197cd7 100644
--- a/tests/system/providers/google/cloud/dataproc/example_dataproc_batch.py
+++ b/tests/system/providers/google/cloud/dataproc/example_dataproc_batch.py
@@ -37,7 +37,7 @@
 
 ENV_ID = os.environ.get("SYSTEM_TESTS_ENV_ID")
 DAG_ID = "dataproc_batch"
-PROJECT_ID = os.environ.get("SYSTEM_TESTS_GCP_PROJECT", "")
+PROJECT_ID = os.environ.get("SYSTEM_TESTS_GCP_PROJECT")
 REGION = "europe-west1"
 
 BATCH_ID = f"test-batch-id-{ENV_ID}"
@@ -130,7 +130,7 @@
         task_id="cancel_operation",
         project_id=PROJECT_ID,
         region=REGION,
-        operation_name="{{ task_instance.xcom_pull('create_batch') }}",
+        operation_name="{{ task_instance.xcom_pull('create_batch_4') }}",
     )
     # [END how_to_cloud_dataproc_cancel_operation_operator]
 
diff --git a/tests/system/providers/google/cloud/dataproc/example_dataproc_batch_persistent.py b/tests/system/providers/google/cloud/dataproc/example_dataproc_batch_persistent.py
index 55c6b2fafaed1..011b91d24594d 100644
--- a/tests/system/providers/google/cloud/dataproc/example_dataproc_batch_persistent.py
+++ b/tests/system/providers/google/cloud/dataproc/example_dataproc_batch_persistent.py
@@ -34,7 +34,7 @@
 
 ENV_ID = os.environ.get("SYSTEM_TESTS_ENV_ID")
 DAG_ID = "dataproc_batch_ps"
-PROJECT_ID = os.environ.get("SYSTEM_TESTS_GCP_PROJECT", "")
+PROJECT_ID = os.environ.get("SYSTEM_TESTS_GCP_PROJECT")
 BUCKET_NAME = f"bucket_{DAG_ID}_{ENV_ID}"
 REGION = "europe-west1"
 CLUSTER_NAME = f"dataproc-cluster-ps-{ENV_ID}"
diff --git a/tests/system/providers/google/cloud/dataproc/example_dataproc_cluster_deferrable.py b/tests/system/providers/google/cloud/dataproc/example_dataproc_cluster_deferrable.py
index 8f35404fc5266..1128c4cce7e61 100644
--- a/tests/system/providers/google/cloud/dataproc/example_dataproc_cluster_deferrable.py
+++ b/tests/system/providers/google/cloud/dataproc/example_dataproc_cluster_deferrable.py
@@ -32,10 +32,10 @@
 from airflow.utils.trigger_rule import TriggerRule
 
 ENV_ID = os.environ.get("SYSTEM_TESTS_ENV_ID")
-DAG_ID = "dataproc_update"
-PROJECT_ID = os.environ.get("SYSTEM_TESTS_GCP_PROJECT", "")
+DAG_ID = "dataproc_cluster_def"
+PROJECT_ID = os.environ.get("SYSTEM_TESTS_GCP_PROJECT")
 
-CLUSTER_NAME = f"cluster-dataproc-update-{ENV_ID}"
+CLUSTER_NAME = f"cluster-dataproc-def-{ENV_ID}"
 REGION = "europe-west1"
 ZONE = "europe-west1-b"
 
diff --git a/tests/system/providers/google/cloud/dataproc/example_dataproc_cluster_generator.py b/tests/system/providers/google/cloud/dataproc/example_dataproc_cluster_generator.py
index 54afd48aa2935..be25251e16954 100644
--- a/tests/system/providers/google/cloud/dataproc/example_dataproc_cluster_generator.py
+++ b/tests/system/providers/google/cloud/dataproc/example_dataproc_cluster_generator.py
@@ -37,7 +37,7 @@
 
 ENV_ID = os.environ.get("SYSTEM_TESTS_ENV_ID")
 DAG_ID = "dataproc_cluster_generation"
-PROJECT_ID = os.environ.get("SYSTEM_TESTS_GCP_PROJECT", "")
+PROJECT_ID = os.environ.get("SYSTEM_TESTS_GCP_PROJECT")
 
 BUCKET_NAME = f"bucket_{DAG_ID}_{ENV_ID}"
 CLUSTER_NAME = f"dataproc-cluster-gen-{ENV_ID}"
diff --git a/tests/system/providers/google/cloud/dataproc/example_dataproc_update.py b/tests/system/providers/google/cloud/dataproc/example_dataproc_cluster_update.py
similarity index 98%
rename from tests/system/providers/google/cloud/dataproc/example_dataproc_update.py
rename to tests/system/providers/google/cloud/dataproc/example_dataproc_cluster_update.py
index 8cfe7dae36c13..1607e714f5e76 100644
--- a/tests/system/providers/google/cloud/dataproc/example_dataproc_update.py
+++ b/tests/system/providers/google/cloud/dataproc/example_dataproc_cluster_update.py
@@ -33,7 +33,7 @@
 
 ENV_ID = os.environ.get("SYSTEM_TESTS_ENV_ID")
 DAG_ID = "dataproc_update"
-PROJECT_ID = os.environ.get("SYSTEM_TESTS_GCP_PROJECT", "")
+PROJECT_ID = os.environ.get("SYSTEM_TESTS_GCP_PROJECT")
 
 CLUSTER_NAME = f"cluster-dataproc-update-{ENV_ID}"
 REGION = "europe-west1"
diff --git a/tests/system/providers/google/cloud/dataproc/example_dataproc_gke.py b/tests/system/providers/google/cloud/dataproc/example_dataproc_gke.py
index 499e76bf8cb5d..63e58d2583694 100644
--- a/tests/system/providers/google/cloud/dataproc/example_dataproc_gke.py
+++ b/tests/system/providers/google/cloud/dataproc/example_dataproc_gke.py
@@ -17,6 +17,13 @@
 # under the License.
 """
 Example Airflow DAG that show how to create a Dataproc cluster in Google Kubernetes Engine.
+
+Required environment variables:
+GKE_NAMESPACE = os.environ.get("GKE_NAMESPACE", f"{CLUSTER_NAME}")
+A GKE cluster can support multiple DP clusters running in different namespaces.
+Define a namespace or assign a default one.
+Notice: optional kubernetes_namespace parameter in VIRTUAL_CLUSTER_CONFIG should be the same as GKE_NAMESPACE
+
 """
 from __future__ import annotations
 
@@ -24,6 +31,7 @@
 from datetime import datetime
 
 from airflow import models
+from airflow.operators.bash import BashOperator
 from airflow.providers.google.cloud.operators.dataproc import (
     DataprocCreateClusterOperator,
     DataprocDeleteClusterOperator,
@@ -41,14 +49,15 @@
 REGION = "us-central1"
 CLUSTER_NAME = f"cluster-test-build-in-gke{ENV_ID}"
 GKE_CLUSTER_NAME = f"test-dataproc-gke-cluster-{ENV_ID}"
+WORKLOAD_POOL = f"{PROJECT_ID}.svc.id.goog"
 GKE_CLUSTER_CONFIG = {
     "name": GKE_CLUSTER_NAME,
     "workload_identity_config": {
-        "workload_pool": f"{PROJECT_ID}.svc.id.goog",
+        "workload_pool": WORKLOAD_POOL,
     },
     "initial_node_count": 1,
 }
-
+GKE_NAMESPACE = os.environ.get("GKE_NAMESPACE", f"{CLUSTER_NAME}")
 # [START how_to_cloud_dataproc_create_cluster_in_gke_config]
 
 VIRTUAL_CLUSTER_CONFIG = {
@@ -84,6 +93,13 @@
         body=GKE_CLUSTER_CONFIG,
     )
 
+    add_iam_policy_binding = BashOperator(
+        task_id="add_iam_policy_binding",
+        bash_command=f"gcloud projects add-iam-policy-binding {PROJECT_ID} "
+        f"--member=serviceAccount:{WORKLOAD_POOL}[{GKE_NAMESPACE}/agent] "
+        "--role=roles/iam.workloadIdentityUser",
+    )
+
     # [START how_to_cloud_dataproc_create_cluster_operator_in_gke]
     create_cluster_in_gke = DataprocCreateClusterOperator(
         task_id="create_cluster_in_gke",
@@ -110,7 +126,13 @@
         trigger_rule=TriggerRule.ALL_DONE,
     )
 
