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Applications of Foundation Models IV

Explore effective methods to monitor and manage machine learning models across regions using AWS SageMaker. Understand key practices of MLOps pipelines including automation, CI/CD, and model performance tracking. Learn to identify the best foundation models for multi-task AI challenges involving speech, vision, and natural language processing.

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Question 44

A global retail company has multiple machine learning models deployed across different regions. To ensure seamless monitoring and management, the team needs a unified view of all the models’ performance, metrics, and logs.

Which service should the company use to get a comprehensive and unified view of all its machine learning models?

A. Amazon SageMaker Studio


B. Amazon SageMaker Clarify ...