Answer: SageMaker JumpStart

## Explanation **SageMaker JumpStart** is the correct answer because it provides: - **Pre-trained models** for common tasks like NLP (sentiment analysis), computer vision, and tabular data - **Example notebooks** with ready-to-use code - **One-click deployment** capabilities - **Solution templates** for common use cases **Why other options are incorrect:** - **B) SageMaker Ground Truth**: This service is for data labeling and annotation, not pre-trained models - **C) SageMaker Feature Store**: This is for storing, sharing, and managing ML features, not pre-trained models - **D) SageMaker Canvas**: This is a no-code ML tool for business analysts, focused on building models rather than providing pre-trained ones SageMaker JumpStart is specifically designed to help users quickly get started with ML by providing pre-built solutions and models, making it ideal for the data scientist's requirement to deploy a pre-trained NLP model without building from scratch.

Author: Ritesh Yadav