AWS Certified Machine Learning – Specialty — Question 31

A Machine Learning Specialist is configuring Amazon SageMaker so multiple Data Scientists can access notebooks, train models, and deploy endpoints. To ensure the best operational performance, the Specialist needs to be able to track how often the Scientists are deploying models, GPU and CPU utilization on the deployed SageMaker endpoints, and all errors that are generated when an endpoint is invoked.
Which services are integrated with Amazon SageMaker to track this information? (Choose two.)

Answer options

• A. AWS CloudTrail
• B. AWS Health
• C. AWS Trusted Advisor
• D. Amazon CloudWatch
• E. AWS Config

Correct answer: A, D

Explanation

AWS CloudTrail is used to log and monitor account activity, including model deployments, making it essential for tracking usage. Amazon CloudWatch provides metrics and logs that help monitor the performance of SageMaker endpoints, including CPU and GPU utilization, as well as error tracking. The other options do not provide the necessary tracking capabilities for the specified requirements.