AWS Certified AI Practitioner AIF-C01 Practice Question
A data science team is filling out an Amazon SageMaker Model Card for a new language-translation model. Which information should they include in the card to improve transparency and responsible use of the model?
The IAM permission policies assigned to each developer
Historical spot-price fluctuations for GPU instances
The account's current Amazon EC2 instance type quotas
The model's intended use cases and known limitations
Amazon SageMaker Model Cards contain an Intended uses section where teams document the model's purpose, appropriate use cases, and any known limitations or out-of-scope scenarios. Capturing this information helps downstream users understand how-and how not-to apply the model. Operational details such as EC2 instance quotas, individual IAM policies, or historical spot-price data are managed elsewhere in AWS and are not part of the standard Model Card schema, so including them would not enhance model transparency.
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AWS Certified AI Practitioner AIF-C01
Guidelines for Responsible AI
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