MLA-C01 · Question #234
MLA-C01 Question #234: Real Exam Question with Answer & Explanation
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Question
A company develops a recommendation model and hosts the model on an Amazon SageMaker AI endpoint. The model uses the SageMaker AI endpoint to perform near real-time inference to deliver personalized product recommendations to customers based on browsing history, purchase records, and in-app user interactions. After a major marketing campaign, the company observes a sharp drop in the model's performance. The company needs a solution to proactively monitor, detect, and validate model performance before future marketing campaigns. Which solution will meet these requirements?
Options
- AUse SageMaker Clarify to analyze changes in feature distribution. Configure SageMaker Model
- BUse Amazon CloudWatch dashboards to monitor endpoint metrics. Use SageMaker Model
- CUse SageMaker Clarify for bias detection. Set up Amazon CloudWatch alarms to monitor model
- DUse SageMaker Model Monitor to monitor constraints. Use Amazon CloudWatch Logs Insights to
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