diff --git a/sample/sagemaker/2017-07-24/service-2.json b/sample/sagemaker/2017-07-24/service-2.json
index 26c2fb3..d0740d2 100644
--- a/sample/sagemaker/2017-07-24/service-2.json
+++ b/sample/sagemaker/2017-07-24/service-2.json
@@ -7653,7 +7653,7 @@
       "members":{
         "Arn":{
           "shape":"String1024",
-          "documentation":"<p> The Amazon Resource Name (ARN) of the metadata for the Amazon Bedrock custom model deployment. </p>"
+          "documentation":"<p> The Amazon Resource Name (ARN) for the Amazon Bedrock custom model deployment. </p>"
         }
       },
       "documentation":"<p> The metadata of the Amazon Bedrock custom model deployment. </p>"
@@ -7663,7 +7663,7 @@
       "members":{
         "Arn":{
           "shape":"String1024",
-          "documentation":"<p> The Amazon Resource Name (ARN) of the Amazon Bedrock custom model metadata. </p>"
+          "documentation":"<p> The Amazon Resource Name (ARN) of the Amazon Bedrock custom model. </p>"
         }
       },
       "documentation":"<p> The metadata of the Amazon Bedrock custom model. </p>"
@@ -7673,7 +7673,7 @@
       "members":{
         "Arn":{
           "shape":"String1024",
-          "documentation":"<p> The Amazon Resource Name (ARN) of the Amazon Bedrock model import metadata. </p>"
+          "documentation":"<p> The Amazon Resource Name (ARN) of the Amazon Bedrock model import. </p>"
         }
       },
       "documentation":"<p> The metadata of the Amazon Bedrock model import. </p>"
@@ -7683,7 +7683,7 @@
       "members":{
         "Arn":{
           "shape":"String1024",
-          "documentation":"<p> The Amazon Resource Name (ARN) of the Amazon Bedrock provisioned model throughput metadata. </p>"
+          "documentation":"<p> The Amazon Resource Name (ARN) of the Amazon Bedrock provisioned model throughput. </p>"
         }
       },
       "documentation":"<p> The metadata of the Amazon Bedrock provisioned model throughput. </p>"
@@ -25827,7 +25827,7 @@
       "members":{
         "Arn":{
           "shape":"String2048",
-          "documentation":"<p> The Amazon Resource Name (ARN) of the inference component metadata. </p>"
+          "documentation":"<p> The Amazon Resource Name (ARN) of the inference component. </p>"
         }
       },
       "documentation":"<p> The metadata of the inference component. </p>"
@@ -27553,19 +27553,19 @@
       "members":{
         "ActionArns":{
           "shape":"MapString2048",
-          "documentation":"<p> The Amazon Resource Name (ARN) of the lineage metadata action. </p>"
+          "documentation":"<p> The Amazon Resource Name (ARN) of the lineage action. </p>"
         },
         "ArtifactArns":{
           "shape":"MapString2048",
-          "documentation":"<p> The Amazon Resource Name (ARN) of the lineage metadata artifact. </p>"
+          "documentation":"<p> The Amazon Resource Name (ARN) of the lineage artifact. </p>"
         },
         "ContextArns":{
           "shape":"MapString2048",
-          "documentation":"<p> The Amazon Resource Name (ARN) of the lineage metadata context. </p>"
+          "documentation":"<p> The Amazon Resource Name (ARN) of the lineage context. </p>"
         },
         "Associations":{
           "shape":"AssociationInfoList",
-          "documentation":"<p> The lineage metadata associations. </p>"
+          "documentation":"<p> The lineage associations. </p>"
         }
       },
       "documentation":"<p> The metadata that tracks relationships between ML artifacts, actions, and contexts. </p>"
@@ -33759,12 +33759,12 @@
         },
         "IsCheckpoint":{
           "shape":"Boolean",
-          "documentation":"<p> The checkpoint of the model package. </p>",
+          "documentation":"<p> Specifies whether the model data is a training checkpoint. </p>",
           "box":true
         },
         "BaseModel":{
           "shape":"BaseModel",
-          "documentation":"<p> The base model of the package. </p>"
+          "documentation":"<p> Identifies the foundation model that was used as the starting point for model customization. </p>"
         }
       },
       "documentation":"<p>Describes the Docker container for the model package.</p>"
@@ -40886,10 +40886,6 @@
     },
     "SearchTrainingPlanOfferingsRequest":{
       "type":"structure",
-      "required":[
-        "DurationHours",
-        "TargetResources"
-      ],
       "members":{
         "InstanceType":{
           "shape":"ReservedCapacityInstanceType",
@@ -41942,7 +41938,7 @@
         },
         "MlflowExperimentName":{
           "shape":"MlflowExperimentEntityName",
-          "documentation":"<p> The MLflow experiment name of the start execution. </p>"
+          "documentation":"<p> The MLflow experiment name of the pipeline execution. </p>"
         }
       }
     },
@@ -45247,6 +45243,10 @@
         "Id":{
           "shape":"String",
           "documentation":"<p>The unique identifier of the UltraServer.</p>"
+        },
+        "Type":{
+          "shape":"String",
+          "documentation":"<p>The type of the UltraServer.</p>"
         }
       },
       "documentation":"<p>Contains information about the UltraServer object.</p>"
diff --git a/src/sagemaker_core/main/code_injection/shape_dag.py b/src/sagemaker_core/main/code_injection/shape_dag.py
index 235ac0d..c9f3808 100644
--- a/src/sagemaker_core/main/code_injection/shape_dag.py
+++ b/src/sagemaker_core/main/code_injection/shape_dag.py
@@ -16417,7 +16417,10 @@
         "type": "structure",
     },
     "UltraServerInfo": {
-        "members": [{"name": "Id", "shape": "String", "type": "string"}],
+        "members": [
+            {"name": "Id", "shape": "String", "type": "string"},
+            {"name": "Type", "shape": "String", "type": "string"},
+        ],
         "type": "structure",
     },
     "UltraServerSummary": {
diff --git a/src/sagemaker_core/main/shapes.py b/src/sagemaker_core/main/shapes.py
index 482f601..be855cf 100644
--- a/src/sagemaker_core/main/shapes.py
+++ b/src/sagemaker_core/main/shapes.py
@@ -687,8 +687,8 @@ class ModelPackageContainerDefinition(Base):
     nearest_model_name: The name of a pre-trained machine learning benchmarked by Amazon SageMaker Inference Recommender model that matches your model. You can find a list of benchmarked models by calling ListModelMetadata.
     additional_s3_data_source: The additional data source that is used during inference in the Docker container for your model package.
     model_data_e_tag: The ETag associated with Model Data URL.
-    is_checkpoint:  The checkpoint of the model package.
-    base_model:  The base model of the package.
+    is_checkpoint:  Specifies whether the model data is a training checkpoint.
+    base_model:  Identifies the foundation model that was used as the starting point for model customization.
     """
 
