Explanation:
Amazon SageMaker Feature Store is a purpose-built repository designed specifically for storing, managing, and retrieving machine learning features. It serves as a centralized feature store that enables data scientists and ML engineers to:
This centralized approach ensures consistency between training and inference, reduces data duplication, and improves collaboration among data science teams. The other options describe different AWS services:
Ultimate access to all questions.
What is the main function of Amazon SageMaker Feature Store?
A
To create data visualizations for ML experiments
B
To store, manage, and retrieve ML features for training and inference
C
To monitor GPU utilization in ML pipelines
D
To deploy ML models as REST APIs
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