Answer: SageMaker Feature Store

## Explanation **SageMaker Feature Store** is specifically designed for storing, sharing, and managing ML features across multiple models and teams. It provides a centralized repository for feature data that can be reused across different ML workflows. ### Why other options are incorrect: - **B) SageMaker JumpStart**: This is a feature that provides pre-built solutions, model templates, and example notebooks to help users get started quickly with ML projects. - **C) SageMaker Ground Truth**: This service is used for data labeling and annotation, helping to create high-quality training datasets. - **D) SageMaker Canvas**: This is a visual, no-code interface for building ML models, designed for business analysts and non-technical users. ### Key Benefits of SageMaker Feature Store: - **Feature Reusability**: Store features once and use them across multiple models - **Feature Consistency**: Ensure consistent feature values during training and inference - **Feature Discovery**: Easily discover and share features across teams - **Online/Offline Storage**: Supports both low-latency online access for real-time inference and batch access for training

Author: Ritesh Yadav