-    create_gke_cluster >> create_cluster_in_gke >> [delete_dataproc_cluster, delete_gke_cluster]
+    (
+        create_gke_cluster
+        >> add_iam_policy_binding
+        >> create_cluster_in_gke
+        >> delete_gke_cluster
+        >> delete_dataproc_cluster
+    )
 
     from tests.system.utils.watcher import watcher
 
diff --git a/tests/system/providers/google/cloud/dataproc/example_dataproc_hadoop.py b/tests/system/providers/google/cloud/dataproc/example_dataproc_hadoop.py
index a937316ebe05a..1eb0307178845 100644
--- a/tests/system/providers/google/cloud/dataproc/example_dataproc_hadoop.py
+++ b/tests/system/providers/google/cloud/dataproc/example_dataproc_hadoop.py
@@ -35,7 +35,7 @@
 
 ENV_ID = os.environ.get("SYSTEM_TESTS_ENV_ID")
 DAG_ID = "dataproc_hadoop"
-PROJECT_ID = os.environ.get("SYSTEM_TESTS_GCP_PROJECT", "")
+PROJECT_ID = os.environ.get("SYSTEM_TESTS_GCP_PROJECT")
 
 BUCKET_NAME = f"bucket_{DAG_ID}_{ENV_ID}"
 CLUSTER_NAME = f"dataproc-hadoop-{ENV_ID}"
diff --git a/tests/system/providers/google/cloud/dataproc/example_dataproc_hive.py b/tests/system/providers/google/cloud/dataproc/example_dataproc_hive.py
index cf9c99ed3a1fc..ea98725b29931 100644
--- a/tests/system/providers/google/cloud/dataproc/example_dataproc_hive.py
+++ b/tests/system/providers/google/cloud/dataproc/example_dataproc_hive.py
@@ -33,7 +33,7 @@
 
 ENV_ID = os.environ.get("SYSTEM_TESTS_ENV_ID")
 DAG_ID = "dataproc_hive"
-PROJECT_ID = os.environ.get("SYSTEM_TESTS_GCP_PROJECT", "")
+PROJECT_ID = os.environ.get("SYSTEM_TESTS_GCP_PROJECT")
 
 CLUSTER_NAME = f"cluster-dataproc-hive-{ENV_ID}"
 REGION = "europe-west1"
diff --git a/tests/system/providers/google/cloud/dataproc/example_dataproc_pig.py b/tests/system/providers/google/cloud/dataproc/example_dataproc_pig.py
index e3562a753f3c0..4510ab09b5007 100644
--- a/tests/system/providers/google/cloud/dataproc/example_dataproc_pig.py
+++ b/tests/system/providers/google/cloud/dataproc/example_dataproc_pig.py
@@ -33,7 +33,7 @@
 
 ENV_ID = os.environ.get("SYSTEM_TESTS_ENV_ID")
 DAG_ID = "dataproc_pig"
-PROJECT_ID = os.environ.get("SYSTEM_TESTS_GCP_PROJECT", "")
+PROJECT_ID = os.environ.get("SYSTEM_TESTS_GCP_PROJECT")
 
 CLUSTER_NAME = f"cluster-dataproc-pig-{ENV_ID}"
 REGION = "europe-west1"
diff --git a/tests/system/providers/google/cloud/dataproc/example_dataproc_pyspark.py b/tests/system/providers/google/cloud/dataproc/example_dataproc_pyspark.py
index c8543ac2becbb..b23482f5ac8a4 100644
--- a/tests/system/providers/google/cloud/dataproc/example_dataproc_pyspark.py
+++ b/tests/system/providers/google/cloud/dataproc/example_dataproc_pyspark.py
@@ -36,7 +36,7 @@
 
 ENV_ID = os.environ.get("SYSTEM_TESTS_ENV_ID")
 DAG_ID = "dataproc_pyspark"
-PROJECT_ID = os.environ.get("SYSTEM_TESTS_GCP_PROJECT", "")
+PROJECT_ID = os.environ.get("SYSTEM_TESTS_GCP_PROJECT")
 
 BUCKET_NAME = f"bucket_{DAG_ID}_{ENV_ID}"
 CLUSTER_NAME = f"cluster-dataproc-pyspark-{ENV_ID}"
diff --git a/tests/system/providers/google/cloud/dataproc/example_dataproc_spark.py b/tests/system/providers/google/cloud/dataproc/example_dataproc_spark.py
index f3af5a7503a77..761d018166239 100644
--- a/tests/system/providers/google/cloud/dataproc/example_dataproc_spark.py
+++ b/tests/system/providers/google/cloud/dataproc/example_dataproc_spark.py
@@ -33,7 +33,7 @@
 
 ENV_ID = os.environ.get("SYSTEM_TESTS_ENV_ID")
 DAG_ID = "dataproc_spark"
-PROJECT_ID = os.environ.get("SYSTEM_TESTS_GCP_PROJECT", "")
+PROJECT_ID = os.environ.get("SYSTEM_TESTS_GCP_PROJECT")
 
 CLUSTER_NAME = f"cluster-dataproc-spark-{ENV_ID}"
 REGION = "europe-west1"
diff --git a/tests/system/providers/google/cloud/dataproc/example_dataproc_spark_async.py b/tests/system/providers/google/cloud/dataproc/example_dataproc_spark_async.py
index 201158571e8c3..edb704f6bcc95 100644
--- a/tests/system/providers/google/cloud/dataproc/example_dataproc_spark_async.py
+++ b/tests/system/providers/google/cloud/dataproc/example_dataproc_spark_async.py
@@ -34,7 +34,7 @@
 
 ENV_ID = os.environ.get("SYSTEM_TESTS_ENV_ID")
 DAG_ID = "dataproc_spark_async"
-PROJECT_ID = os.environ.get("SYSTEM_TESTS_GCP_PROJECT", "")
+PROJECT_ID = os.environ.get("SYSTEM_TESTS_GCP_PROJECT")
 
 CLUSTER_NAME = f"dataproc-spark-async-{ENV_ID}"
 REGION = "europe-west1"
diff --git a/tests/system/providers/google/cloud/dataproc/example_dataproc_spark_deferrable.py b/tests/system/providers/google/cloud/dataproc/example_dataproc_spark_deferrable.py
index d3a9a0d6ef67e..36e333c2ebb46 100644
--- a/tests/system/providers/google/cloud/dataproc/example_dataproc_spark_deferrable.py
+++ b/tests/system/providers/google/cloud/dataproc/example_dataproc_spark_deferrable.py
@@ -34,7 +34,7 @@
 
 ENV_ID = os.environ.get("SYSTEM_TESTS_ENV_ID")
 DAG_ID = "dataproc_spark_deferrable"
-PROJECT_ID = os.environ.get("SYSTEM_TESTS_GCP_PROJECT", "")
+PROJECT_ID = os.environ.get("SYSTEM_TESTS_GCP_PROJECT")
 
 CLUSTER_NAME = f"cluster-dataproc-spark-{ENV_ID}"
 REGION = "europe-west1"
diff --git a/tests/system/providers/google/cloud/dataproc/example_dataproc_spark_sql.py b/tests/system/providers/google/cloud/dataproc/example_dataproc_spark_sql.py
index 5f31381c2e5fe..ff742aef33bec 100644
--- a/tests/system/providers/google/cloud/dataproc/example_dataproc_spark_sql.py
+++ b/tests/system/providers/google/cloud/dataproc/example_dataproc_spark_sql.py
@@ -33,7 +33,7 @@
 
 ENV_ID = os.environ.get("SYSTEM_TESTS_ENV_ID")
 DAG_ID = "dataproc_spark_sql"
-PROJECT_ID = os.environ.get("SYSTEM_TESTS_GCP_PROJECT", "")
+PROJECT_ID = os.environ.get("SYSTEM_TESTS_GCP_PROJECT")
 
 CLUSTER_NAME = f"dataproc-spark-sql-{ENV_ID}"
 REGION = "europe-west1"
diff --git a/tests/system/providers/google/cloud/dataproc/example_dataproc_sparkr.py b/tests/system/providers/google/cloud/dataproc/example_dataproc_sparkr.py
index ce68eb574f4d9..80d4bca96f5cf 100644
--- a/tests/system/providers/google/cloud/dataproc/example_dataproc_sparkr.py
+++ b/tests/system/providers/google/cloud/dataproc/example_dataproc_sparkr.py
@@ -36,7 +36,7 @@
 
 ENV_ID = os.environ.get("SYSTEM_TESTS_ENV_ID")
 DAG_ID = "dataproc_sparkr"
-PROJECT_ID = os.environ.get("SYSTEM_TESTS_GCP_PROJECT", "")
+PROJECT_ID = os.environ.get("SYSTEM_TESTS_GCP_PROJECT")
 
