MLA-C01 · Question #87
MLA-C01 Question #87: Real Exam Question with Answer & Explanation
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Question
A company deployed an ML model that uses the XGBoost algorithm to predict product failures. The model is hosted on an Amazon SageMaker endpoint and is trained on normal operating data. An AWS Lambda function provides the predictions to the company's application. An ML engineer must implement a solution that uses incoming live data to detect decreased model accuracy over time. Which solution will meet these requirements?
Options
- AUse Amazon CloudWatch to create a dashboard that monitors real-time inference data and model
- BModify the Lambda function to calculate model drift by using real-time inference data and model
- CSchedule a monitoring job in SageMaker Model Monitor. Use the job to detect drift by analyzing
- DSchedule a monitoring job in SageMaker Debugger. Use the job to detect drift by analyzing the
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