Using Recall@k | AWS Certified AI Practitioner (AIF-C01) original practice question

3.1Standard

Pass the top k search results to generation.

Compare relevant-document retrieval.

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.

各質問の既知の関連文書と上位k件を比較しRecall@kを算出する: Misses become measurable.
Recall@kだけでなく順位品質、根拠正確性、遅延、費用、認可を確認する: Search-to-generation impact is covered.
Recall@kが高ければ上位の根拠が正しいと保証される: Ranking and content need separate checks.
質問ごとの正解根拠を定義せず平均を計算する: The metric has no clear meaning.

Detailed explanation

CorrectCompare known relevant documents with the top k results to compute Recall@k

Misses become measurable.

CorrectAlso evaluate ranking, evidence accuracy, latency, cost, and authorization

Search-to-generation impact is covered.

IncorrectHigh Recall@k guarantees correct top evidence

Ranking and content need separate checks.

IncorrectCompute an average without defining relevant documents

The metric has no clear meaning.

An example you can run in a temporary verification environment.

AWS公式AIF-C01 Domain 3.1の検索評価、Recall@k、RAG品質を確認する。

検索の取りこぼしと上位根拠の品質を分けて測定できる。

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-398

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