Reducing overfitting | AWS Certified AI Practitioner (AIF-C01) original practice question

1.2Standard

Training accuracy is high but validation accuracy is low.

Improve generalization.

Choose two responses.

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 validation performance and consider early stopping or regularization

Model complexity can be controlled.

CorrectUse independent data and adjust capacity or augmentation as needed

Generalization is tested.

IncorrectMore training always improves unseen performance

Training can overfit.

IncorrectDeploy the highest training-accuracy model directly

Validation is ignored.

An example you can run in a temporary verification environment.

AWS公式AIF-C01 Domain 1.2の過学習、正則化、早期終了、一般化性能を確認する。

訓練性能と未知データ性能の差を見て過学習対策を選べる。

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-416

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