Q21 — AWS AIF-C01 Ch.1

Question 21 of 100 | ← Chapter 1

A company is using Amazon SageMaker Studio notebooks to build and train ML models. It stores data in an Amazon S3 bucket and needs to manage data flow from Amazon S3 into SageMaker Studio notebooks. Which solution satisfies this requirement?

• A. Use Amazon Inspector to monitor SageMaker Studio.
• B. Use Amazon Macie to monitor SageMaker Studio.
• C. Configure SageMaker to use an S3 VPC endpoint. ✓
• D. Configure SageMaker to use S3 Glacier Deep Archive.

Correct Answer: C. Configure SageMaker to use an S3 VPC endpoint.

Explanation

This question tests knowledge of secure, efficient data access patterns in AWS. To enable SageMaker Studio notebooks to access S3 data without traversing the public internet—and while maintaining network isolation—a VPC endpoint for S3 provides private, high-performance connectivity. Amazon Inspector assesses security configurations; Amazon Macie discovers and classifies sensitive data; S3 Glacier Deep Archive is for archival cold storage—not active data access. Therefore, option C ('Configure SageMaker to use an S3 VPC endpoint') is correct.