AWS Certified Machine Learning Engineer – Associate (MLA-C01) — Question 89

An ML engineer needs to encrypt all data in transit when an ML training job runs. The ML engineer must ensure that encryption in transit is applied to processes that Amazon SageMaker uses during the training job.

Which solution will meet these requirements?

Answer options

• A. Encrypt communication between nodes for batch processing.
• B. Encrypt communication between nodes in a training cluster.
• C. Specify an AWS Key Management Service (AWS KMS) key during creation of the training job request.
• D. Specify an AWS Key Management Service (AWS KMS) key during creation of the SageMaker domain.

Correct answer: B

Explanation

Option B is correct because it specifically addresses the need to encrypt communications between nodes in the training cluster, which is essential for protecting data in transit. Options A and C do not specifically relate to the training cluster's communication, and option D pertains to the SageMaker domain rather than the training job itself, making them unsuitable solutions for the given requirement.