AWS Certified AI Practitioner

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.