diff --git a/sdk/textanalytics/azure-ai-textanalytics/azure/ai/textanalytics/__init__.py b/sdk/textanalytics/azure-ai-textanalytics/azure/ai/textanalytics/__init__.py
index 1cb923b824eb..9b0d0bc5ddfb 100644
--- a/sdk/textanalytics/azure-ai-textanalytics/azure/ai/textanalytics/__init__.py
+++ b/sdk/textanalytics/azure-ai-textanalytics/azure/ai/textanalytics/__init__.py
@@ -42,6 +42,7 @@
     AnalyzeBatchActionsResult,
     RequestStatistics,
     AnalyzeBatchActionsType,
+    AnalyzeBatchActionsError,
 )
 from._paging import AnalyzeHealthcareResult
 
@@ -83,6 +84,7 @@
     'AnalyzeBatchActionsResult',
     'RequestStatistics',
     'AnalyzeBatchActionsType',
+    "AnalyzeBatchActionsError",
 ]
 
 __version__ = VERSION
diff --git a/sdk/textanalytics/azure-ai-textanalytics/azure/ai/textanalytics/_models.py b/sdk/textanalytics/azure-ai-textanalytics/azure/ai/textanalytics/_models.py
index f7e750929e24..6de2ebe510fd 100644
--- a/sdk/textanalytics/azure-ai-textanalytics/azure/ai/textanalytics/_models.py
+++ b/sdk/textanalytics/azure-ai-textanalytics/azure/ai/textanalytics/_models.py
@@ -1171,6 +1171,7 @@ class AnalyzeBatchActionsType(str, Enum):
     RECOGNIZE_PII_ENTITIES = "recognize_pii_entities"  #: PII Entities Recognition action.
     EXTRACT_KEY_PHRASES = "extract_key_phrases"  #: Key Phrase Extraction action.
 
+
 class AnalyzeBatchActionsResult(DictMixin):
     """AnalyzeBatchActionsResult contains the results of a recognize entities action
     on a list of documents. Returned by `begin_analyze_batch_actions`
@@ -1200,6 +1201,31 @@ def __repr__(self):
                 self.completed_on
             )[:1024]
 
+class AnalyzeBatchActionsError(DictMixin):
+    """AnalyzeBatchActionsError is an error object which represents an an
+    error response for an action.
+
+    :ivar error: The action result error.
+    :vartype error: ~azure.ai.textanalytics.TextAnalyticsError
+    :ivar bool is_error: Boolean check for error item when iterating over list of
+        results. Always True for an instance of a DocumentError.
+    """
+
+    def __init__(self, **kwargs):
+        self.error = kwargs.get("error")
+        self.is_error = True
+
+    def __repr__(self):
+        return "AnalyzeBatchActionsError(error={}, is_error={}".format(
+            self.error, self.is_error
+        )
+
+    @classmethod
+    def _from_generated(cls, error):
+        return cls(
+            error=TextAnalyticsError(code=error.code, message=error.message, target=error.target)
+        )
+
 
 class RecognizeEntitiesAction(DictMixin):
     """RecognizeEntitiesAction encapsulates the parameters for starting a long-running Entities Recognition operation.
diff --git a/sdk/textanalytics/azure-ai-textanalytics/azure/ai/textanalytics/_response_handlers.py b/sdk/textanalytics/azure-ai-textanalytics/azure/ai/textanalytics/_response_handlers.py
index d238273107f1..9f3bad15b20c 100644
--- a/sdk/textanalytics/azure-ai-textanalytics/azure/ai/textanalytics/_response_handlers.py
+++ b/sdk/textanalytics/azure-ai-textanalytics/azure/ai/textanalytics/_response_handlers.py
@@ -6,6 +6,7 @@
 
 import json
 import functools
+from collections import defaultdict
 from six.moves.urllib.parse import urlparse, parse_qsl
 from azure.core.exceptions import (
     HttpResponseError,
@@ -33,7 +34,9 @@
     AnalyzeBatchActionsResult,
     RequestStatistics,
     AnalyzeBatchActionsType,
+    AnalyzeBatchActionsError,
     TextDocumentBatchStatistics,
+    _get_indices,
 )
 from ._paging import AnalyzeHealthcareResult, AnalyzeResult
 
