AWS Certified Machine Learning Engineer – Associate (MLA-C01) — Question 122

A company runs an ML model on Amazon SageMaker. The company uses an automatic process that makes API calls to create training jobs for the model. The company has new compliance rules that prohibit the collection of aggregated metadata from training jobs.

Which solution will prevent SageMaker from collecting metadata from the training jobs?

Answer options

• A. Opt out of metadata tracking for any training job that is submitted.
• B. Ensure that training jobs are running in a private subnet in a custom VPC.
• C. Encrypt the training data with an AWS Key Management Service (AWS KMS) customer managed key.
• D. Reconfigure the training jobs to use only AWS Nitro instances.

Correct answer: A

Explanation

The correct answer is A because opting out of metadata tracking directly addresses the requirement to prevent the collection of aggregated metadata. The other options, while they may enhance security or privacy, do not specifically stop SageMaker from collecting metadata as required by the new compliance rules.