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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 71 discussion

Exam question from Amazon's AWS Certified Machine Learning Engineer - Associate MLA-C01
Question #: 71
Topic #: 1
[All AWS Certified Machine Learning Engineer - Associate MLA-C01 Questions]

A company's ML engineer has deployed an ML model for sentiment analysis to an Amazon SageMaker endpoint. The ML engineer needs to explain to company stakeholders how the model makes predictions.
Which solution will provide an explanation for the model's predictions?

  • A. Use SageMaker Model Monitor on the deployed model.
  • B. Use SageMaker Clarify on the deployed model.
  • C. Show the distribution of inferences from A/В testing in Amazon CloudWatch.
  • D. Add a shadow endpoint. Analyze prediction differences on samples.
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Suggested Answer: B 🗳️
by GiorgioGss at Nov. 28, 2024, 8:50 a.m.
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Saransundar
2 months, 4 weeks ago
Selected Answer: B
Sentiment analysis model → SageMaker Clarify → Analyze feature impact → Explain predictions to stakeholders
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