@@ -217,23 +220,61 @@ def _num_tasks_in_current_page(returned_tasks_object):
         len(returned_tasks_object.key_phrase_extraction_tasks or [])
     )
 
+def _get_task_type_from_error(error):
+    if "pii" in error.target.lower():
+        return AnalyzeBatchActionsType.RECOGNIZE_PII_ENTITIES
+    if "entity" in error.target.lower():
+        return AnalyzeBatchActionsType.RECOGNIZE_ENTITIES
+    return AnalyzeBatchActionsType.EXTRACT_KEY_PHRASES
+
+def _get_mapped_errors(analyze_job_state):
+    """
+    """
+    mapped_errors = defaultdict(list)
+    if not analyze_job_state.errors:
+        return mapped_errors
+    for error in analyze_job_state.errors:
+        mapped_errors[_get_task_type_from_error(error)].append((_get_error_index(error), error))
+    return mapped_errors
+
+def _get_error_index(error):
+    return _get_indices(error.target)[-1]
+
+def _get_good_result(current_task_type, index_of_task_result, doc_id_order, response_headers, returned_tasks_object):
+    deserialization_callback = _get_deserialization_callback_from_task_type(current_task_type)
+    property_name = _get_property_name_from_task_type(current_task_type)
+    response_task_to_deserialize = getattr(returned_tasks_object, property_name)[index_of_task_result]
+    document_results = deserialization_callback(
+        doc_id_order, response_task_to_deserialize.results, response_headers, lro=True
+    )
+    return AnalyzeBatchActionsResult(
+        document_results=document_results,
+        action_type=current_task_type,
+        completed_on=response_task_to_deserialize.last_update_date_time,
+    )
+
 def get_iter_items(doc_id_order, task_order, response_headers, analyze_job_state):
     iter_items = []
+    task_type_to_index = defaultdict(int)  # need to keep track of how many of each type of tasks we've seen
     returned_tasks_object = analyze_job_state.tasks
+    mapped_errors = _get_mapped_errors(analyze_job_state)
     for current_task_type in task_order:
-        deserialization_callback = _get_deserialization_callback_from_task_type(current_task_type)
-        property_name = _get_property_name_from_task_type(current_task_type)
-        response_task_to_deserialize = getattr(returned_tasks_object, property_name).pop(0)
-        document_results = deserialization_callback(
-            doc_id_order, response_task_to_deserialize.results, response_headers, lro=True
-        )
-        iter_items.append(
-            AnalyzeBatchActionsResult(
-                document_results=document_results,
-                action_type=current_task_type,
-                completed_on=response_task_to_deserialize.last_update_date_time,
+        index_of_task_result = task_type_to_index[current_task_type]
+
+        try:
+            # try to deserailize as error. If fails, we know it's good
+            # kind of a weird way to order things, but we can fail when deserializing
+            # the curr response as an error, not when deserializing as a good response.
+
+            current_task_type_errors = mapped_errors[current_task_type]
+            error = next(err for err in current_task_type_errors if err[0] == index_of_task_result)
+            result = AnalyzeBatchActionsError._from_generated(error[1])  # pylint: disable=protected-access
+        except StopIteration:
+            result = _get_good_result(
+                current_task_type, index_of_task_result, doc_id_order, response_headers, returned_tasks_object
             )
-        )
+        iter_items.append(result)
+        task_type_to_index[current_task_type] += 1
     return iter_items
 
