AWS Certified Machine Learning Engineer – Associate (MLA-C01) — Question 152

A company is building an Amazon SageMaker AI pipeline for an ML model. The pipeline uses distributed processing and training.

An ML engineer needs to encrypt network communication between instances that run distributed jobs. The ML engineer configures the distributed jobs to run in a private VPC.

What should the ML engineer do to meet the encryption requirement?

Answer options

• A. Enable network isolation.
• B. Configure traffic encryption by using security groups.
• C. Enable inter-container traffic encryption.
• D. Enable VPC flow logs.

Correct answer: C

Explanation

The correct answer is C because enabling inter-container traffic encryption specifically secures the communication between containers in distributed jobs, meeting the encryption requirement. Options A, B, and D do not directly address the need for encrypting traffic between instances running distributed jobs.