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MLS-C01 · Question #47

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…

The correct answer is A. AWS CloudTrail D. Amazon CloudWatch. CloudTrail is use to track scientist how ofthe they deploy a model. CloudWatch for monitoring GPU and CPU. https://aws.amazon.com/sagemaker/faqs/

Machine Learning Implementation and Operations

Question

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.)

Options

  • AAWS CloudTrail
  • BAWS Health
  • CAWS Trusted Advisor
  • DAmazon CloudWatch
  • EAWS Config

How the community answered

(24 responses)
  • A
    92% (22)
  • C
    4% (1)
  • E
    4% (1)

Explanation

CloudTrail is use to track scientist how ofthe they deploy a model. CloudWatch for monitoring GPU and CPU. https://aws.amazon.com/sagemaker/faqs/

Topics

#SageMaker monitoring#CloudWatch#CloudTrail#MLOps

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