Q4 — AWS AIF-C01 Ch.2

Question 4 of 100 | ← Chapter 2

A company wants to use Amazon SageMaker to build machine learning models. It needs to share and manage variables required for model development across multiple teams. Which SageMaker feature satisfies this requirement?

• A. Amazon SageMaker Feature Store ✓
• B. Amazon SageMaker Data Processing tools
• C. Amazon SageMaker Clarify
• D. Amazon SageMaker Model Cards

Correct Answer: A. Amazon SageMaker Feature Store

Explanation

Amazon SageMaker Feature Store is a fully managed feature repository that enables data scientists and developers to store, retrieve, discover, and share features consistently across teams and projects. It directly addresses the need to share and manage model development variables (i.e., features) across multiple teams. Other options—SageMaker Data Processing tools support ETL but lack centralized feature sharing; Clarify focuses on bias and explainability detection; Model Cards document model properties—not feature management.