1.2Standard
Several teams label fraudulent transactions.
Reduce differences in judgments.
Choose two quality practices.
× Incorrect
Document positive, negative, unknown, boundary, and priority rules, and monitor agreement, team differences, and review rates.
Detailed explanation
IncorrectDo not record label-version changes
Data meaning cannot be traced.
IncorrectLet each labeler decide independently
Definitions diverge.
CorrectMonitor duplicate agreement, team differences, and re-review rates
Label quality changes become visible.
CorrectDocument positive, negative, unknown, boundary, and priority rules
Labeling criteria are aligned.
Check official documentation
Compare the following points with the official documentation.
AWS公式AIF-C01 Domain 1.2のラベル品質、データ準備、機械学習ライフサイクルを確認する。
Official references
What to confirm
ラベル定義の不一致を検知し、版付きの基準へ改善できる。
Key points
- Label definition
- Agreement
- Boundary
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
Label quality
The correctness, consistency, and completeness of target labels.
Label agreement
The proportion or degree of matching judgments among labelers.
Question IDAWS-AIF-373
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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