Answer: SageMaker Ground Truth

The correct answer is C) SageMaker Canvas. However, the provided answer in the text shows 'Ans : C' which would correspond to SageMaker Ground Truth, but this appears to be incorrect based on the actual functionality of these services. **Detailed Explanation:** Let's examine each option: **A) SageMaker Feature Store** - This is a centralized repository for storing, sharing, and managing features for machine learning. It's not designed for building models without coding. **B) SageMaker JumpStart** - This provides pre-built solutions, model templates, and notebooks to help users get started quickly with ML on SageMaker. While it simplifies the process, it still typically requires some coding or notebook usage. **C) SageMaker Ground Truth** - This is a data labeling service that helps build highly accurate training datasets. It's not for building and deploying predictive models without coding. **D) SageMaker Canvas** - This is the correct answer. SageMaker Canvas is specifically designed as a visual, no-code interface that allows business analysts and domain experts to build, train, and deploy machine learning models without writing any code. It provides a drag-and-drop interface for data preparation, model training, and deployment. **Note:** There appears to be a discrepancy in the provided answer. The text shows 'Ans : C' which would indicate SageMaker Ground Truth, but based on the actual capabilities of these services, SageMaker Canvas (option D) is the correct answer for building and deploying predictive models using a simple UI without requiring coding.

Author: Jin H