 def analyze_extract_page_data(doc_id_order, task_order, response_headers, analyze_job_state):
diff --git a/sdk/textanalytics/azure-ai-textanalytics/tests/recordings/test_analyze.test_bad_model_version_error_multiple_tasks.yaml b/sdk/textanalytics/azure-ai-textanalytics/tests/recordings/test_analyze.test_bad_model_version_error_multiple_tasks.yaml
index 33e9d69e9025..cf04c6f8bca6 100644
--- a/sdk/textanalytics/azure-ai-textanalytics/tests/recordings/test_analyze.test_bad_model_version_error_multiple_tasks.yaml
+++ b/sdk/textanalytics/azure-ai-textanalytics/tests/recordings/test_analyze.test_bad_model_version_error_multiple_tasks.yaml
@@ -1,8 +1,8 @@
 interactions:
 - request:
     body: '{"tasks": {"entityRecognitionTasks": [{"parameters": {"model-version":
-      "latest", "stringIndexType": "TextElements_v8"}}], "entityRecognitionPiiTasks":
-      [{"parameters": {"model-version": "bad", "stringIndexType": "TextElements_v8"}}],
+      "latest", "stringIndexType": "UnicodeCodePoint"}}], "entityRecognitionPiiTasks":
+      [{"parameters": {"model-version": "bad", "stringIndexType": "UnicodeCodePoint"}}],
       "keyPhraseExtractionTasks": [{"parameters": {"model-version": "bad"}}]}, "analysisInput":
       {"documents": [{"id": "1", "text": "I did not like the hotel we stayed at.",
       "language": "english"}]}}'
@@ -14,7 +14,7 @@ interactions:
       Connection:
       - keep-alive
       Content-Length:
-      - '425'
+      - '427'
       Content-Type:
       - application/json
       User-Agent:
@@ -26,11 +26,11 @@ interactions:
       string: ''
     headers:
       apim-request-id:
-      - adf4dca3-16b5-4770-933c-a430f67482b2
+      - 587ea5f0-0022-4374-9ce3-00e69ea4bd5a
       date:
-      - Tue, 02 Feb 2021 03:17:47 GMT
+      - Thu, 04 Feb 2021 00:39:45 GMT
       operation-location:
-      - https://westus2.api.cognitive.microsoft.com/text/analytics/v3.1-preview.3/analyze/jobs/31e204ac-7571-44b4-877c-c3daa60e595f_637478208000000000
+      - https://westus2.api.cognitive.microsoft.com/text/analytics/v3.1-preview.3/analyze/jobs/d38bd330-9dcb-4e3a-a880-488c36f648ff_637479936000000000
       strict-transport-security:
       - max-age=31536000; includeSubDomains; preload
       transfer-encoding:
@@ -38,7 +38,7 @@ interactions:
       x-content-type-options:
       - nosniff
       x-envoy-upstream-service-time:
-      - '31'
+      - '32'
     status:
       code: 202
       message: Accepted
@@ -54,21 +54,21 @@ interactions:
       User-Agent:
       - azsdk-python-ai-textanalytics/5.1.0b5 Python/3.8.5 (macOS-10.13.6-x86_64-i386-64bit)
     method: GET
-    uri: https://westus2.api.cognitive.microsoft.com/text/analytics/v3.1-preview.3/analyze/jobs/31e204ac-7571-44b4-877c-c3daa60e595f_637478208000000000
+    uri: https://westus2.api.cognitive.microsoft.com/text/analytics/v3.1-preview.3/analyze/jobs/d38bd330-9dcb-4e3a-a880-488c36f648ff_637479936000000000
   response:
     body:
-      string: '{"jobId":"31e204ac-7571-44b4-877c-c3daa60e595f_637478208000000000","lastUpdateDateTime":"2021-02-02T03:17:48Z","createdDateTime":"2021-02-02T03:17:48Z","expirationDateTime":"2021-02-03T03:17:48Z","status":"running","errors":[{"code":"InvalidRequest","message":"Job
+      string: '{"jobId":"d38bd330-9dcb-4e3a-a880-488c36f648ff_637479936000000000","lastUpdateDateTime":"2021-02-04T00:39:48Z","createdDateTime":"2021-02-04T00:39:46Z","expirationDateTime":"2021-02-05T00:39:46Z","status":"running","errors":[{"code":"InvalidRequest","message":"Job
         task parameter value bad is not supported for model-version parameter for
