Home / AWS Certified AI Practitioner (AIF-C01) / 3 Practice / AWS-AIF-443
Retrieval looks good but final answers are wrong.
Separate failure layers.
Choose two evaluations.
Hint 1: Focus on the requirement Measure retrieval, authorization, evidence support, safety, latency, and cost together so a failure can be isolated to its stage.
Hint 2: Key terms Review end-to-end RAG evaluation.
End-to-end evaluationAssessment of a complete workflow from input and retrieval through final output.
Failure isolationSeparating pipeline stages to identify where an error was introduced.
Evidence supportThe degree to which source material substantiates a generated claim.
Refusal rateThe share of requests for which a system declines to provide an answer. × Incorrect Measure retrieval recall, ranking, authorization, evidence support, omissions, safety, latency, and cost on the same question set.
Detailed explanation A Incorrect Use final answer accuracy alone to identify retrieval causes
Layers cannot be separated.
B Correct Link retrieved evidence to final answers and record latency, cost, and refusals
End-to-end tradeoffs are comparable.
C Correct Measure retrieval recall, ranking, authorization, and generation support separately
Failure layers are separated.
D Incorrect Skip evidence checks when retrieval looks plausible
Generation errors remain.
Check official documentation Compare the following points with the official documentation.
AWS公式AIF-C01 Domain 3.4のRAG評価、検索指標、生成品質を確認する。
Official references Official documentation 1 Official documentation 2 What to confirm 検索と生成のどの段階が失敗したかを分離して改善できる。
Key points RAG evaluation Retrieval Generation Notes Environment: AWS公式AIF-C01試験ガイドとAWS公式ドキュメントの確認 Compare the definition with the AIF-C01 objective and the service documentation before applying it. Keep the concept separate from a particular answer choice or implementation step. Foundation review End-to-end evaluation Assessment of a complete workflow from input and retrieval through final output.
Failure isolation Separating pipeline stages to identify where an error was introduced.
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