A company has deployed an AI application in production on AWS.

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