AWS Certified AI Practitioner AIF-C01 Practice Question
Your team must review information about an AWS-provided foundation model, including its intended use cases, training approach, limitations, and fairness assessments, before deciding to adopt it. Which AWS resource should the team consult?
AWS AI Service Cards are published by AWS for each managed AI service and foundation model. They summarize the model's purpose, recommended and discouraged use cases, data sources, evaluation methods, and known limitations such as bias or safety concerns, giving customers the transparency they need to make informed decisions. Amazon SageMaker Model Cards are created by customers to document models they build and are not provided for AWS-managed models. Amazon SageMaker Clarify produces bias and explainability reports, but these reports are not a single, public transparency document. The AWS Well-Architected Machine Learning Lens offers architectural guidance and best practices, not detailed documentation for a specific model. Therefore, the AWS AI Service Card is the correct resource.
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Why is the AWS Well-Architected Machine Learning Lens not appropriate for understanding a specific model?
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AWS Certified AI Practitioner AIF-C01
Guidelines for Responsible AI
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