         job task type PersonallyIdentifiableInformation. Supported values latest,2020-07-01.","target":"#/tasks/entityRecognitionPiiTasks/0"},{"code":"InvalidRequest","message":"Job
         task parameter value bad is not supported for model-version parameter for
-        job task type KeyPhraseExtraction. Supported values latest,2020-07-01.","target":"#/tasks/keyPhraseExtractionTasks/0"}],"tasks":{"details":{"lastUpdateDateTime":"2021-02-02T03:17:48Z"},"completed":0,"failed":2,"inProgress":1,"total":3,"entityRecognitionPiiTasks":[{"lastUpdateDateTime":"2021-02-02T03:17:48.4237152Z","results":{"documents":[],"errors":[],"modelVersion":""}}],"keyPhraseExtractionTasks":[{"lastUpdateDateTime":"2021-02-02T03:17:48.4237152Z","results":{"documents":[],"errors":[],"modelVersion":""}}]}}'
+        job task type KeyPhraseExtraction. Supported values latest,2020-07-01.","target":"#/tasks/keyPhraseExtractionTasks/0"}],"tasks":{"details":{"lastUpdateDateTime":"2021-02-04T00:39:48Z"},"completed":0,"failed":2,"inProgress":1,"total":3,"entityRecognitionPiiTasks":[{"lastUpdateDateTime":"2021-02-04T00:39:48.902624Z","results":{"documents":[],"errors":[],"modelVersion":""}}],"keyPhraseExtractionTasks":[{"lastUpdateDateTime":"2021-02-04T00:39:48.902624Z","results":{"documents":[],"errors":[],"modelVersion":""}}]}}'
     headers:
       apim-request-id:
-      - 61f5aa3d-019e-4483-a4b9-37c4eb5305c3
+      - 3086ed82-cfb7-4f37-b68b-e800ba33188c
       content-type:
       - application/json; charset=utf-8
       date:
-      - Tue, 02 Feb 2021 03:17:53 GMT
+      - Thu, 04 Feb 2021 00:39:51 GMT
       strict-transport-security:
       - max-age=31536000; includeSubDomains; preload
       transfer-encoding:
@@ -76,7 +76,7 @@ interactions:
       x-content-type-options:
       - nosniff
       x-envoy-upstream-service-time:
-      - '46'
+      - '729'
     status:
       code: 200
       message: OK
@@ -92,21 +92,21 @@ interactions:
       User-Agent:
       - azsdk-python-ai-textanalytics/5.1.0b5 Python/3.8.5 (macOS-10.13.6-x86_64-i386-64bit)
     method: GET
-    uri: https://westus2.api.cognitive.microsoft.com/text/analytics/v3.1-preview.3/analyze/jobs/31e204ac-7571-44b4-877c-c3daa60e595f_637478208000000000
+    uri: https://westus2.api.cognitive.microsoft.com/text/analytics/v3.1-preview.3/analyze/jobs/d38bd330-9dcb-4e3a-a880-488c36f648ff_637479936000000000
   response:
     body:
-      string: '{"jobId":"31e204ac-7571-44b4-877c-c3daa60e595f_637478208000000000","lastUpdateDateTime":"2021-02-02T03:17:48Z","createdDateTime":"2021-02-02T03:17:48Z","expirationDateTime":"2021-02-03T03:17:48Z","status":"running","errors":[{"code":"InvalidRequest","message":"Job
+      string: '{"jobId":"d38bd330-9dcb-4e3a-a880-488c36f648ff_637479936000000000","lastUpdateDateTime":"2021-02-04T00:39:48Z","createdDateTime":"2021-02-04T00:39:46Z","expirationDateTime":"2021-02-05T00:39:46Z","status":"running","errors":[{"code":"InvalidRequest","message":"Job
         task parameter value bad is not supported for model-version parameter for
         job task type PersonallyIdentifiableInformation. Supported values latest,2020-07-01.","target":"#/tasks/entityRecognitionPiiTasks/0"},{"code":"InvalidRequest","message":"Job
         task parameter value bad is not supported for model-version parameter for
-        job task type KeyPhraseExtraction. Supported values latest,2020-07-01.","target":"#/tasks/keyPhraseExtractionTasks/0"}],"tasks":{"details":{"lastUpdateDateTime":"2021-02-02T03:17:48Z"},"completed":0,"failed":2,"inProgress":1,"total":3,"entityRecognitionPiiTasks":[{"lastUpdateDateTime":"2021-02-02T03:17:48.4237152Z","results":{"documents":[],"errors":[],"modelVersion":""}}],"keyPhraseExtractionTasks":[{"lastUpdateDateTime":"2021-02-02T03:17:48.4237152Z","results":{"documents":[],"errors":[],"modelVersion":""}}]}}'
