Managing missing values | AWS Certified AI Practitioner (AIF-C01) original practice question

1.2Basic

Some production fields are missing.

Missingness itself may carry business meaning.

Choose two designs.

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

CorrectMonitor missing rate, reason, and allowed range by field

Input quality changes become visible.

CorrectReproduce the training imputation and missing-value indicator at inference

Feature meaning stays consistent.

IncorrectReplace every missing value with zero without checking meaning

Zero may be a real value.

IncorrectUse a different imputation method in production

Training and inference diverge.

An example you can run in a temporary verification environment.

AWS公式AIF-C01 Domain 1.2のデータ品質、欠損値、前処理を確認する。

欠損値を一律処理せず、品質監視と一貫した補完を実装できる。

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-333

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