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What is the goal for using Amazon SageMaker Model Monitor?

publish date: 2025/09/12 02:16:15.901868 UTC

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To train deep-learning models faster

To automatically deploy machine learning (ML) models

To detect issues such as data drift and concept drift

To fine-tune pretrained models

Correct Answer

To detect issues such as data drift and concept drift

Explanation

SageMaker Model Monitor tracks deployed ML models and alerts users to changes in data distribution or concept drift. it does not speed up training. Deployment is managed separately in SageMaker, not specificallyl through Model Monitor. Fine-tuning pretraining models is a different ML task and is not the purpose of Model Monitor.

Reference

AWS Certified AI Practitioner (AIF-C01) Study Guide, Tom Taulli

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