AWS Certified AI Practitioner AIF-C01 Practice Question
A company plans to deploy an open-source foundation model that was trained on publicly available text. To improve model transparency before production use, which activity directly addresses the role of data licensing?
Run Amazon SageMaker Model Monitor to detect model-drift metrics in real time.
Review the dataset's provenance and license terms to confirm that commercial use is permitted.
Enable personally identifiable information (PII) redaction in Guardrails for Amazon Bedrock.
Perform hyperparameter tuning to achieve higher validation accuracy.
Verifying the provenance of the training data and confirming that its license allows the intended commercial use increases transparency. It clarifies what data the model has seen, whether that data can legally be used in production, and any obligations (such as attribution) that apply. The other actions are valuable for quality, safety, or performance, but they do not reveal or document how licensing of the original data affects model transparency.
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AWS Certified AI Practitioner AIF-C01
Guidelines for Responsible AI
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