 BUCKET_NAME = f"bucket_{DAG_ID}_{ENV_ID}"
 CLUSTER_NAME = f"dataproc-sparkr-{ENV_ID}"
diff --git a/tests/system/providers/google/cloud/dataproc_metastore/example_dataproc_metastore.py b/tests/system/providers/google/cloud/dataproc_metastore/example_dataproc_metastore.py
index 1b6341a73a7c9..e3c6d2a3b5a43 100644
--- a/tests/system/providers/google/cloud/dataproc_metastore/example_dataproc_metastore.py
+++ b/tests/system/providers/google/cloud/dataproc_metastore/example_dataproc_metastore.py
@@ -116,7 +116,7 @@
     # [END how_to_cloud_dataproc_metastore_create_service_operator]
 
     # [START how_to_cloud_dataproc_metastore_get_service_operator]
-    get_service_details = DataprocMetastoreGetServiceOperator(
+    get_service = DataprocMetastoreGetServiceOperator(
         task_id="get_service",
         region=REGION,
         project_id=PROJECT_ID,
@@ -138,7 +138,7 @@
 
     # [START how_to_cloud_dataproc_metastore_create_metadata_import_operator]
     import_metadata = DataprocMetastoreCreateMetadataImportOperator(
-        task_id="create_metadata_import",
+        task_id="import_metadata",
         project_id=PROJECT_ID,
         region=REGION,
         service_id=SERVICE_ID,
@@ -176,8 +176,9 @@
 
     (
         create_bucket
+        >> upload_file
         >> create_service
-        >> get_service_details
+        >> get_service
         >> update_service
         >> import_metadata
         >> export_metadata
diff --git a/tests/system/providers/google/cloud/gcs/example_firestore.py b/tests/system/providers/google/cloud/gcs/example_firestore.py
index 9be3b8dd8dcf3..12953e168dfec 100644
--- a/tests/system/providers/google/cloud/gcs/example_firestore.py
+++ b/tests/system/providers/google/cloud/gcs/example_firestore.py
@@ -45,7 +45,6 @@
 
 import os
 from datetime import datetime
-from urllib.parse import urlsplit
 
 from airflow import models
 from airflow.providers.google.cloud.operators.bigquery import (
@@ -59,15 +58,18 @@
 from airflow.utils.trigger_rule import TriggerRule
 
 ENV_ID = os.environ.get("SYSTEM_TESTS_ENV_ID")
-DAG_ID = "example_google_firestore"
+DAG_ID = "example_gcp_firestore"
 GCP_PROJECT_ID = os.environ.get("GCP_PROJECT_ID", "example-gcp-project")
 FIRESTORE_PROJECT_ID = os.environ.get("G_FIRESTORE_PROJECT_ID", "example-firebase-project")
 
 BUCKET_NAME = f"bucket_{DAG_ID}_{ENV_ID}"
 DATASET_NAME = f"dataset_{DAG_ID}_{ENV_ID}"
-EXPORT_DESTINATION_URL = os.environ.get("GCP_FIRESTORE_ARCHIVE_URL", "gs://INVALID BUCKET NAME/namespace/")
-EXPORT_PREFIX = urlsplit(EXPORT_DESTINATION_URL).path
+EXPORT_DESTINATION_URL = os.environ.get("GCP_FIRESTORE_ARCHIVE_URL", f"gs://{BUCKET_NAME}/namespace/")
 EXPORT_COLLECTION_ID = os.environ.get("GCP_FIRESTORE_COLLECTION_ID", "firestore_collection_id")
+EXTERNAL_TABLE_SOURCE_URI = (
+    f"{EXPORT_DESTINATION_URL}/all_namespaces/kind_{EXPORT_COLLECTION_ID}"
+    f"/all_namespaces_kind_{EXPORT_COLLECTION_ID}.export_metadata"
+)
 DATASET_LOCATION = os.environ.get("GCP_FIRESTORE_DATASET_LOCATION", "EU")
 
 if BUCKET_NAME is None:
@@ -80,7 +82,9 @@
     catchup=False,
     tags=["example", "firestore"],
 ) as dag:
-    create_bucket = GCSCreateBucketOperator(task_id="create_bucket", bucket_name=BUCKET_NAME)
+    create_bucket = GCSCreateBucketOperator(
+        task_id="create_bucket", bucket_name=BUCKET_NAME, location=DATASET_LOCATION
+    )
 
     create_dataset = BigQueryCreateEmptyDatasetOperator(
         task_id="create_dataset",
@@ -107,16 +111,10 @@
                 "datasetId": DATASET_NAME,
                 "tableId": "firestore_data",
             },
-            "schema": {
-                "fields": [
-                    {"name": "name", "type": "STRING"},
-                    {"name": "post_abbr", "type": "STRING"},
-                ]
-            },
             "externalDataConfiguration": {
                 "sourceFormat": "DATASTORE_BACKUP",
                 "compression": "NONE",
-                "csvOptions": {"skipLeadingRows": 1},
+                "sourceUris": [EXTERNAL_TABLE_SOURCE_URI],
             },
         },
     )
@@ -146,15 +144,13 @@
 
     (
         # TEST SETUP
-        create_bucket
-        >> create_dataset
+        [create_bucket, create_dataset]
         # TEST BODY
         >> export_database_to_gcs
         >> create_external_table_multiple_types
         >> read_data_from_gcs_multiple_types
         # TEST TEARDOWN
-        >> delete_dataset
-        >> delete_bucket
+        >> [delete_dataset, delete_bucket]
     )
 
     from tests.system.utils.watcher import watcher
diff --git a/tests/system/providers/google/cloud/gcs/example_gcs_sensor.py b/tests/system/providers/google/cloud/gcs/example_gcs_sensor.py
index 988d989767d6b..5523f2ac2c2c6 100644
--- a/tests/system/providers/google/cloud/gcs/example_gcs_sensor.py
+++ b/tests/system/providers/google/cloud/gcs/example_gcs_sensor.py
@@ -26,7 +26,6 @@
 
 from airflow import models
 from airflow.models.baseoperator import chain
-from airflow.operators.bash import BashOperator
 from airflow.providers.google.cloud.operators.gcs import GCSCreateBucketOperator, GCSDeleteBucketOperator
 from airflow.providers.google.cloud.sensors.gcs import (
     GCSObjectExistenceAsyncSensor,
@@ -157,12 +156,9 @@ def mode_setter(self, value):
         task_id="delete_bucket", bucket_name=BUCKET_NAME, trigger_rule=TriggerRule.ALL_DONE
     )
 
-    sleep = BashOperator(task_id="sleep", bash_command="sleep 5")
-
     chain(
         # TEST SETUP
         create_bucket,
-        sleep,
         upload_file,
         # TEST BODY
         [
diff --git a/tests/system/providers/google/cloud/gcs/example_gcs_to_bigquery_async.py b/tests/system/providers/google/cloud/gcs/example_gcs_to_bigquery_async.py
index 5888056456bc3..0bda9be4c3f3e 100644
--- a/tests/system/providers/google/cloud/gcs/example_gcs_to_bigquery_async.py
+++ b/tests/system/providers/google/cloud/gcs/example_gcs_to_bigquery_async.py
@@ -80,7 +80,7 @@
         write_disposition="WRITE_TRUNCATE",
         external_table=False,
         autodetect=True,
-        max_id_key=MAX_ID_STR,
+        max_id_key="string_field_0",
         deferrable=True,
     )
 
diff --git a/tests/system/providers/google/cloud/gcs/example_gcs_to_gcs.py b/tests/system/providers/google/cloud/gcs/example_gcs_to_gcs.py
index b377be2e55add..7931295d23e79 100644
--- a/tests/system/providers/google/cloud/gcs/example_gcs_to_gcs.py
+++ b/tests/system/providers/google/cloud/gcs/example_gcs_to_gcs.py
@@ -43,7 +43,7 @@
 
 BUCKET_NAME_SRC = f"bucket_{DAG_ID}_{ENV_ID}"
 BUCKET_NAME_DST = f"bucket_dst_{DAG_ID}_{ENV_ID}"
-RANDOM_FILE_NAME = OBJECT_1 = OBJECT_2 = "random.bin"
+RANDOM_FILE_NAME = OBJECT_1 = OBJECT_2 = "/tmp/random.bin"
 
 
 with models.DAG(
diff --git a/tests/system/providers/google/cloud/gcs/example_s3_to_gcs.py b/tests/system/providers/google/cloud/gcs/example_s3_to_gcs.py
index 063d5a67430b8..f735b3ea55a3f 100644
--- a/tests/system/providers/google/cloud/gcs/example_s3_to_gcs.py
+++ b/tests/system/providers/google/cloud/gcs/example_s3_to_gcs.py
@@ -18,6 +18,7 @@
 
 import os
 from datetime import datetime
+from pathlib import Path
 
 from airflow import models
 from airflow.decorators import task
@@ -31,9 +32,10 @@
 GCP_PROJECT_ID = os.environ.get("SYSTEM_TESTS_GCP_PROJECT")
 DAG_ID = "example_s3_to_gcs"
 
