Detecting AI cost anomalies | AWS Certified AI Practitioner (AIF-C01) original practice question

3.3Standard

Model spending suddenly rises.

Find and contain the cause.

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.

チーム・モデル・リージョン・入力トークン・再試行別に費用と利用量を分けて監視する: The source of growth is visible.
予算アラート、上限、レート制限、異常時の低コストフォールバックを設定する: Growth can be contained early.
請求月末に総額だけ確認する: Diagnosis and control are late.
失敗リクエストを無制限に再試行して成功率を上げる: Cost is amplified.

Detailed explanation

CorrectMonitor cost and volume by team, model, region, input tokens, and retries

The source of growth is visible.

CorrectSet budget alerts, limits, rate limits, and a low-cost fallback

Growth can be contained early.

IncorrectCheck only the monthly total

Diagnosis and control are late.

IncorrectRetry every failure without a limit

Cost is amplified.

An example you can run in a temporary verification environment.

AWS公式AIF-C01 Domain 3.3のコスト監視、クォータ、異常検知を確認する。

費用増加の要因を分解し、利用制限と通知で制御できる。

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-444

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