+        job task type KeyPhraseExtraction. Supported values latest,2020-07-01.","target":"#/tasks/keyPhraseExtractionTasks/0"}],"tasks":{"details":{"lastUpdateDateTime":"2021-02-04T00:39:48Z"},"completed":0,"failed":2,"inProgress":1,"total":3,"entityRecognitionPiiTasks":[{"lastUpdateDateTime":"2021-02-04T00:39:48.902624Z","results":{"documents":[],"errors":[],"modelVersion":""}}],"keyPhraseExtractionTasks":[{"lastUpdateDateTime":"2021-02-04T00:39:48.902624Z","results":{"documents":[],"errors":[],"modelVersion":""}}]}}'
     headers:
       apim-request-id:
-      - dbd02081-080c-4d29-ab65-4bf00f326c3f
+      - 273f60eb-e1d4-4bb1-ba84-8d6e9169334d
       content-type:
       - application/json; charset=utf-8
       date:
-      - Tue, 02 Feb 2021 03:17:58 GMT
+      - Thu, 04 Feb 2021 00:39:57 GMT
       strict-transport-security:
       - max-age=31536000; includeSubDomains; preload
       transfer-encoding:
@@ -114,7 +114,7 @@ interactions:
       x-content-type-options:
       - nosniff
       x-envoy-upstream-service-time:
-      - '33'
+      - '197'
     status:
       code: 200
       message: OK
@@ -130,21 +130,21 @@ interactions:
       User-Agent:
       - azsdk-python-ai-textanalytics/5.1.0b5 Python/3.8.5 (macOS-10.13.6-x86_64-i386-64bit)
     method: GET
-    uri: https://westus2.api.cognitive.microsoft.com/text/analytics/v3.1-preview.3/analyze/jobs/31e204ac-7571-44b4-877c-c3daa60e595f_637478208000000000
+    uri: https://westus2.api.cognitive.microsoft.com/text/analytics/v3.1-preview.3/analyze/jobs/d38bd330-9dcb-4e3a-a880-488c36f648ff_637479936000000000
   response:
     body:
-      string: '{"jobId":"31e204ac-7571-44b4-877c-c3daa60e595f_637478208000000000","lastUpdateDateTime":"2021-02-02T03:17:48Z","createdDateTime":"2021-02-02T03:17:48Z","expirationDateTime":"2021-02-03T03:17:48Z","status":"running","errors":[{"code":"InvalidRequest","message":"Job
+      string: '{"jobId":"d38bd330-9dcb-4e3a-a880-488c36f648ff_637479936000000000","lastUpdateDateTime":"2021-02-04T00:39:48Z","createdDateTime":"2021-02-04T00:39:46Z","expirationDateTime":"2021-02-05T00:39:46Z","status":"running","errors":[{"code":"InvalidRequest","message":"Job
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         job task type PersonallyIdentifiableInformation. Supported values latest,2020-07-01.","target":"#/tasks/entityRecognitionPiiTasks/0"},{"code":"InvalidRequest","message":"Job
         task parameter value bad is not supported for model-version parameter for
-        job task type KeyPhraseExtraction. Supported values latest,2020-07-01.","target":"#/tasks/keyPhraseExtractionTasks/0"}],"tasks":{"details":{"lastUpdateDateTime":"2021-02-02T03:17:48Z"},"completed":0,"failed":2,"inProgress":1,"total":3,"entityRecognitionPiiTasks":[{"lastUpdateDateTime":"2021-02-02T03:17:48.4237152Z","results":{"documents":[],"errors":[],"modelVersion":""}}],"keyPhraseExtractionTasks":[{"lastUpdateDateTime":"2021-02-02T03:17:48.4237152Z","results":{"documents":[],"errors":[],"modelVersion":""}}]}}'
+        job task type KeyPhraseExtraction. Supported values latest,2020-07-01.","target":"#/tasks/keyPhraseExtractionTasks/0"}],"tasks":{"details":{"lastUpdateDateTime":"2021-02-04T00:39:48Z"},"completed":0,"failed":2,"inProgress":1,"total":3,"entityRecognitionPiiTasks":[{"lastUpdateDateTime":"2021-02-04T00:39:48.902624Z","results":{"documents":[],"errors":[],"modelVersion":""}}],"keyPhraseExtractionTasks":[{"lastUpdateDateTime":"2021-02-04T00:39:48.902624Z","results":{"documents":[],"errors":[],"modelVersion":""}}]}}'