-BUCKET_NAME = f"bucket_{DAG_ID}_{ENV_ID}"
+BUCKET_NAME = f"bucket_{DAG_ID}_{ENV_ID}".replace("_", "-")
 GCS_BUCKET_URL = f"gs://{BUCKET_NAME}/"
-UPLOAD_FILE = "/tmp/example-file.txt"
+FILE_NAME = "example_upload.txt"
+UPLOAD_FILE = str(Path(__file__).parent / "resources" / FILE_NAME)
 PREFIX = "TESTS"
 
 
diff --git a/tests/system/providers/google/cloud/gcs/example_trino_to_gcs.py b/tests/system/providers/google/cloud/gcs/example_trino_to_gcs.py
index d5dc4f72c670e..96690f71471a7 100644
--- a/tests/system/providers/google/cloud/gcs/example_trino_to_gcs.py
+++ b/tests/system/providers/google/cloud/gcs/example_trino_to_gcs.py
@@ -31,6 +31,7 @@
     BigQueryDeleteDatasetOperator,
     BigQueryInsertJobOperator,
 )
+from airflow.providers.google.cloud.operators.gcs import GCSCreateBucketOperator, GCSDeleteBucketOperator
 from airflow.providers.google.cloud.transfers.trino_to_gcs import TrinoToGCSOperator
 from airflow.utils.trigger_rule import TriggerRule
 
@@ -41,7 +42,7 @@
 GCS_BUCKET = f"bucket_{DAG_ID}_{ENV_ID}"
 DATASET_NAME = f"dataset_{DAG_ID}_{ENV_ID}"
 
-SOURCE_MULTIPLE_TYPES = "memory.default.test_multiple_types"
+SOURCE_SCHEMA_COLUMNS = "memory.information_schema.columns"
 SOURCE_CUSTOMER_TABLE = "tpch.sf1.customer"
 
 
@@ -68,22 +69,26 @@ def safe_name(s: str) -> str:
         trigger_rule=TriggerRule.ALL_DONE,
     )
 
+    create_bucket = GCSCreateBucketOperator(task_id="create_bucket", bucket_name=GCS_BUCKET)
+
+    delete_bucket = GCSDeleteBucketOperator(task_id="delete_bucket", bucket_name=GCS_BUCKET)
+
     # [START howto_operator_trino_to_gcs_basic]
     trino_to_gcs_basic = TrinoToGCSOperator(
         task_id="trino_to_gcs_basic",
-        sql=f"select * from {SOURCE_MULTIPLE_TYPES}",
+        sql=f"select * from {SOURCE_SCHEMA_COLUMNS}",
         bucket=GCS_BUCKET,
-        filename=f"{safe_name(SOURCE_MULTIPLE_TYPES)}.{{}}.json",
+        filename=f"{safe_name(SOURCE_SCHEMA_COLUMNS)}.{{}}.json",
     )
     # [END howto_operator_trino_to_gcs_basic]
 
     # [START howto_operator_trino_to_gcs_multiple_types]
     trino_to_gcs_multiple_types = TrinoToGCSOperator(
         task_id="trino_to_gcs_multiple_types",
-        sql=f"select * from {SOURCE_MULTIPLE_TYPES}",
+        sql=f"select * from {SOURCE_SCHEMA_COLUMNS}",
         bucket=GCS_BUCKET,
-        filename=f"{safe_name(SOURCE_MULTIPLE_TYPES)}.{{}}.json",
-        schema_filename=f"{safe_name(SOURCE_MULTIPLE_TYPES)}-schema.json",
+        filename=f"{safe_name(SOURCE_SCHEMA_COLUMNS)}.{{}}.json",
+        schema_filename=f"{safe_name(SOURCE_SCHEMA_COLUMNS)}-schema.json",
         gzip=False,
     )
     # [END howto_operator_trino_to_gcs_multiple_types]
@@ -96,22 +101,28 @@ def safe_name(s: str) -> str:
             "tableReference": {
                 "projectId": GCP_PROJECT_ID,
                 "datasetId": DATASET_NAME,
-                "tableId": f"{safe_name(SOURCE_MULTIPLE_TYPES)}",
+                "tableId": f"{safe_name(SOURCE_SCHEMA_COLUMNS)}",
             },
             "schema": {
                 "fields": [
-                    {"name": "name", "type": "STRING"},
-                    {"name": "post_abbr", "type": "STRING"},
-                ]
+                    {"name": "table_catalog", "type": "STRING"},
+                    {"name": "table_schema", "type": "STRING"},
+                    {"name": "table_name", "type": "STRING"},
+                    {"name": "column_name", "type": "STRING"},
+                    {"name": "ordinal_position", "type": "INT64"},
+                    {"name": "column_default", "type": "STRING"},
+                    {"name": "is_nullable", "type": "STRING"},
+                    {"name": "data_type", "type": "STRING"},
+                ],
             },
             "externalDataConfiguration": {
                 "sourceFormat": "NEWLINE_DELIMITED_JSON",
                 "compression": "NONE",
-                "csvOptions": {"skipLeadingRows": 1},
+                "sourceUris": [f"gs://{GCS_BUCKET}/{safe_name(SOURCE_SCHEMA_COLUMNS)}.*.json"],
             },
         },
-        source_objects=[f"{safe_name(SOURCE_MULTIPLE_TYPES)}.*.json"],
-        schema_object=f"{safe_name(SOURCE_MULTIPLE_TYPES)}-schema.json",
+        source_objects=[f"{safe_name(SOURCE_SCHEMA_COLUMNS)}.*.json"],
+        schema_object=f"{safe_name(SOURCE_SCHEMA_COLUMNS)}-schema.json",
     )
     # [END howto_operator_create_external_table_multiple_types]
 
@@ -120,7 +131,7 @@ def safe_name(s: str) -> str:
         configuration={
             "query": {
                 "query": f"SELECT COUNT(*) FROM `{GCP_PROJECT_ID}.{DATASET_NAME}."
-                f"{safe_name(SOURCE_MULTIPLE_TYPES)}`",
+                f"{safe_name(SOURCE_SCHEMA_COLUMNS)}`",
                 "useLegacySql": False,
             }
         },
@@ -149,14 +160,20 @@ def safe_name(s: str) -> str:
             },
             "schema": {
                 "fields": [
+                    {"name": "custkey", "type": "INT64"},
                     {"name": "name", "type": "STRING"},
-                    {"name": "post_abbr", "type": "STRING"},
+                    {"name": "address", "type": "STRING"},
+                    {"name": "nationkey", "type": "INT64"},
+                    {"name": "phone", "type": "STRING"},
+                    {"name": "acctbal", "type": "FLOAT64"},
+                    {"name": "mktsegment", "type": "STRING"},
+                    {"name": "comment", "type": "STRING"},
                 ]
             },
             "externalDataConfiguration": {
                 "sourceFormat": "NEWLINE_DELIMITED_JSON",
                 "compression": "NONE",
-                "csvOptions": {"skipLeadingRows": 1},
+                "sourceUris": [f"gs://{GCS_BUCKET}/{safe_name(SOURCE_CUSTOMER_TABLE)}.*.json"],
             },
         },
         source_objects=[f"{safe_name(SOURCE_CUSTOMER_TABLE)}.*.json"],
@@ -179,17 +196,17 @@ def safe_name(s: str) -> str:
     # [START howto_operator_trino_to_gcs_csv]
     trino_to_gcs_csv = TrinoToGCSOperator(
         task_id="trino_to_gcs_csv",
-        sql=f"select * from {SOURCE_MULTIPLE_TYPES}",
+        sql=f"select * from {SOURCE_SCHEMA_COLUMNS}",
         bucket=GCS_BUCKET,
-        filename=f"{safe_name(SOURCE_MULTIPLE_TYPES)}.{{}}.csv",
-        schema_filename=f"{safe_name(SOURCE_MULTIPLE_TYPES)}-schema.json",
+        filename=f"{safe_name(SOURCE_SCHEMA_COLUMNS)}.{{}}.csv",
+        schema_filename=f"{safe_name(SOURCE_SCHEMA_COLUMNS)}-schema.json",
         export_format="csv",
     )
     # [END howto_operator_trino_to_gcs_csv]
 
