Home / AWS Certified AI Practitioner (AIF-C01) / 3 Practice / AWS-AIF-281
Compare summarization model candidates.
Meet a minimum quality while lowering cost.
Choose two comparisons.
Hint 1: Focus on the requirement Compare candidates on a common quality and safety floor, then include tail latency, token use, retries, and operational cost in the decision.
Hint 2: Key terms Review quality-cost frontiers and total inference cost.
Quality-cost frontierThe set of candidates that meet required quality and safety while avoiding unnecessary cost.
Total costThe combined cost of model calls, tokens, retries, storage, caching, and operations.
Quality floorThe minimum acceptable quality or safety level a candidate must meet.
Tail latencyThe slower end of response times, often represented by a high percentile such as p95. × Incorrect Measure quality, refusal, safety, p95, and token use on the same set, then choose total cost among candidates meeting the quality and safety floor.
Detailed explanation A Incorrect Choose the cheapest model without a quality floor
Business quality is not protected.
B Correct Among candidates meeting quality and safety floors, include actual usage and retries in cost
Total cost rather than unit price is compared.
C Incorrect Choose from one sample
Variation and input diversity are not measured.
D Correct Measure quality, safety, p95 latency, and input/output tokens on the same set
Candidates are comparable.
Check official documentation Compare the following points with the official documentation.
Amazon Bedrock公式モデル比較・料金とAIF-C01 Domain 3.1を確認する。
Official references Official documentation 1 Official documentation 2 What to confirm 単価最小ではなく、要件を満たす品質・安全性と総費用で選べる。
Key points Quality floor p95 Total cost 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 Quality-cost frontier The set of candidates that meet required quality and safety while avoiding unnecessary cost.
Total cost The combined cost of model calls, tokens, retries, storage, caching, and operations.
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