Question 38
Domain 4: ML Solution Monitoring, Maintenance, and SecurityA machine learning team wants a standardized way to document a model’s intended use, limitations, and other key details for governance and review within Amazon SageMaker. Which AWS feature is designed for that purpose?
Correct answer: A
Explanation
Use SageMaker Model Cards to create standardized documentation for machine learning models, including important details such as intended use and limitations. AWS AI Service Cards are for AWS AI services rather than customer-built SageMaker models. — SageMaker Model Cards, AWS AI Service Cards for model documentation.
Why each option is right or wrong
A. Use SageMaker Model Cards to document the model’s intended use, limitations, and related details.
The prompt asks for documentation of a team’s model within Amazon SageMaker. SageMaker Model Cards are the feature identified in the source material for model documentation, including items such as intended use and limitations for governance and review.
B. Use AWS AI Service Cards to document the team’s custom SageMaker model and its deployment settings.
AWS AI Service Cards apply to AWS AI services, not customer-built SageMaker models.
C. Use SageMaker Model Cards only for deployment configuration, not for documenting model limitations or use.
SageMaker Model Cards are for model documentation, including intended use and limitations.
D. Use AWS AI Service Cards because they replace the need for model documentation in SageMaker projects.
SageMaker Model Cards provide model documentation for SageMaker projects.