     headers:
       apim-request-id:
-      - 2d1883db-4bb4-4e4b-a43a-81eb0daa814d
+      - 604b41b4-f902-4031-bc7d-996264020f80
       content-type:
       - application/json; charset=utf-8
       date:
-      - Tue, 02 Feb 2021 03:18:03 GMT
+      - Thu, 04 Feb 2021 00:40:02 GMT
       strict-transport-security:
       - max-age=31536000; includeSubDomains; preload
       transfer-encoding:
@@ -152,7 +152,7 @@ interactions:
       x-content-type-options:
       - nosniff
       x-envoy-upstream-service-time:
-      - '41'
+      - '65'
     status:
       code: 200
       message: OK
@@ -168,21 +168,59 @@ interactions:
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-    uri: https://westus2.api.cognitive.microsoft.com/text/analytics/v3.1-preview.3/analyze/jobs/31e204ac-7571-44b4-877c-c3daa60e595f_637478208000000000
+    uri: https://westus2.api.cognitive.microsoft.com/text/analytics/v3.1-preview.3/analyze/jobs/d38bd330-9dcb-4e3a-a880-488c36f648ff_637479936000000000
   response:
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+      string: '{"jobId":"d38bd330-9dcb-4e3a-a880-488c36f648ff_637479936000000000","lastUpdateDateTime":"2021-02-04T00:39:48Z","createdDateTime":"2021-02-04T00:39:46Z","expirationDateTime":"2021-02-05T00:39:46Z","status":"running","errors":[{"code":"InvalidRequest","message":"Job
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+        job task type KeyPhraseExtraction. Supported values latest,2020-07-01.","target":"#/tasks/keyPhraseExtractionTasks/0"}],"tasks":{"details":{"lastUpdateDateTime":"2021-02-04T00:39:48Z"},"completed":0,"failed":2,"inProgress":1,"total":3,"entityRecognitionPiiTasks":[{"lastUpdateDateTime":"2021-02-04T00:39:48.902624Z","results":{"documents":[],"errors":[],"modelVersion":""}}],"keyPhraseExtractionTasks":[{"lastUpdateDateTime":"2021-02-04T00:39:48.902624Z","results":{"documents":[],"errors":[],"modelVersion":""}}]}}'
     headers:
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       content-type:
       - application/json; charset=utf-8
       date:
-      - Tue, 02 Feb 2021 03:18:08 GMT
+      - Thu, 04 Feb 2021 00:40:07 GMT
+      strict-transport-security:
+      - max-age=31536000; includeSubDomains; preload
+      transfer-encoding:
+      - chunked
+      x-content-type-options:
+      - nosniff
+      x-envoy-upstream-service-time:
+      - '151'
+    status:
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+      message: OK
+- request:
+    body: null
+    headers:
+      Accept:
+      - '*/*'
+      Accept-Encoding:
+      - gzip, deflate
+      Connection:
+      - keep-alive
+      User-Agent:
+      - azsdk-python-ai-textanalytics/5.1.0b5 Python/3.8.5 (macOS-10.13.6-x86_64-i386-64bit)
+    method: GET
+    uri: https://westus2.api.cognitive.microsoft.com/text/analytics/v3.1-preview.3/analyze/jobs/d38bd330-9dcb-4e3a-a880-488c36f648ff_637479936000000000
+  response:
+    body:
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 version: 1
diff --git a/sdk/textanalytics/azure-ai-textanalytics/tests/test_analyze.py b/sdk/textanalytics/azure-ai-textanalytics/tests/test_analyze.py
index d8c59e273047..a3fb0b5560e0 100644
--- a/sdk/textanalytics/azure-ai-textanalytics/tests/test_analyze.py
+++ b/sdk/textanalytics/azure-ai-textanalytics/tests/test_analyze.py
@@ -553,11 +553,12 @@ def test_bad_model_version_error_multiple_tasks(self, client):  # TODO: verify b
         ).result()
 