     container_hostname: Optional[str] = Unassigned()
@@ -2890,7 +2890,7 @@ class BedrockCustomModelDeploymentMetadata(Base):
 
     Attributes
     ----------------------
-    arn:  The Amazon Resource Name (ARN) of the metadata for the Amazon Bedrock custom model deployment.
+    arn:  The Amazon Resource Name (ARN) for the Amazon Bedrock custom model deployment.
     """
 
     arn: Optional[str] = Unassigned()
@@ -2903,7 +2903,7 @@ class BedrockCustomModelMetadata(Base):
 
     Attributes
     ----------------------
-    arn:  The Amazon Resource Name (ARN) of the Amazon Bedrock custom model metadata.
+    arn:  The Amazon Resource Name (ARN) of the Amazon Bedrock custom model.
     """
 
     arn: Optional[str] = Unassigned()
@@ -2916,7 +2916,7 @@ class BedrockModelImportMetadata(Base):
 
     Attributes
     ----------------------
-    arn:  The Amazon Resource Name (ARN) of the Amazon Bedrock model import metadata.
+    arn:  The Amazon Resource Name (ARN) of the Amazon Bedrock model import.
     """
 
     arn: Optional[str] = Unassigned()
@@ -2929,7 +2929,7 @@ class BedrockProvisionedModelThroughputMetadata(Base):
 
     Attributes
     ----------------------
-    arn:  The Amazon Resource Name (ARN) of the Amazon Bedrock provisioned model throughput metadata.
+    arn:  The Amazon Resource Name (ARN) of the Amazon Bedrock provisioned model throughput.
     """
 
     arn: Optional[str] = Unassigned()
@@ -4146,9 +4146,11 @@ class UltraServerInfo(Base):
     Attributes
     ----------------------
     id: The unique identifier of the UltraServer.
+    type: The type of the UltraServer.
     """
 
     id: Optional[str] = Unassigned()
+    type: Optional[str] = Unassigned()
 
 
 class ClusterNodeDetails(Base):
@@ -11745,7 +11747,7 @@ class InferenceComponentMetadata(Base):
 
     Attributes
     ----------------------
-    arn:  The Amazon Resource Name (ARN) of the inference component metadata.
+    arn:  The Amazon Resource Name (ARN) of the inference component.
     """
 
     arn: Optional[str] = Unassigned()
@@ -12008,10 +12010,10 @@ class LineageMetadata(Base):
 
     Attributes
     ----------------------
-    action_arns:  The Amazon Resource Name (ARN) of the lineage metadata action.
-    artifact_arns:  The Amazon Resource Name (ARN) of the lineage metadata artifact.
-    context_arns:  The Amazon Resource Name (ARN) of the lineage metadata context.
-    associations:  The lineage metadata associations.
+    action_arns:  The Amazon Resource Name (ARN) of the lineage action.
+    artifact_arns:  The Amazon Resource Name (ARN) of the lineage artifact.
+    context_arns:  The Amazon Resource Name (ARN) of the lineage context.
+    associations:  The lineage associations.
     """
 
     action_arns: Optional[Dict[str, str]] = Unassigned()