diff --git a/sdk/metricsadvisor/azure-ai-metricsadvisor/azure/ai/metricsadvisor/models/_models.py b/sdk/metricsadvisor/azure-ai-metricsadvisor/azure/ai/metricsadvisor/models/_models.py
index 0f854836e6d..b77f9f2c496 100644
--- a/sdk/metricsadvisor/azure-ai-metricsadvisor/azure/ai/metricsadvisor/models/_models.py
+++ b/sdk/metricsadvisor/azure-ai-metricsadvisor/azure/ai/metricsadvisor/models/_models.py
@@ -2356,7 +2356,7 @@ def __init__(
         super(Incident, self).__init__(**kwargs)
         self.metric_id = kwargs.get('metric_id', None)
         self.detection_configuration_id = kwargs.get('detection_configuration_id', None)
-        self.incident_id = kwargs.get('incident_id', None)
+        self.id = kwargs.get('id', None)
         self.start_time = kwargs.get('start_time', None)
         self.last_time = kwargs.get('last_time', None)
         self.dimension_key = kwargs.get('dimension_key', None)
@@ -2364,11 +2364,11 @@ def __init__(
         self.status = kwargs.get('status', None)
 
     def __repr__(self):
-        return "Incident(metric_id={}, detection_configuration_id={}, incident_id={}, start_time={}, last_time={}, " \
+        return "Incident(metric_id={}, detection_configuration_id={}, id={}, start_time={}, last_time={}, " \
                "dimension_key={}, severity={}, status={})".format(
                     self.metric_id,
                     self.detection_configuration_id,
-                    self.incident_id,
+                    self.id,
                     self.start_time,
                     self.last_time,
                     self.dimension_key,
@@ -2390,7 +2390,7 @@ def _from_generated(cls, incident_result):
         return cls(
             metric_id=incident_result.metric_id,
             detection_configuration_id=incident_result.anomaly_detection_configuration_id,
-            incident_id=incident_result.incident_id,
+            id=incident_result.incident_id,
             start_time=incident_result.start_time,
             last_time=incident_result.last_time,
             dimension_key=dimension_key,
@@ -2565,9 +2565,6 @@ def _to_generated(self):
         dimension_filter = FeedbackDimensionFilter(dimension=self.dimension_key)
         value = AnomalyFeedbackValue(anomaly_value=self.value)
         return _AnomalyFeedback(
-            feedback_id=self.id,
-            created_time=self.created_time,
-            user_principal=self.user_principal,
             metric_id=self.metric_id,
             dimension_filter=dimension_filter,
             start_time=self.start_time,
@@ -2675,9 +2672,6 @@ def _to_generated(self):
         dimension_filter = FeedbackDimensionFilter(dimension=self.dimension_key)
         value = ChangePointFeedbackValue(change_point_value=self.value)
         return _ChangePointFeedback(
-            feedback_id=self.id,
-            created_time=self.created_time,
-            user_principal=self.user_principal,
             metric_id=self.metric_id,
             dimension_filter=dimension_filter,
             start_time=self.start_time,
@@ -2783,9 +2777,6 @@ def _to_generated(self):
         dimension_filter = FeedbackDimensionFilter(dimension=self.dimension_key)
         value = CommentFeedbackValue(comment_value=self.value)
         return _CommentFeedback(
-            feedback_id=self.id,
-            created_time=self.created_time,
-            user_principal=self.user_principal,
             metric_id=self.metric_id,
             dimension_filter=dimension_filter,
             start_time=self.start_time,
@@ -2885,9 +2876,6 @@ def _to_generated(self):
         dimension_filter = FeedbackDimensionFilter(dimension=self.dimension_key)
         value = PeriodFeedbackValue(period_type=self.period_type, period_value=self.value)
         return _PeriodFeedback(
-            feedback_id=self.id,
-            created_time=self.created_time,
-            user_principal=self.user_principal,
             metric_id=self.metric_id,
             dimension_filter=dimension_filter,
             value=value,