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

1.2Standard

Some production fields are missing.

Treat missingness meaningfully.

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

CorrectInvestigate cause, rate, time, and group differences and business meaning

Blind imputation is avoided.

CorrectFit imputation on training data and use missing flags or rejection when appropriate

Production gaps are handled.

IncorrectReplacing every value by the mean loses no information

Meaning and distribution are hidden.

IncorrectContinue predictions without monitoring rising missingness

Data degradation is missed.

An example you can run in a temporary verification environment.

AWS公式AIF-C01 Domain 1.2の欠損値、データ品質、異常入力を確認する。

欠損を単純な数値置換で終わらせず、意味と本番の異常処理を設計できる。

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-455

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