Answer: SageMaker Canvas

## Explanation **SageMaker Canvas** is the correct answer because: 1. **No-code/Low-code Interface**: SageMaker Canvas provides a visual, drag-and-drop interface that allows business analysts and non-technical users to build, train, and deploy machine learning models without writing any code. 2. **Target Audience**: It's specifically designed for business analysts, data analysts, and other professionals who don't have programming expertise but need to create predictive models. 3. **Simple UI**: The interface is intuitive and user-friendly, enabling users to prepare data, build models, generate predictions, and share insights through a point-and-click interface. **Why the other options are incorrect:** - **A) SageMaker Ground Truth**: This is a data labeling service for creating high-quality training datasets, not for building and deploying models. - **B) SageMaker Studio**: This is an integrated development environment (IDE) for data scientists and developers who write code. It requires programming knowledge. - **D) SageMaker Pipelines**: This is a CI/CD service for automating ML workflows, which requires coding skills to define and manage pipelines. SageMaker Canvas bridges the gap between business needs and ML capabilities by empowering non-technical users to leverage machine learning through a simple visual interface.

Author: Jin H