AWS Certified Cloud Practitioner

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.