     (
         # TEST SETUP
-        create_dataset
+        [create_dataset, create_bucket]
         # TEST BODY
         >> trino_to_gcs_basic
         >> trino_to_gcs_multiple_types
@@ -200,7 +217,7 @@ def safe_name(s: str) -> str:
         >> read_data_from_gcs_multiple_types
         >> read_data_from_gcs_many_chunks
         # TEST TEARDOWN
-        >> delete_dataset
+        >> [delete_dataset, delete_bucket]
     )
 
     from tests.system.utils.watcher import watcher
diff --git a/tests/system/providers/google/cloud/gcs/resources/us-states.csv b/tests/system/providers/google/cloud/gcs/resources/us-states.csv
new file mode 100644
index 0000000000000..52cc001884b5a
--- /dev/null
+++ b/tests/system/providers/google/cloud/gcs/resources/us-states.csv
@@ -0,0 +1,51 @@
+name,post_abbr
+Alabama,AL
+Alaska,AK
+Arizona,AZ
+Arkansas,AR
+California,CA
+Colorado,CO
+Connecticut,CT
+Delaware,DE
+Florida,FL
+Georgia,GA
+Hawaii,HI
+Idaho,ID
+Illinois,IL
+Indiana,IN
+Iowa,IA
+Kansas,KS
+Kentucky,KY
+Louisiana,LA
+Maine,ME
+Maryland,MD
+Massachusetts,MA
+Michigan,MI
+Minnesota,MN
+Mississippi,MS
+Missouri,MO
+Montana,MT
+Nebraska,NE
+Nevada,NV
+New Hampshire,NH
+New Jersey,NJ
+New Mexico,NM
+New York,NY
+North Carolina,NC
+North Dakota,ND
+Ohio,OH
+Oklahoma,OK
+Oregon,OR
+Pennsylvania,PA
+Rhode Island,RI
+South Carolina,SC
+South Dakota,SD
+Tennessee,TN
+Texas,TX
+Utah,UT
+Vermont,VT
+Virginia,VA
+Washington,WA
+West Virginia,WV
+Wisconsin,WI
+Wyoming,WY
diff --git a/tests/system/providers/google/cloud/ml_engine/example_mlengine.py b/tests/system/providers/google/cloud/ml_engine/example_mlengine.py
index f61e35298443d..491ce66520d28 100644
--- a/tests/system/providers/google/cloud/ml_engine/example_mlengine.py
+++ b/tests/system/providers/google/cloud/ml_engine/example_mlengine.py
@@ -49,14 +49,14 @@
 
 DAG_ID = "example_gcp_mlengine"
 PREDICT_FILE_NAME = "predict.json"
-MODEL_NAME = f"example_mlengine_model_{ENV_ID}"
-BUCKET_NAME = f"example_mlengine_bucket_{ENV_ID}"
+MODEL_NAME = f"example_ml_model_{ENV_ID}"
+BUCKET_NAME = f"example_ml_bucket_{ENV_ID}"
 BUCKET_PATH = f"gs://{BUCKET_NAME}"
 JOB_DIR = f"{BUCKET_PATH}/job-dir"
 SAVED_MODEL_PATH = f"{JOB_DIR}/"
 PREDICTION_INPUT = f"{BUCKET_PATH}/{PREDICT_FILE_NAME}"
 PREDICTION_OUTPUT = f"{BUCKET_PATH}/prediction_output/"
-TRAINER_URI = "gs://system-tests-resources/example_gcp_mlengine/trainer-0.1.tar.gz"
+TRAINER_URI = "gs://system-tests-resources/example_gcp_mlengine/trainer-0.2.tar.gz"
 TRAINER_PY_MODULE = "trainer.task"
 SUMMARY_TMP = f"{BUCKET_PATH}/tmp/"
 SUMMARY_STAGING = f"{BUCKET_PATH}/staging/"
@@ -66,7 +66,7 @@
 
 
 def generate_model_predict_input_data() -> list[int]:
-    return [i for i in range(0, 201, 10)]
+    return [1, 4, 9, 16, 25, 36]
 
 
 with models.DAG(
@@ -104,7 +104,7 @@ def write_predict_file(path_to_file: str):
         project_id=PROJECT_ID,
         region="us-central1",
         job_id="training-job-{{ ts_nodash }}-{{ params.model_name }}",
-        runtime_version="1.15",
+        runtime_version="2.1",
         python_version="3.7",
         job_dir=JOB_DIR,
         package_uris=[TRAINER_URI],
@@ -148,7 +148,7 @@ def write_predict_file(path_to_file: str):
             "name": "v1",
             "description": "First-version",
             "deployment_uri": JOB_DIR,
-            "runtime_version": "1.15",
+            "runtime_version": "2.1",
             "machineType": "mls1-c1-m2",
             "framework": "TENSORFLOW",
             "pythonVersion": "3.7",
@@ -165,7 +165,7 @@ def write_predict_file(path_to_file: str):
             "name": "v2",
             "description": "Second version",
             "deployment_uri": JOB_DIR,
-            "runtime_version": "1.15",
+            "runtime_version": "2.1",
             "machineType": "mls1-c1-m2",
             "framework": "TENSORFLOW",
             "pythonVersion": "3.7",
@@ -252,7 +252,7 @@ def get_metric_fn_and_keys():
         """
 
         def normalize_value(inst: dict):
-            val = float(inst["output_layer"][0])
+            val = int(inst["output_layer"][0])
             return tuple([val])  # returns a tuple.
 
         return normalize_value, ["val"]  # key order must match.
diff --git a/tests/system/providers/google/cloud/ml_engine/example_mlengine_async.py b/tests/system/providers/google/cloud/ml_engine/example_mlengine_async.py
index b870754b0c16a..ef5dbee2cc35e 100644
--- a/tests/system/providers/google/cloud/ml_engine/example_mlengine_async.py
+++ b/tests/system/providers/google/cloud/ml_engine/example_mlengine_async.py
@@ -48,15 +48,15 @@
 ENV_ID = os.environ.get("SYSTEM_TESTS_ENV_ID")
 
 DAG_ID = "async_example_gcp_mlengine"
-PREDICT_FILE_NAME = "predict.json"
-MODEL_NAME = f"example_mlengine_model_{ENV_ID}"
-BUCKET_NAME = f"example_mlengine_bucket_{ENV_ID}"
+PREDICT_FILE_NAME = "async_predict.json"
+MODEL_NAME = f"example_async_ml_model_{ENV_ID}"
+BUCKET_NAME = f"example_async_ml_bucket_{ENV_ID}"
 BUCKET_PATH = f"gs://{BUCKET_NAME}"
 JOB_DIR = f"{BUCKET_PATH}/job-dir"
 SAVED_MODEL_PATH = f"{JOB_DIR}/"
 PREDICTION_INPUT = f"{BUCKET_PATH}/{PREDICT_FILE_NAME}"
 PREDICTION_OUTPUT = f"{BUCKET_PATH}/prediction_output/"
-TRAINER_URI = "gs://system-tests-resources/example_gcp_mlengine/trainer-0.1.tar.gz"
+TRAINER_URI = "gs://system-tests-resources/example_gcp_mlengine/async-trainer-0.2.tar.gz"
 TRAINER_PY_MODULE = "trainer.task"
 SUMMARY_TMP = f"{BUCKET_PATH}/tmp/"
 SUMMARY_STAGING = f"{BUCKET_PATH}/staging/"
@@ -66,7 +66,7 @@
 
 
 def generate_model_predict_input_data() -> list[int]:
-    return [i for i in range(0, 201, 10)]
+    return [1, 4, 9, 16, 25, 36]
 
 
 with models.DAG(
@@ -104,7 +104,7 @@ def write_predict_file(path_to_file: str):
         project_id=PROJECT_ID,
         region="us-central1",
         job_id="async_training-job-{{ ts_nodash }}-{{ params.model_name }}",
-        runtime_version="1.15",
+        runtime_version="2.1",
         python_version="3.7",
         job_dir=JOB_DIR,
         package_uris=[TRAINER_URI],
@@ -149,7 +149,7 @@ def write_predict_file(path_to_file: str):
             "name": "v1",
             "description": "First-version",
             "deployment_uri": JOB_DIR,
-            "runtime_version": "1.15",
+            "runtime_version": "2.1",
             "machineType": "mls1-c1-m2",
             "framework": "TENSORFLOW",
             "pythonVersion": "3.7",
@@ -166,7 +166,7 @@ def write_predict_file(path_to_file: str):
             "name": "v2",
             "description": "Second version",
             "deployment_uri": JOB_DIR,
-            "runtime_version": "1.15",
+            "runtime_version": "2.1",
             "machineType": "mls1-c1-m2",
             "framework": "TENSORFLOW",
             "pythonVersion": "3.7",
@@ -202,7 +202,7 @@ def write_predict_file(path_to_file: str):
     prediction = MLEngineStartBatchPredictionJobOperator(
         task_id="prediction",
         project_id=PROJECT_ID,
-        job_id="prediction-{{ ts_nodash }}-{{ params.model_name }}",
+        job_id="async-prediction-{{ ts_nodash }}-{{ params.model_name }}",
         region="us-central1",
         model_name=MODEL_NAME,
         data_format="TEXT",
@@ -253,7 +253,7 @@ def get_metric_fn_and_keys():
         """
 
         def normalize_value(inst: dict):
-            val = float(inst["output_layer"][0])
+            val = int(inst["output_layer"][0])
             return tuple([val])  # returns a tuple.
 
