AWS Certified Cloud Practitioner

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Explanation:

Amazon SageMaker Studio is the correct answer because it provides a fully integrated development environment (IDE) specifically designed for machine learning workflows. It offers a comprehensive set of tools for building, training, and deploying ML models, including Jupyter notebooks, experiment management, model debugging, and model monitoring capabilities.

Why other options are incorrect:

AWS CodeBuild: A fully managed continuous integration service that compiles source code, runs tests, and produces software packages, but not specifically designed for ML model deployment
Amazon CodeGuru: A developer tool that provides intelligent recommendations for improving code quality and identifying expensive code, focused on code review and performance optimization
Amazon Athena: An interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL, primarily for data analysis rather than ML model deployment

Explanation:

Why other options are incorrect:

AWS CodeBuild: A fully managed continuous integration service that compiles source code, runs tests, and produces software packages, but not specifically designed for ML model deployment
Amazon CodeGuru: A developer tool that provides intelligent recommendations for improving code quality and identifying expensive code, focused on code review and performance optimization
Amazon Athena: An interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL, primarily for data analysis rather than ML model deployment

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A company wants an integrated development environment (IDE) to deploy a machine learning (ML) model. Which AWS service will meet this requirement?

Exam-Like

Community

RRitesh

AWS CodeBuild

14.3%

Amazon CodeGuru

0.0%

Amazon Athena

Amazon SageMaker Studio

85.7%