MLA-C01 · Question #191
A company is developing an ML model by using Amazon SageMaker AI. The company must monitor bias in the model and must display the results on a dashboard. An ML engineer creates a bias monitoring job.
The correct answer is B. Capture Amazon CloudWatch metrics from SageMaker Clarify.. SageMaker Clarify runs bias analysis jobs and publishes the resulting bias metrics directly to Amazon CloudWatch. CloudWatch natively supports custom dashboards where these metrics can be visualized over time, making it straightforward to build a monitoring dashboard for bias. AW
Question
A company is developing an ML model by using Amazon SageMaker AI. The company must monitor bias in the model and must display the results on a dashboard. An ML engineer creates a bias monitoring job. How should the ML engineer capture bias metrics to display on the dashboard?
Options
- ACapture AWS CloudTrail metrics from SageMaker Clarify.
- BCapture Amazon CloudWatch metrics from SageMaker Clarify.
- CCapture SageMaker Model Monitor metrics from Amazon EventBridge.
- DCapture SageMaker Model Monitor metrics from Amazon Simple Notification Service (Amazon
How the community answered
(29 responses)- A17% (5)
- B72% (21)
- C3% (1)
- D7% (2)
Explanation
SageMaker Clarify runs bias analysis jobs and publishes the resulting bias metrics directly to Amazon CloudWatch. CloudWatch natively supports custom dashboards where these metrics can be visualized over time, making it straightforward to build a monitoring dashboard for bias. AWS CloudTrail (A) records API call history for auditing and governance purposes-it does not emit model bias metrics. Amazon EventBridge (C) is an event bus for routing events between services; it does not collect or store model metrics for dashboarding. Amazon SNS (D) is a notification service for sending alerts, not a metrics collection or dashboarding tool.
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