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Exam AWS Certified Machine Learning Engineer - Associate MLA-C01 All Questions

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Exam AWS Certified Machine Learning Engineer - Associate MLA-C01 topic 1 question 49 discussion

Exam question from Amazon's AWS Certified Machine Learning Engineer - Associate MLA-C01
Question #: 49
Topic #: 1
[All AWS Certified Machine Learning Engineer - Associate MLA-C01 Questions]

A credit card company has a fraud detection model in production on an Amazon SageMaker endpoint. The company develops a new version of the model. The company needs to assess the new model's performance by using live data and without affecting production end users.
Which solution will meet these requirements?

  • A. Set up SageMaker Debugger and create a custom rule.
  • B. Set up blue/green deployments with all-at-once traffic shifting.
  • C. Set up blue/green deployments with canary traffic shifting.
  • D. Set up shadow testing with a shadow variant of the new model.
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Suggested Answer: D 🗳️
by GiorgioGss at Nov. 27, 2024, 10:57 p.m.
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Saransundar
1 month ago
Selected Answer: D
Shadow testing is a technique used to evaluate a new model's performance by running it alongside the current production model, processing the same live data but without affecting production outcomes.
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GiorgioGss
1 month, 1 week ago
Selected Answer: D
https://docs.aws.amazon.com/sagemaker/latest/dg/shadow-tests-create.html
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