MLS-C01 · Question #232
MLS-C01 Question #232: Real Exam Question with Answer & Explanation
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Question
A retail company uses a machine learning (ML) model for daily sales forecasting. The model has provided inaccurate results for the past 3 weeks. At the end of each day, an AWS Glue job consolidates the input data that is used for the forecasting with the actual daily sales data and the predictions of the model. The AWS Glue job stores the data in Amazon S3. The company's ML team determines that the inaccuracies are occurring because of a change in the value distributions of the model features. The ML team must implement a solution that will detect when this type of change occurs in the future. Which solution will meet these requirements with the LEAST amount of operational overhead?
Options
- AUse Amazon SageMaker Model Monitor to create a data quality baseline. Confirm that the
- BUse Amazon SageMaker Model Monitor to create a model quality baseline. Confirm that the
- CUse Amazon SageMaker Debugger to create rules to capture feature values Set up an Amazon
- DUse Amazon CloudWatch to monitor Amazon SageMaker endpoints. Analyze logs in Amazon
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