Comparing model capacity and latency | AWS Certified AI Practitioner (AIF-C01) original practice question

3.1Standard

A conversational application needs quality and fast responses.

Compare candidate models under realistic demand.

Choose two appropriate 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.

実際の代表入力で品質、p50・p95レイテンシ、エラー率を測る: Tail latency and realistic quality matter.
モデル規模、出力長、同時実行数、料金を組み合わせて容量計画する: Operations require more than a benchmark score.
ベンチマークの順位だけで本番の速度を断定する: Workload and settings can differ.
レイテンシを測らず最大モデルを選ぶ: The requirements and budget may not be met.

Detailed explanation

CorrectMeasure quality, p50 and p95 latency, and errors with representative inputs

Tail latency and realistic quality matter.

CorrectPlan capacity using model size, output length, concurrency, and price

Operations require more than a benchmark score.

IncorrectUse benchmark rank as a guarantee of production speed

Workload and settings can differ.

IncorrectSelect the largest model without latency measurement

The requirements and budget may not be met.

An example you can run in a temporary verification environment.

Amazon Bedrock公式モデル選択・料金とAIF-C01 Domain 3.1を確認する。

品質、速度、容量、費用の比較軸を説明できる。

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-162

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