Q47 — AWS AIF-C01 Ch.2

Question 47 of 100 | ← Chapter 2

A company is using Amazon SageMaker Studio notebooks to build and train machine learning models. The company stores its data in an Amazon S3 bucket. The company needs to manage the data flow from Amazon S3 to SageMaker Studio notebooks. Which solution meets this requirement?

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

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

Explanation

To meet the requirement of managing data flow from Amazon S3 to SageMaker Studio notebooks, SageMaker must be configured to use a VPC with an S3 endpoint. This configuration ensures secure and efficient data transfer between Amazon S3 and SageMaker Studio, supporting ML model development and training. Amazon Inspector is used for security monitoring and assessment—not data flow management. Amazon Macie focuses on discovering, classifying, and protecting sensitive data—not managing data flow. S3 Glacier Deep Archive is designed for long-term archival storage of infrequently accessed data—not real-time data flow management. Therefore, option C is the correct solution.