         return normalize_value, ["val"]  # key order must match.
@@ -284,7 +284,7 @@ def validate_err_and_count(summary: dict) -> dict:
         prediction_path=PREDICTION_OUTPUT,
         metric_fn_and_keys=get_metric_fn_and_keys(),
         validate_fn=validate_err_and_count,
-        batch_prediction_job_id="evaluate-ops-{{ ts_nodash }}-{{ params.model_name }}",
+        batch_prediction_job_id="async-evaluate-ops-{{ ts_nodash }}-{{ params.model_name }}",
         project_id=PROJECT_ID,
         region="us-central1",
         dataflow_options={
diff --git a/tests/system/providers/google/cloud/natural_language/example_natural_language.py b/tests/system/providers/google/cloud/natural_language/example_natural_language.py
index 34591dde40a3d..9c9cae26b86d6 100644
--- a/tests/system/providers/google/cloud/natural_language/example_natural_language.py
+++ b/tests/system/providers/google/cloud/natural_language/example_natural_language.py
@@ -23,7 +23,7 @@
 import os
 from datetime import datetime
 
-from google.cloud.language_v1.proto.language_service_pb2 import Document
+from google.cloud.language_v1 import Document
 
 from airflow import models
 from airflow.operators.bash import BashOperator
diff --git a/tests/system/providers/google/cloud/sql_to_sheets/example_sql_to_sheets.py b/tests/system/providers/google/cloud/sql_to_sheets/example_sql_to_sheets.py
index 6a11b27b7b5a0..4ff49ec9aab74 100644
--- a/tests/system/providers/google/cloud/sql_to_sheets/example_sql_to_sheets.py
+++ b/tests/system/providers/google/cloud/sql_to_sheets/example_sql_to_sheets.py
@@ -15,6 +15,55 @@
 # KIND, either express or implied.  See the License for the
 # specific language governing permissions and limitations
 # under the License.
+
+"""
+Required environment variables:
+```
+DB_CONNECTION = os.environ.get("DB_CONNECTION")
+SPREADSHEET_ID = os.environ.get("SPREADSHEET_ID", "test-id")
+```
+
+First, you need a db instance that is accessible from the Airflow environment.
+You can, for example, create a Cloud SQL instance and connect to it from
+within breeze with Cloud SQL proxy:
+https://cloud.google.com/sql/docs/postgres/connect-instance-auth-proxy
+
+# DB setup
+Create db:
+```
+CREATE DATABASE test_db;
+```
+
+Switch to db:
+```
+\c test_db
+```
+
+Create table and insert some rows
+```
+CREATE TABLE test_table (col1 INT, col2 INT);
+INSERT INTO test_table VALUES (1,2), (3,4), (5,6), (7,8);
+```
+
+# Setup connections
+db connection:
+In airflow UI, set one db connection, for example "postgres_default"
+and make sure the "Test" at the bottom succeeds
+
+google cloud connection:
+We need additional scopes for this test
+scopes: https://www.googleapis.com/auth/spreadsheets, https://www.googleapis.com/auth/cloud-platform
+
+# Sheet
+Finally, you need a Google Sheet you have access to, for testing you can
+create a public sheet and get it's ID.
+
+# Tear Down
+You can delete the db with
+```
+DROP DATABASE test_db;
+```
+"""
 from __future__ import annotations
 
 import os
@@ -24,10 +73,11 @@
 from airflow.providers.google.suite.transfers.sql_to_sheets import SQLToGoogleSheetsOperator
 
 ENV_ID = os.environ.get("SYSTEM_TESTS_ENV_ID")
-DAG_ID = "example_sql_to_sheets"
+DB_CONNECTION = os.environ.get("DB_CONNECTION")
+SPREADSHEET_ID = os.environ.get("SPREADSHEET_ID", "test-id")
 
-SQL = "select 1 as my_col"
-NEW_SPREADSHEET_ID = os.environ.get("NEW_SPREADSHEET_ID", "123")
+DAG_ID = "example_sql_to_sheets"
+SQL = "select col2 from test_table"
 
 with models.DAG(
     DAG_ID,
@@ -40,8 +90,9 @@
     upload_gcs_to_sheet = SQLToGoogleSheetsOperator(
         task_id="upload_sql_to_sheet",
         sql=SQL,
-        sql_conn_id="database_conn_id",
-        spreadsheet_id=NEW_SPREADSHEET_ID,
+        sql_conn_id=DB_CONNECTION,
+        database="test_db",
+        spreadsheet_id=SPREADSHEET_ID,
     )
     # [END upload_sql_to_sheets]
 
diff --git a/tests/system/providers/google/cloud/stackdriver/example_stackdriver.py b/tests/system/providers/google/cloud/stackdriver/example_stackdriver.py
index db8e0054c7cc0..12c68a4afd392 100644
--- a/tests/system/providers/google/cloud/stackdriver/example_stackdriver.py
+++ b/tests/system/providers/google/cloud/stackdriver/example_stackdriver.py
@@ -112,15 +112,15 @@
 TEST_NOTIFICATION_CHANNEL_1 = {
     "display_name": CHANNEL_1_NAME,
     "enabled": True,
-    "labels": {"auth_token": "top-secret", "channel_name": "#channel"},
-    "type_": "slack",
+    "labels": {"topic": f"projects/{PROJECT_ID}/topics/notificationTopic"},
+    "type": "pubsub",
 }
 
 TEST_NOTIFICATION_CHANNEL_2 = {
     "display_name": CHANNEL_2_NAME,
     "enabled": False,
-    "labels": {"auth_token": "top-secret", "channel_name": "#channel"},
-    "type_": "slack",
+    "labels": {"topic": f"projects/{PROJECT_ID}/topics/notificationTopic2"},
+    "type": "pubsub",
 }
 
 with models.DAG(
@@ -139,7 +139,7 @@
 
     # [START howto_operator_gcp_stackdriver_enable_notification_channel]
     enable_notification_channel = StackdriverEnableNotificationChannelsOperator(
-        task_id="enable-notification-channel", filter_='type="slack"'
+        task_id="enable-notification-channel", filter_='type="pubsub"'
     )
     # [END howto_operator_gcp_stackdriver_enable_notification_channel]
 
@@ -151,7 +151,7 @@
 
     # [START howto_operator_gcp_stackdriver_list_notification_channel]
     list_notification_channel = StackdriverListNotificationChannelsOperator(
-        task_id="list-notification-channel", filter_='type="slack"'
+        task_id="list-notification-channel", filter_='type="pubsub"'
     )
     # [END howto_operator_gcp_stackdriver_list_notification_channel]
 
diff --git a/tests/system/providers/google/cloud/tasks/example_queue.py b/tests/system/providers/google/cloud/tasks/example_queue.py
index b54a217be9142..6fd2647b02b4c 100644
--- a/tests/system/providers/google/cloud/tasks/example_queue.py
+++ b/tests/system/providers/google/cloud/tasks/example_queue.py
@@ -18,6 +18,9 @@
 """
 Example Airflow DAG that creates, gets, lists, updates, purges, pauses, resumes
 and deletes Queues in the Google Cloud Tasks service in the Google Cloud.
+
+Required setup:
+- GCP_APP_ENGINE_LOCATION: GCP Project's App Engine location `gcloud app describe | grep locationId`.
 """
 from __future__ import annotations
 
@@ -47,7 +50,7 @@
 ENV_ID = os.environ.get("SYSTEM_TESTS_ENV_ID")
 DAG_ID = "cloud_tasks_queue"
 
