A new dataset is added to a training pipeline.
Prevent data with unclear permission from reaching production training.
Choose two designs.
Inspect permission, purpose, personal data, region, and retention before training and bind the approved version and reviewer to the job.
Detailed explanation
Unqualified data is stopped.
Unqualified data is stopped.
The training approval is traceable.
The training approval is traceable.
Improper use happens first.
Improper use happens first.
A license does not define every obligation.
A license does not define every obligation.
Try it yourself
An example you can run in a temporary verification environment.
AWS公式AIF-C01 Domain 5.3のデータガバナンスと承認プロセスを確認する。Expected result
データの許諾・プライバシー・版管理を学習開始前のゲートへ組み込める。Key points
- Approval gate
- Dataset version
- Re-review
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
- Command output formatting can vary slightly by distribution or tool version.
- Run the example in a temporary directory or process when possible.
Foundation review
Read the scope first
Check whether the command acts on the current shell, a new process, an existing process, or a file.
Verify the observable result
Use the supplied command and compare the output with the expected result.