Topic 1 Question 71
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?
Use SageMaker Model Monitor on the deployed model.
Use SageMaker Clarify on the deployed model.
Show the distribution of inferences from A/В testing in Amazon CloudWatch.
Add a shadow endpoint. Analyze prediction differences on samples.
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- 正解だと思う選択肢: B
Sentiment analysis model → SageMaker Clarify → Analyze feature impact → Explain predictions to stakeholders
👍 1Saransundar2024/12/04
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