AWS Certified Machine Learning Engineer – Associate (MLA-C01) — Question 113
An ML engineer is deploying a trained model to an Amazon SageMaker endpoint. The ML engineer needs to receive alerts when data quality issues occur in production.
Which solution will meet this requirement?
Answer options
- A. Configure an Amazon CloudWatch metric alarm and a corresponding action to send an Amazon Simple Notification Service (Amazon SNS) notification.
- B. Integrate the SageMaker endpoint with a SageMaker Clarify processing job. Configure an Amazon CloudWatch alarm to provide alerts.
- C. Configure a monitoring job in SageMaker Model Monitor. Integrate Model Monitor with Amazon CloudWatch to provide alerts.
- D. Configure a data flow in SageMaker Data Wrangler. Integrate Data Wrangler with Amazon CloudWatch to provide alerts.
Correct answer: C
Explanation
The correct answer is C because SageMaker Model Monitor is specifically designed to monitor data quality and can integrate with Amazon CloudWatch for alerts. Option A does not directly monitor data quality issues, and B relies on SageMaker Clarify, which is not the best fit for ongoing monitoring. Option D, while involving data flow, does not focus on data quality monitoring as effectively as Model Monitor does.