-LOCATION = "europe-west2"
+LOCATION = os.environ.get("GCP_APP_ENGINE_LOCATION", "europe-west2")
 QUEUE_ID = f"queue-{ENV_ID}-{DAG_ID.replace('_', '-')}"
 
 
diff --git a/tests/system/providers/google/cloud/tasks/example_tasks.py b/tests/system/providers/google/cloud/tasks/example_tasks.py
index 6916852a4b999..22eb6561a9ea0 100644
--- a/tests/system/providers/google/cloud/tasks/example_tasks.py
+++ b/tests/system/providers/google/cloud/tasks/example_tasks.py
@@ -18,6 +18,9 @@
 """
 Example Airflow DAG that creates and deletes Queues and creates, gets, lists,
 runs and deletes Tasks in the Google Cloud Tasks service in the Google Cloud.
+
+Required setup:
+- GCP_APP_ENGINE_LOCATION: GCP Project's App Engine location `gcloud app describe | grep locationId`.
 """
 from __future__ import annotations
 
@@ -48,7 +51,7 @@
 timestamp = timestamp_pb2.Timestamp()
 timestamp.FromDatetime(datetime.now() + timedelta(hours=12))
 
-LOCATION = "europe-west2"
+LOCATION = os.environ.get("GCP_APP_ENGINE_LOCATION", "europe-west2")
 # queue cannot use recent names even if queue was removed
 QUEUE_ID = f"queue-{ENV_ID}-{DAG_ID.replace('_', '-')}"
 TASK_NAME = "task-to-run"
@@ -127,6 +130,7 @@ def generate_random_string():
         location=LOCATION,
         queue_name=QUEUE_ID + "{{ task_instance.xcom_pull(task_ids='random_string') }}",
         task_name=TASK_NAME + "{{ task_instance.xcom_pull(task_ids='random_string') }}",
+        retry=Retry(maximum=10.0),
         task_id="run_task",
     )
     # [END run_task]
diff --git a/tests/system/providers/google/cloud/vertex_ai/example_vertex_ai_custom_container.py b/tests/system/providers/google/cloud/vertex_ai/example_vertex_ai_custom_container.py
index 42b915f20f307..4ca7c42897584 100644
--- a/tests/system/providers/google/cloud/vertex_ai/example_vertex_ai_custom_container.py
+++ b/tests/system/providers/google/cloud/vertex_ai/example_vertex_ai_custom_container.py
@@ -56,9 +56,9 @@
 CUSTOM_CONTAINER_GCS_BUCKET_NAME = f"bucket_{DAG_ID}_{ENV_ID}"
 
 DATA_SAMPLE_GCS_OBJECT_NAME = "vertex-ai/california_housing_train.csv"
-CSV_FILE_LOCAL_PATH = "/custom-job/california_housing_train.csv"
+CSV_FILE_LOCAL_PATH = "/custom-job-container/california_housing_train.csv"
 RESOURCES_PATH = Path(__file__).parent / "resources"
-CSV_ZIP_FILE_LOCAL_PATH = str(RESOURCES_PATH / "California-housing.zip")
+CSV_ZIP_FILE_LOCAL_PATH = str(RESOURCES_PATH / "California-housing-custom-container.zip")
 
 TABULAR_DATASET = lambda bucket_name: {
     "display_name": f"tabular-dataset-{ENV_ID}",
@@ -96,7 +96,8 @@
     )
     unzip_file = BashOperator(
         task_id="unzip_csv_data_file",
-        bash_command=f"mkdir -p /custom-job/ && unzip {CSV_ZIP_FILE_LOCAL_PATH} -d /custom-job/",
+        bash_command=f"mkdir -p /custom-job-container/ && "
+        f"unzip {CSV_ZIP_FILE_LOCAL_PATH} -d /custom-job-container/",
     )
     upload_files = LocalFilesystemToGCSOperator(
         task_id="upload_file_to_bucket",
@@ -158,7 +159,7 @@
     )
     clear_folder = BashOperator(
         task_id="clear_folder",
-        bash_command="rm -r /custom-job/*",
+        bash_command="rm -r /custom-job-container/*",
     )
 
     (
diff --git a/tests/system/providers/google/cloud/vertex_ai/example_vertex_ai_custom_job.py b/tests/system/providers/google/cloud/vertex_ai/example_vertex_ai_custom_job.py
index aaa289d9a0c49..2f1fb2ae6df86 100644
--- a/tests/system/providers/google/cloud/vertex_ai/example_vertex_ai_custom_job.py
+++ b/tests/system/providers/google/cloud/vertex_ai/example_vertex_ai_custom_job.py
@@ -56,7 +56,8 @@
 CUSTOM_GCS_BUCKET_NAME = f"bucket_{DAG_ID}_{ENV_ID}"
 
 DATA_SAMPLE_GCS_OBJECT_NAME = "vertex-ai/california_housing_train.csv"
-CSV_ZIP_FILE_LOCAL_PATH = str(Path(__file__).parent / "resources" / "California-housing.zip")
+RESOURCES_PATH = Path(__file__).parent / "resources"
+CSV_ZIP_FILE_LOCAL_PATH = str(RESOURCES_PATH / "California-housing-custom-job.zip")
 CSV_FILE_LOCAL_PATH = "/custom-job/california_housing_train.csv"
 
 TABULAR_DATASET = lambda bucket_name: {
diff --git a/tests/system/providers/google/cloud/vertex_ai/example_vertex_ai_custom_job_python_package.py b/tests/system/providers/google/cloud/vertex_ai/example_vertex_ai_custom_job_python_package.py
index c3a2a27c73ba1..4529f6af155ad 100644
--- a/tests/system/providers/google/cloud/vertex_ai/example_vertex_ai_custom_job_python_package.py
+++ b/tests/system/providers/google/cloud/vertex_ai/example_vertex_ai_custom_job_python_package.py
@@ -57,9 +57,9 @@
 
 DATA_SAMPLE_GCS_OBJECT_NAME = "vertex-ai/california_housing_train.csv"
 RESOURCES_PATH = Path(__file__).parent / "resources"
-CSV_ZIP_FILE_LOCAL_PATH = str(RESOURCES_PATH / "California-housing.zip")
-CSV_FILE_LOCAL_PATH = "/custom-job/california_housing_train.csv"
-TAR_FILE_LOCAL_PATH = "/custom-job/custom_trainer_script-0.1.tar"
+CSV_ZIP_FILE_LOCAL_PATH = str(RESOURCES_PATH / "California-housing-python-package.zip")
+CSV_FILE_LOCAL_PATH = "/custom-job-python/california_housing_train.csv"
+TAR_FILE_LOCAL_PATH = "/custom-job-python/custom_trainer_script-0.1.tar"
 FILES_TO_UPLOAD = [
     CSV_FILE_LOCAL_PATH,
     TAR_FILE_LOCAL_PATH,
@@ -103,7 +103,7 @@
     )
     unzip_file = BashOperator(
         task_id="unzip_csv_data_file",
-        bash_command=f"mkdir -p /custom-job && unzip {CSV_ZIP_FILE_LOCAL_PATH} -d /custom-job/",
+        bash_command=f"mkdir -p /custom-job-python && unzip {CSV_ZIP_FILE_LOCAL_PATH} -d /custom-job-python/",
     )
     upload_files = LocalFilesystemToGCSOperator(
         task_id="upload_file_to_bucket",
@@ -166,7 +166,7 @@
     )
     clear_folder = BashOperator(
         task_id="clear_folder",
-        bash_command="rm -r /custom-job/*",
+        bash_command="rm -r /custom-job-python/*",
     )
 
     (
diff --git a/tests/system/providers/google/cloud/vertex_ai/example_vertex_ai_dataset.py b/tests/system/providers/google/cloud/vertex_ai/example_vertex_ai_dataset.py
index 270103b7f1e23..71992673a8898 100644
--- a/tests/system/providers/google/cloud/vertex_ai/example_vertex_ai_dataset.py
+++ b/tests/system/providers/google/cloud/vertex_ai/example_vertex_ai_dataset.py
@@ -114,7 +114,9 @@
             "gs://google-cloud-aiplatform/schema/dataset/ioformat/image_bounding_box_io_format_1.0.0.yaml"
         ),
         "gcs_source": {
-            "uris": ["gs://ucaip-test-us-central1/dataset/salads_oid_ml_use_public_unassigned.jsonl"]
+            "uris": [
+                "gs://system-tests-resources/vertex-ai/dataset/salads_oid_ml_use_public_unassigned.jsonl"
+            ]
         },
     },
 ]
diff --git a/tests/system/providers/google/cloud/vertex_ai/example_vertex_ai_endpoint.py b/tests/system/providers/google/cloud/vertex_ai/example_vertex_ai_endpoint.py
index da18746cf407a..5d40393fd0175 100644
--- a/tests/system/providers/google/cloud/vertex_ai/example_vertex_ai_endpoint.py
+++ b/tests/system/providers/google/cloud/vertex_ai/example_vertex_ai_endpoint.py
@@ -28,7 +28,6 @@
 from datetime import datetime
 from pathlib import Path
 
