AWS sagemaker documentation change

Service: sagemaker · 2026-07-01 · Documentation low

File: sagemaker/latest/dg/mlflow-track-experiments-model-deployment.md

Summary

Removed legacy SageMaker Python SDK v2 code examples and empty SageMaker Python SDK v3 section

Security assessment

The changes involve removing outdated code samples and empty sections. There's no evidence of security vulnerability fixes, security-related configurations, or security feature documentation. The removed content was purely SDK implementation examples without security implications.

Diff

diff --git a/sagemaker/latest/dg/mlflow-track-experiments-model-deployment.md b/sagemaker/latest/dg/mlflow-track-experiments-model-deployment.md
index 2f729e6f4..ffe18d236 100644
--- a//sagemaker/latest/dg/mlflow-track-experiments-model-deployment.md
+++ b//sagemaker/latest/dg/mlflow-track-experiments-model-deployment.md
@@ -70,3 +69,0 @@ Use the following code example for reference. For end-to-end examples that show
-SageMaker Python SDK v3
-    
-    
@@ -96,26 +92,0 @@ SageMaker Python SDK v3
-SageMaker Python SDK v2 (Legacy)
-    
-    
-    
-    from sagemaker.serve import ModelBuilder
-    from sagemaker.serve.mode.function_pointers import Mode
-    from sagemaker.serve import SchemaBuilder
-    
-    my_schema = SchemaBuilder(
-        sample_input=sample_input, 
-        sample_output=sample_output
-    )
-    
-    model_builder = ModelBuilder(
-        mode=Mode.SAGEMAKER_ENDPOINT,
-        schema_builder=my_schema,
-        role_arn="Your-service-role-ARN",
-        model_metadata={
-            # both model path and tracking server ARN are required if you use an mlflow run ID or mlflow model registry path as input
-            "MLFLOW_MODEL_PATH": "models:/sklearn-model/1"
-            "MLFLOW_TRACKING_ARN": "arn:aws:sagemaker:region:account-id:mlflow-tracking-server/tracking-server-name"
-        }
-    )
-    model = model_builder.build()
-    predictor = model.deploy( initial_instance_count=1, instance_type="ml.c6i.xlarge" )
-