AWS Certified Machine Learning - Specialty MLS-C01 — Topic 1 Question 229

Question

An online retail company wants to develop a natural language processing (NLP) model to improve customer service. A machine learning (ML) specialist is setting up distributed training of a Bidirectional Encoder Representations from Transformers (BERT) model on Amazon SageMaker. SageMaker will use eight compute instances for the distributed training. The ML specialist wants to ensure the security of the data during the distributed training. The data is stored in an Amazon S3 bucket. Which combination of steps should the ML specialist take to protect the data during the distributed training? (Choose three.)

Accepted Answer

Correct answer: A, C, D. The correct answer is A, C, D. Option A: Run distributed training jobs in a private VPC. Enable inter-container traffic encryption. Option C: Create an S3 VPC endpoint. Then configure network routes, endpoint policies, and S3 bucket policies. Option D: Grant read-only access to SageMaker resources by using an IAM role. Amazon S3 provides durable, scalable object storage that is fully managed. A VPC endpoint provides private connectivity to AWS services without traversing the public internet. Amazon SageMaker builds, trains and deploys machine learning models in a fully managed service.

AWS Certified Machine Learning - Specialty MLS-C01 — Question 229