Answer: SageMaker Canvas

## Explanation **SageMaker Canvas** is the correct answer because it provides a visual, no-code interface specifically designed for business analysts and non-technical users to build and deploy machine learning models. ### Why SageMaker Canvas is correct: - **No-code interface**: Provides a drag-and-drop visual interface that doesn't require programming knowledge - **Targeted for business users**: Specifically designed for business analysts, data analysts, and other non-technical roles - **End-to-end ML workflow**: Allows users to prepare data, build models, generate predictions, and deploy models without writing code - **Business-friendly**: Focuses on business outcomes rather than technical implementation details ### Why other options are incorrect: - **A) SageMaker Ground Truth**: This is for data labeling and annotation, not for building and deploying predictive models - **B) SageMaker Studio**: This is an integrated development environment (IDE) for data scientists and developers who write code - **D) SageMaker Pipelines**: This is for building ML workflows programmatically using code, not suitable for non-technical users SageMaker Canvas democratizes machine learning by enabling business users to leverage ML capabilities without needing data science expertise or coding skills.

Author: Ritesh Yadav