Discover how Amazon SageMaker Model Monitor and Amazon Augmented AI (A2I) enable effective monitoring and human review of machine learning models on AWS, ensuring high-quality predictions and responsible AI deployment.
Table of Contents
Question
Monitoring is important in order to maintain high-quality machine learning (ML) models and help ensure accurate predictions.
Which AWS services or features help with monitoring and human review? (Select TWO.)
A. Amazon Bedrock
B. Amazon SageMaker Clarify
C. Amazon Augmented AI (Amazon A2I)
D. Amazon SageMaker Model Monitor
E. Amazon SageMaker JumpStart
Answer
C. Amazon Augmented AI (Amazon A2I)
D. Amazon SageMaker Model Monitor
Explanation
Monitoring is important in order to maintain high-quality ML models and help ensure accurate predictions. SageMaker Model Monitor automatically detects and alerts users to inaccurate predictions from deployed models. With Amazon A2I, users can implement a human review of ML predictions when human oversight is needed.
Amazon SageMaker Model Monitor and Amazon Augmented AI (A2I) are two key AWS services that facilitate monitoring and human review of machine learning models, contributing to the maintenance of high-quality predictions and responsible AI deployment.
1. Amazon SageMaker Model Monitor:
- Continuously monitors the quality of machine learning models in production
- Detects concept drift by comparing live data with the baseline data used to train the model
- Alerts developers when the model’s performance deviates from the expected quality
- Enables proactive model retraining or fine-tuning to maintain accuracy and reliability
2. Amazon Augmented AI (Amazon A2I):
- Provides a human review workflow for machine learning predictions
- Allows developers to incorporate human judgment into AI applications
- Enables manual review of low-confidence predictions or edge cases
- Integrates with Amazon SageMaker, Amazon Rekognition, and Amazon Textract
- Helps ensure the accuracy and fairness of AI-powered decisions
The other options mentioned are not directly related to monitoring and human review:
- Amazon Bedrock: A fully managed service for building ML workflows and MLOps foundations
- Amazon SageMaker Clarify: Helps detect bias in ML models and improve fairness
- Amazon SageMaker JumpStart: Provides pre-built solutions and models to accelerate ML development
In summary, Amazon SageMaker Model Monitor and Amazon Augmented AI (A2I) are the two AWS services that specifically address the need for monitoring and human review in machine learning models, helping to maintain high-quality predictions and ensure responsible AI deployment.
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