AWS sagemaker documentation change

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

File: sagemaker/latest/dg/distributed-troubleshooting-data-parallel.md

Summary

Removed SageMaker Python SDK v3 headers and legacy SDK v2 code examples related to checkpoint configuration.

Security assessment

Changes are documentation cleanup of outdated SDK references. No security implications or security features are introduced or modified.

Diff

diff --git a/sagemaker/latest/dg/distributed-troubleshooting-data-parallel.md b/sagemaker/latest/dg/distributed-troubleshooting-data-parallel.md
index 74e1e17f2..2af6c8b03 100644
--- a//sagemaker/latest/dg/distributed-troubleshooting-data-parallel.md
+++ b//sagemaker/latest/dg/distributed-troubleshooting-data-parallel.md
@@ -43,3 +42,0 @@ This is due to an internal error between Debugger and checkpoints, which occurs
-SageMaker Python SDK v3
-    
-    
@@ -62,19 +58,0 @@ SageMaker Python SDK v3
-SageMaker Python SDK v2 (Legacy)
-    
-    
-        bucket=sagemaker.Session().default_bucket()
-    base_job_name="sagemaker-checkpoint-test"
-    checkpoint_in_bucket="checkpoints"
-    
-    # The S3 URI to store the checkpoints
-    checkpoint_s3_bucket="s3://{}/{}/{}".format(bucket, base_job_name, checkpoint_in_bucket)
-    
-    estimator = TensorFlow(
-        ...
-    
-        distribution={"smdistributed": {"dataparallel": { "enabled": True }}},
-        checkpoint_s3_uri=checkpoint_s3_bucket,
-        checkpoint_local_path="/opt/ml/checkpoints",
-        debugger_hook_config=False
-    )
-