Answer: SageMaker Studio

## 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.

Author: Ritesh Yadav