         action_results = list(response)
-        assert all([action_result for action_result in action_results if len(action_result.document_results) == len(docs)])
-
-        for action_result in action_results:
-            # This is not the optimal way to represent this failure.  We are discussing a solution with the service team.
-            assert all(doc for doc in action_result.document_results if doc.is_error)
+        assert action_results[0].is_error == False
+        assert action_results[0].action_type == AnalyzeBatchActionsType.RECOGNIZE_ENTITIES
+        assert action_results[1].is_error == True
+        assert action_results[1].error.code == "InvalidRequest"
+        assert action_results[2].is_error == True
+        assert action_results[2].error.code == "InvalidRequest"
 
     @GlobalTextAnalyticsAccountPreparer()
     @TextAnalyticsClientPreparer()
diff --git a/sdk/textanalytics/azure-ai-textanalytics/tests/test_analyze_async.py b/sdk/textanalytics/azure-ai-textanalytics/tests/test_analyze_async.py
index b382cc7cc950..29b0fbf453d6 100644
--- a/sdk/textanalytics/azure-ai-textanalytics/tests/test_analyze_async.py
+++ b/sdk/textanalytics/azure-ai-textanalytics/tests/test_analyze_async.py
@@ -578,11 +578,12 @@ async def test_bad_model_version_error_multiple_tasks(self, client):  # TODO: ve
             async for p in response:
                 action_results.append(p)
 
-            assert all([action_result for action_result in action_results if len(action_result.document_results) == len(docs)])
-
-            for action_result in action_results:
-                # This is not the optimal way to represent this failure.  We are discussing a solution with the service team.
-                assert all(doc for doc in action_result.document_results if doc.is_error)
+            assert action_results[0].is_error == False
+            assert action_results[0].action_type == AnalyzeBatchActionsType.RECOGNIZE_ENTITIES
+            assert action_results[1].is_error == True
+            assert action_results[1].error.code == "InvalidRequest"
+            assert action_results[2].is_error == True
+            assert action_results[2].error.code == "InvalidRequest"
 
     @GlobalTextAnalyticsAccountPreparer()
     @TextAnalyticsClientPreparer()