MLA-C01 · Question #184
MLA-C01 Question #184: Real Exam Question with Answer & Explanation
The correct answer is A: Schedule a monitoring job in Amazon SageMaker Model Monitor. Generate the monitoring results. Amazon SageMaker Model Monitor can be scheduled to run monitoring jobs on batch inference outputs to evaluate both data quality and model performance against established baselines, producing regular reports that meet the hospital’s daily reporting requirement with minimal operati
Question
A hospital is using an ML model to validate x-ray results. The hospital runs a nightly batch inference job. The hospital needs to produce a daily report about model data quality and model performance. Which solution will meet these requirements?
Options
- ASchedule a monitoring job in Amazon SageMaker Model Monitor. Generate the monitoring results
- BCreate an Amazon CloudWatch dashboard that includes the metrics for processing steps in the
- CUse AWS Glue DataBrew to create a custom recipe job that uses the Numerical Statistics data
- DCreate a SageMaker AI pipeline that includes a QualityCheck step to run monitoring jobs.
Explanation
Amazon SageMaker Model Monitor can be scheduled to run monitoring jobs on batch inference outputs to evaluate both data quality and model performance against established baselines, producing regular reports that meet the hospital’s daily reporting requirement with minimal operational overhead.
Topics
Community Discussion
No community discussion yet for this question.