Home / AWS Certified AI Practitioner (AIF-C01) / 4 Practice / AWS-AIF-148
Approve several internal models.
Give operators and users useful information about purpose and limits.
Choose two documentation fields.
Hint 1: Focus on the requirement Document intended use and evaluation conditions together with failure modes, limitations, and responsible contacts.
Hint 2: Key terms Review documentation that limits model misuse.
Model documentationMaterial describing a model's purpose, data, performance, limitations, risks, and ownership.
Intended useThe task, users, conditions, and decisions for which a model has been designed and evaluated.
MisuseApplying a model outside its intended purpose, population, inputs, or operating constraints.
Evaluation conditionThe dataset, metric, environment, and assumptions under which performance was measured. × Incorrect Document intended use, users, inputs, outputs, limitations, data provenance, evaluation conditions, group performance, and update history.
Detailed explanation A Correct Record intended use, users, inputs, outputs, and known limitations
This clarifies scope and misuse risk.
B Incorrect Hide failure conditions and publish only good scores
Users can overtrust the model.
C Correct Record data provenance, evaluation conditions, group performance, and update history
Results become interpretable and changes traceable.
D Incorrect Publish only a model name with no owner or contact
Issues cannot be reported or managed.
Check official documentation Compare the following points with the official documentation.
AWS公式AIF-C01 Domain 4.2・5.2の透明性、文書化、ガバナンスを確認する。
Official references Official documentation 1 Official documentation 2 What to confirm モデルの用途・限界・評価条件を文書化する目的を説明できる。
Key points Purpose Limitations Evaluation Notes Environment: AWS公式AIF-C01試験ガイドとAWS公式ドキュメントの確認 Compare the definition with the AIF-C01 objective and the service documentation before applying it. Keep the concept separate from a particular answer choice or implementation step. Foundation review Model documentation Material describing a model's purpose, data, performance, limitations, risks, and ownership.
Intended use The task, users, conditions, and decisions for which a model has been designed and evaluated.
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