Recording dataset provenance | AWS Certified AI Practitioner (AIF-C01) original practice question

1.3Basic

Several sources train a model.

Explain source and license later.

Choose two records.

Hint 1: Focus on the requirement

Identify what must change and what must remain unchanged. Then choose the command whose scope matches that requirement.

Hint 2: Check each command's role

Separate commands that display information, change state, remove data, or affect a child process.

原本、収集方法、変換、ラベル、版、所有者、利用許諾をデータセットへ紐付ける: Origin and conditions are traceable.
欠損・重複・品質検査・除外理由を保存し、変更時に影響モデルを一覧化する: Reproduction and impact analysis are possible.
最終CSVだけを保存し、原本やライセンスを記録しない: Origin and terms are unknown.
データが公開されていれば用途と再配布条件は確認不要である: Public access and permission differ.

Detailed explanation

CorrectLink source, collection, transformation, label, version, owner, and license to the dataset

Origin and conditions are traceable.

CorrectKeep missingness, duplicates, quality checks, exclusions, and affected models

Reproduction and impact analysis are possible.

IncorrectKeep only the final CSV and discard sources and licenses

Origin and terms are unknown.

IncorrectPublic data needs no purpose or redistribution review

Public access and permission differ.

An example you can run in a temporary verification environment.

AWS公式AIF-C01 Domain 1.3のデータ来歴、再現性、ライセンスを確認する。

学習データの出所・変換・利用条件を後から説明できる。

Foundation review

Check whether the command acts on the current shell, a new process, an existing process, or a file.

Use the supplied command and compare the output with the expected result.

Question IDAWS-AIF-472

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