AWS Certified AI Practitioner

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.