AWS Certified Cloud Practitioner

Explanation

Correct Answer: C) SageMaker Studio

Why SageMaker Studio is correct:

• SageMaker Studio is Amazon's fully integrated development environment (IDE) for machine learning

• It provides a web-based, collaborative IDE for ML workflows

• Features include: notebook-based development, model training, visualization tools, debugging, and collaboration capabilities

• Specifically designed for ML engineers to train models, visualize performance metrics, and collaborate with peers

Why other options are incorrect:

• A) SageMaker Ground Truth: This is a data labeling service for creating high-quality training datasets, not an IDE environment

• B) SageMaker Pipelines: This is a CI/CD service for automating ML workflows, not a managed IDE

• D) SageMaker Canvas: This is a no-code visual interface for business analysts to build ML models without writing code, not a full IDE for ML engineers

Note: The provided answer in the text says "Ans : b" which appears to be incorrect. Based on AWS SageMaker capabilities, SageMaker Studio is the correct choice for a managed IDE environment for ML engineers.