1.3Standard
Rebuild a model from the same code.
Track changes in data and dependencies.
Choose two practices.
× Incorrect
Record code, data snapshots, dependencies, random seeds, environment, model version, settings, and evaluation results as a traceable artifact.
Detailed explanation
IncorrectSave only code and not the data version
The same result cannot be reproduced.
CorrectAttach model version, evaluation, settings, author, and time to the artifact
Production assets can be explained.
CorrectRecord code, data snapshot, dependencies, random seed, and environment
The build conditions can be recreated.
IncorrectIgnore environment differences and keep only successful models
Reproducibility and auditability are incomplete.
Check official documentation
Compare the following points with the official documentation.
AWS公式AIF-C01 Domain 1.3の再現性、モデル版管理、MLOpsを確認する。
Official references
What to confirm
モデルを構成したコード・データ・環境・評価を再現可能な形で管理できる。
Key points
- Reproducibility
- Data version
- Lineage
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
Reproducible build
A build that can recreate an equivalent artifact from the same inputs and environment.
Model lineage
Traceability linking data, code, model versions, evaluations, approvals, and deployments.
Question IDAWS-AIF-335
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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