AWS Certified Machine Learning Engineer - Associate MLA-C01 — Topic 1 Question 180

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?

Accepted Answer

Correct answer: C. The correct answer is C. Option C: Retrain the model with new training data. Use the new baseline in Model Monitor.

AWS Certified Machine Learning Engineer - Associate MLA-C01 — Question 180