Answer: Amazon SageMaker Studio

Amazon SageMaker Studio is the correct choice because it provides a fully integrated development environment (IDE) specifically designed for machine learning workflows. **Key features of Amazon SageMaker Studio:** - Complete ML development environment with Jupyter notebooks - Built-in tools for data preparation, model training, and deployment - Integrated debugging and profiling capabilities - One-click model deployment to production - Collaborative features for team-based ML development **Why other options are incorrect:** - **AWS CodeBuild**: A continuous integration service for building and testing code, not specifically designed for ML model deployment - **Amazon CodeGuru**: A developer tool for code quality and performance recommendations, not an ML IDE - **Amazon Athena**: An interactive query service for analyzing data in Amazon S3 using SQL, not an ML development environment Amazon SageMaker Studio provides the complete IDE experience needed for end-to-end ML model development and deployment.

Author: Ritesh Yadav