Monitoring model versions | AWS Certified AI Practitioner (AIF-C01) original practice question

3.3Standard

A provider updates a model and outputs change.

Detect unexpected changes.

Choose two practices.

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.

Detailed explanation

CorrectRecord model identifier, version, provider, and change date in deployment and logs

Changes link to outputs.

CorrectRun fixed regression and compare safety, cost, and latency baselines after updates

Automatic changes are detected.

IncorrectThe same model name guarantees identical behavior

Versions and weights can change.

IncorrectCompare production outputs only after a provider update

Issues may be missed.

An example you can run in a temporary verification environment.

AWS公式AIF-C01 Domain 3.3・4.3のモデル更新、回帰評価、変更管理を確認する。

提供者の更新を追跡し、品質と運用指標の変化を検出できる。

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-464

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