AWS sagemaker documentation change

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

File: sagemaker/latest/dg/processing-container-run-scripts.md

Summary

Removed legacy SageMaker Python SDK v2 code example for script processing

Security assessment

Changes involve removing an outdated implementation example. No security-related content was added or modified, and there's no evidence of security vulnerability fixes in the processing container documentation.

Diff

diff --git a/sagemaker/latest/dg/processing-container-run-scripts.md b/sagemaker/latest/dg/processing-container-run-scripts.md
index c0ff5e8d3..1f4f8bc54 100644
--- a//sagemaker/latest/dg/processing-container-run-scripts.md
+++ b//sagemaker/latest/dg/processing-container-run-scripts.md
@@ -47,3 +46,0 @@ Before using the following examples, you need to have your own input data and a
-SageMaker Python SDK v3
-    
-    
@@ -95,19 +91,0 @@ SageMaker Python SDK v3
-SageMaker Python SDK v2 (Legacy)
-    
-    
-        from sagemaker.processing import ScriptProcessor, ProcessingInput, ProcessingOutput
-    
-    script_processor = ScriptProcessor(command=['python3'],
-                    image_uri='image_uri',
-                    role='role_arn',
-                    instance_count=1,
-                    instance_type='ml.m5.xlarge')
-    
-    script_processor.run(code='preprocessing.py',
-                         inputs=[ProcessingInput(
-                            source='s3://path/to/my/input-data.csv',
-                            destination='/opt/ml/processing/input')],
-                         outputs=[ProcessingOutput(source='/opt/ml/processing/output/train'),
-                                   ProcessingOutput(source='/opt/ml/processing/output/validation'),
-                                   ProcessingOutput(source='/opt/ml/processing/output/test')])
-