Governing adaptation data

3.1Standard

Use internal answers to adapt a model.

Improve quality without including personal data, secrets, rights violations, or errors.

Choose two preparation practices.

Hint 1: Focus on the requirement

Treat adaptation data as a governed dataset, keep evaluation independent, and compare the adapted model with the original under the same tests.

Hint 2: Key terms

Review fine-tuning data and adaptation evaluation.

Fine-tuning data: Examples used to adapt a pretrained model to a particular task, style, or domain.
Data consent: Permission that covers collection and the intended use of records in an adaptation dataset.
Train-validation-test split: Separating examples for learning, development choices, and final evaluation.
Before-after comparison: Evaluating an original and adapted model with the same inputs and criteria.

Question IDAWS-AIF-258

EnvironmentAWS公式AIF-C01試験ガイドとAWS公式ドキュメントの確認

Last technical review2026-08-20

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