-from google.cloud import aiplatform
 from google.cloud.aiplatform import schema
 from google.protobuf.struct_pb2 import Value
 
@@ -63,7 +62,8 @@
 
 DATA_SAMPLE_GCS_BUCKET_NAME = f"bucket_{DAG_ID}_{ENV_ID}"
 DATA_SAMPLE_GCS_OBJECT_NAME = "vertex-ai/image-dataset.csv"
-IMAGE_ZIP_CSV_FILE_LOCAL_PATH = str(Path(__file__).parent / "resources" / "image-dataset.csv.zip")
+RESOURCES_PATH = Path(__file__).parent / "resources"
+IMAGE_ZIP_CSV_FILE_LOCAL_PATH = str(RESOURCES_PATH / "image-dataset.csv.zip")
 IMAGE_CSV_FILE_LOCAL_PATH = "/endpoint/image-dataset.csv"
 
 IMAGE_DATASET = {
@@ -143,12 +143,7 @@
         # format: 'projects/{project}/locations/{location}/models/{model}'
         "model": "{{ti.xcom_pull('auto_ml_image_task')['name']}}",
         "display_name": f"temp_endpoint_test_{ENV_ID}",
-        "dedicated_resources": {
-            "machine_spec": {
-                "machine_type": "n1-standard-2",
-                "accelerator_type": aiplatform.gapic.AcceleratorType.NVIDIA_TESLA_K80,
-                "accelerator_count": 1,
-            },
+        "automatic_resources": {
             "min_replica_count": 1,
             "max_replica_count": 1,
         },
diff --git a/tests/system/providers/google/cloud/vertex_ai/example_vertex_ai_model_service.py b/tests/system/providers/google/cloud/vertex_ai/example_vertex_ai_model_service.py
index 98e0c8d20de4d..fc690d36b7bc0 100644
--- a/tests/system/providers/google/cloud/vertex_ai/example_vertex_ai_model_service.py
+++ b/tests/system/providers/google/cloud/vertex_ai/example_vertex_ai_model_service.py
@@ -65,7 +65,7 @@
 DATA_SAMPLE_GCS_OBJECT_NAME = "vertex-ai/california_housing_train.csv"
 CSV_FILE_LOCAL_PATH = "/model_service/california_housing_train.csv"
 RESOURCES_PATH = Path(__file__).parent / "resources"
-CSV_ZIP_FILE_LOCAL_PATH = str(RESOURCES_PATH / "California-housing.zip")
+CSV_ZIP_FILE_LOCAL_PATH = str(RESOURCES_PATH / "California-housing-ai-model.zip")
 
 TABULAR_DATASET = {
     "display_name": f"tabular-dataset-{ENV_ID}",
diff --git a/tests/system/providers/google/cloud/vertex_ai/resources/California-housing.zip b/tests/system/providers/google/cloud/vertex_ai/resources/California-housing-ai-model.zip
similarity index 100%
rename from tests/system/providers/google/cloud/vertex_ai/resources/California-housing.zip
rename to tests/system/providers/google/cloud/vertex_ai/resources/California-housing-ai-model.zip
diff --git a/tests/system/providers/google/cloud/vertex_ai/resources/California-housing-custom-container.zip b/tests/system/providers/google/cloud/vertex_ai/resources/California-housing-custom-container.zip
new file mode 100644
index 0000000000000..1ac6fc83a4c08
Binary files /dev/null and b/tests/system/providers/google/cloud/vertex_ai/resources/California-housing-custom-container.zip differ
diff --git a/tests/system/providers/google/cloud/vertex_ai/resources/California-housing-custom-job.zip b/tests/system/providers/google/cloud/vertex_ai/resources/California-housing-custom-job.zip
new file mode 100644
index 0000000000000..1ac6fc83a4c08
Binary files /dev/null and b/tests/system/providers/google/cloud/vertex_ai/resources/California-housing-custom-job.zip differ
diff --git a/tests/system/providers/google/cloud/vertex_ai/resources/California-housing-python-package.zip b/tests/system/providers/google/cloud/vertex_ai/resources/California-housing-python-package.zip
new file mode 100644
index 0000000000000..1ac6fc83a4c08
Binary files /dev/null and b/tests/system/providers/google/cloud/vertex_ai/resources/California-housing-python-package.zip differ
diff --git a/tests/system/providers/google/cloud/vision/example_vision_annotate_image.py b/tests/system/providers/google/cloud/vision/example_vision_annotate_image.py
index b65199098bb2b..61d9fb2eca49c 100644
--- a/tests/system/providers/google/cloud/vision/example_vision_annotate_image.py
+++ b/tests/system/providers/google/cloud/vision/example_vision_annotate_image.py
@@ -40,7 +40,7 @@
 # [END howto_operator_vision_retry_import]
 
 # [START howto_operator_vision_enums_import]
-from google.cloud.vision import enums  # isort:skip
+from google.cloud.vision_v1 import Feature  # isort:skip
 
 # [END howto_operator_vision_enums_import]
 
@@ -59,7 +59,7 @@
 # [START howto_operator_vision_annotate_image_request]
 annotate_image_request = {
     "image": {"source": {"image_uri": GCP_VISION_ANNOTATE_IMAGE_URL}},
-    "features": [{"type": enums.Feature.Type.LOGO_DETECTION}],
+    "features": [{"type_": Feature.Type.LOGO_DETECTION}],
 }
 # [END howto_operator_vision_annotate_image_request]
 
@@ -89,7 +89,7 @@
     copy_single_file = GCSToGCSOperator(
         task_id="copy_single_gcs_file",
         source_bucket=BUCKET_NAME_SRC,
-        source_object=PATH_SRC,
+        source_object=[PATH_SRC],
         destination_bucket=BUCKET_NAME,
         destination_object=FILE_NAME,
     )
diff --git a/tests/system/providers/google/cloud/vision/example_vision_autogenerated.py b/tests/system/providers/google/cloud/vision/example_vision_autogenerated.py
index 12820cfeb218b..e16f8dacbed37 100644
--- a/tests/system/providers/google/cloud/vision/example_vision_autogenerated.py
+++ b/tests/system/providers/google/cloud/vision/example_vision_autogenerated.py
@@ -58,7 +58,7 @@
 
 # [END howto_operator_vision_reference_image_import]
 # [START howto_operator_vision_enums_import]
-from google.cloud.vision import enums  # isort:skip
+from google.cloud.vision_v1 import Feature  # isort:skip
 
 # [END howto_operator_vision_enums_import]
 
@@ -93,7 +93,7 @@
 # [START howto_operator_vision_annotate_image_request]
 annotate_image_request = {
     "image": {"source": {"image_uri": VISION_IMAGE_URL}},
-    "features": [{"type": enums.Feature.Type.LOGO_DETECTION}],
+    "features": [{"type_": Feature.Type.LOGO_DETECTION}],
 }
 # [END howto_operator_vision_annotate_image_request]
 
@@ -121,7 +121,7 @@
     copy_single_file = GCSToGCSOperator(
         task_id="copy_single_gcs_file",
         source_bucket=BUCKET_NAME_SRC,
-        source_object=PATH_SRC,
+        source_object=[PATH_SRC],
         destination_bucket=BUCKET_NAME,
         destination_object=FILE_NAME,
     )
diff --git a/tests/system/providers/google/cloud/vision/example_vision_explicit.py b/tests/system/providers/google/cloud/vision/example_vision_explicit.py
index d386b7933d42f..3ac729457fa7e 100644
--- a/tests/system/providers/google/cloud/vision/example_vision_explicit.py
+++ b/tests/system/providers/google/cloud/vision/example_vision_explicit.py
@@ -107,7 +107,7 @@
     copy_single_file = GCSToGCSOperator(
         task_id="copy_single_gcs_file",
         source_bucket=BUCKET_NAME_SRC,
-        source_object=PATH_SRC,
+        source_object=[PATH_SRC],
         destination_bucket=BUCKET_NAME,
         destination_object=FILE_NAME,
     )
@@ -257,6 +257,8 @@
     )
 
     chain(
+        create_bucket,
+        copy_single_file,
         product_set_create_2,
         product_set_get_2,
         product_set_update_2,