Comprehensive and Detailed Explanation From Exact AWS AI documents:
Amazon SageMaker Model Monitor detects:
Data drift
Concept drift
Model quality degradation
AWS MLOps guidance recommends Model Monitor to:
Continuously evaluate production models
Trigger alerts when performance deviates from baselines
Maintain long-term model reliability
Why the other options are incorrect:
Amazon A2I (A) adds human review workflows.
Rekognition (C) is an image analysis service.
Trusted Advisor (D) provides cost and security recommendations.
AWS AI document references:
Amazon SageMaker Model Monitor Overview
Detecting Model Drift on AWS
Production ML Monitoring Best Practices
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