MLA-C01 · Question #192
MLA-C01 Question #192: Real Exam Question with Answer & Explanation
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Question
A company is using an Amazon SageMaker AI ML model to predict traffic accidents that potholes cause. An ML engineer has configured SageMaker Model Monitor to run as part of a SageMaker AI pipeline. In the MonitoringExecution output, the ML engineer observes several baseline_drift_check violations that are failing the pipeline. What should the ML engineer do to resolve this issue?
Options
- ARetrain the model by using a new SageMaker AI training job. Check for errors by using
- BRetrain the model with new training data. Reuse the original baseline in Model Monitor.
- CRetrain the model with new training data. Use the new baseline in Model Monitor.
- DRerun the SageMaker AI pipeline after enabling the emit_metrics option in the baseline
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