AWS Certified Cloud Practitioner

Explanation

SageMaker Studio is the correct answer because it provides a fully managed integrated development environment (IDE) specifically designed for machine learning workflows.

Why SageMaker Studio is correct:

• Managed IDE: SageMaker Studio offers a web-based, fully managed IDE for ML development
• Model Training: Provides integrated tools for training machine learning models
• Visualization: Includes built-in capabilities for visualizing performance metrics and model results
• Collaboration: Supports collaboration features for teams working together on ML projects
• End-to-end ML workflow: Combines data preparation, model building, training, and deployment in one environment

Why other options are incorrect:

• SageMaker Ground Truth (A): Used for data labeling and annotation, not as an IDE
• SageMaker Pipelines (B): Used for creating and managing ML workflows and automation, not as a development environment
• SageMaker Canvas (D): A no-code ML tool for business analysts, not a full IDE for engineers

Note: The provided answer "b" in the text appears to be incorrect. SageMaker Studio (option C) is the managed IDE environment that meets all the requirements mentioned.