Home / AWS Certified AI Practitioner (AIF-C01) / 3 Practice / AWS-AIF-242
A voice assistant must answer within 200 ms.
Maintain quality while meeting the target.
Choose two comparisons.
Hint 1: Focus on the requirement Measure tail latency as well as average latency, and weigh faster responses against output quality, safety, and cost.
Hint 2: Key terms Review latency objectives and streaming responses.
p95 latencyThe time within which 95 percent of requests complete, exposing slower tail behavior.
Streaming responseReturning generated output incrementally instead of waiting for the complete response.
Tail latencyThe slower portion of response times that affects users near the high-percentile end.
Latency budgetThe maximum response-time allowance allocated to a request or workflow. × Incorrect Measure p50 and p95 latency, output length, quality, and safety under the same inputs, then evaluate smaller models, streaming, and caching.
Detailed explanation A Correct Evaluate a smaller model, shorter output, streaming, and caching
Several configurations can meet the requirement.
B Correct Measure p50 and p95 latency, output length, quality, and safety for each model
Slow tail requests are visible.
C Incorrect Minimize latency while ignoring quality and safety
User impact and risk increase.
D Incorrect If average latency is 200 ms, p95 is guaranteed to be 200 ms
Tail latency can be higher.
Check official documentation Compare the following points with the official documentation.
Amazon Bedrock公式モデル選択、推論性能、AIF-C01 Domain 3.1を確認する。
Official references Official documentation 1 Official documentation 2 What to confirm 平均値だけでなくテール遅延と品質・安全性を含めてモデルを選べる。
Key points 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 p95 latency The time within which 95 percent of requests complete, exposing slower tail behavior.
Streaming response Returning generated output incrementally instead of waiting for the complete response.
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