Defining retraining triggers | AWS Certified AI Practitioner (AIF-C01) original practice question

3.3Standard

Data and performance change over time.

Avoid blind retraining.

Choose two policies.

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

CorrectCombine performance, drift, label quality, volume, fairness, and business conditions

Need is evidence-based.

CorrectAfter retraining, run independent quality, safety, cost, and rollback tests

The new model is verified.

IncorrectRetrain immediately after every drift signal

Cause may be an attack or label change.

IncorrectAutomation removes approval and audit needs

High-impact change needs control.

An example you can run in a temporary verification environment.

AWS公式AIF-C01 Domain 1.3・3.3・4.3の再学習、監視、変更管理を確認する。

ドリフトを検知しただけで盲目的に再学習せず、品質と統制を含めて判断できる。

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-527

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