AWS Certified AI Practitioner Practice Exam

Which Amazon SageMaker feature allows sharing and managing variables across multiple teams?

1. Amazon SageMaker Feature Store

2. Amazon SageMaker Data Wrangler

3. Amazon SageMaker Clarify

4. Amazon SageMaker Model Cards

The correct answer is: Amazon SageMaker Feature Store

The Amazon SageMaker Feature Store is designed specifically for sharing and managing features across multiple teams. It acts as a centralized repository for storing, retrieving, and managing features used in machine learning models. By providing a common platform, teams can access and utilize the same features, ensuring consistency and reusability across various projects and models. Feature Store promotes collaboration among teams by allowing them to capitalize on the collective knowledge and data transformations that have already been devised. This standardization reduces redundancy and increases efficiency, as different teams can build on each other's work, sharing insights and tailored features that have proven effective. In contrast, while the other choices have their specific purposes, they do not focus on the general management and sharing of variables across teams. For example, Data Wrangler is more geared toward data preparation, Clarify focuses on model bias detection and explainability, and Model Cards provide documentation and insights about machine learning models. None of these solutions provide the collaborative feature management that the Feature Store offers.