Answer: SageMaker JumpStart

**Explanation:** SageMaker JumpStart is the correct answer because it provides pre-trained models, solution templates, and example notebooks that allow users to quickly deploy machine learning models without building from scratch. It offers a curated collection of pre-trained models for various tasks including natural language processing (NLP) like sentiment analysis. **Why other options are incorrect:** - **B) SageMaker Ground Truth**: This service is for data labeling and annotation, not for deploying pre-trained models. - **C) SageMaker Feature Store**: This is a centralized repository for storing, sharing, and managing features for machine learning, not for deploying pre-trained models. - **D) SageMaker Canvas**: This is a visual interface for building machine learning models without coding, but it doesn't specifically provide pre-trained models and example notebooks like JumpStart does. **Key Features of SageMaker JumpStart:** - Pre-trained models for various domains (NLP, computer vision, etc.) - One-click deployment - Example notebooks and tutorials - Solution templates for common use cases - No need to write code from scratch

Author: Ritesh Yadav