AWS sagemaker documentation change
Summary
Updated code examples for opting out of metadata collection, adding separate examples for SageMaker Python SDK v3 (ModelTrainer) and v2, and corrected a documentation link
Security assessment
The change enhances documentation about opting out of metadata collection (a privacy/security feature) but shows no evidence of addressing a specific security vulnerability. It improves clarity of existing security controls without patching vulnerabilities.
Diff
diff --git a/sagemaker/latest/dg/data-privacy.md b/sagemaker/latest/dg/data-privacy.md index 590b2f580..a69a4eddb 100644 --- a//sagemaker/latest/dg/data-privacy.md +++ b//sagemaker/latest/dg/data-privacy.md @@ -80 +80,18 @@ To opt out of metadata collection using the SDK for Python (Boto3), set the envi -To opt out of metadata collection using the SageMaker Python SDK, set the environment variable `OPT_OUT_TRACKING` to `1` inside a SageMaker AI estimator as shown in the following code example. +To opt out of metadata collection using the SageMaker Python SDK, set the environment variable `OPT_OUT_TRACKING` to `1` inside a SageMaker AI ModelTrainer as shown in the following code example. + +SageMaker Python SDK v3 + + + + sagemaker.train.ModelTrainer( + image_uri='path_to_container', + role='rolearn', + instance_count=1, + instance_type='ml.c5.xlarge', + environment={ + 'OPT_OUT_TRACKING': '1' + }, + ) + +SageMaker Python SDK v2 (Legacy) + @@ -106 +123 @@ The following code example shows how opt out of tracking account-wide. -For more information about how to opt out of tracking account-wide, see [Configuring and using defaults with the SageMaker Python SDK](https://sagemaker.readthedocs.io/en/stable/overview.html#id22). +For more information about how to opt out of tracking account-wide, see [Configuring and using defaults with the SageMaker Python SDK](https://sagemaker.readthedocs.io/en/stable/).