
Answer-first summary for fast verification
Answer: SageMaker JumpStart
**Explanation:** SageMaker JumpStart is the correct answer because it provides pre-trained models, solution templates, and example notebooks that can be quickly deployed for various tasks including NLP sentiment analysis. - **SageMaker JumpStart**: Offers pre-trained models, notebooks, and solution templates that can be deployed with just a few clicks, making it ideal for quickly deploying pre-trained models without building from scratch. - **SageMaker Ground Truth**: Used for data labeling and annotation, not for deploying pre-trained models. - **SageMaker Feature Store**: Used for storing, sharing, and managing ML features, not for deploying pre-trained models. - **SageMaker Canvas**: A no-code tool for building ML models, but doesn't specifically focus on providing pre-trained models and notebooks like JumpStart does. SageMaker JumpStart is specifically designed to help users quickly get started with ML by providing access to hundreds of pre-trained models across various domains, including NLP models for sentiment analysis, along with accompanying notebooks and deployment scripts.
Author: Jin H
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A data scientist wants to quickly deploy a pre-trained NLP model for sentiment analysis without building from scratch. Which SageMaker service provides pre-trained models and example notebooks?
A
SageMaker JumpStart
B
SageMaker Ground Truth
C
SageMaker Feature Store
D
SageMaker Canvas