Home / AWS Certified AI Practitioner (AIF-C01) / 2 Practice / AWS-AIF-495
Long inputs and outputs increase cost.
Preserve quality within limits.
Choose two designs.
Hint 1: Focus on the requirement Budget input, retrieved evidence, and output separately, and measure token cost, retries, quality, and latency under the limit.
Hint 2: Key terms Review token budgets.
Token budgetA limit on the tokens allocated to instructions, evidence, and generated output.
Context limitThe maximum input and output capacity supported for one model request.
Token pricingA charge based on the number and direction of tokens processed.
Context compressionShortening or selecting information to fit within a token limit. × Incorrect Set separate input, retrieval, and output budgets with overflow behavior and measure model price, cache, retries, quality, and latency.
Detailed explanation A Incorrect Character count exactly estimates token cost
Tokenization varies.
B Incorrect Add every document even when quality falls
Noise and cost increase.
C Correct Set input, retrieval, and output limits and define summarize, omit, or reject behavior
Limits and cost are controlled.
D Correct Measure unit price, caching, retries, quality, and latency by model
Total cost is comparable.
Check official documentation Compare the following points with the official documentation.
AWS公式AIF-C01 Domain 2.1・3.3のトークン、コスト、コンテキストを確認する。
Official references Official documentation 1 Official documentation 2 What to confirm トークン数と単価だけでなく、再試行・品質・遅延を含む予算を設計できる。
Key points Token budget Unit price 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 Token budget A limit on the tokens allocated to instructions, evidence, and generated output.
Context limit The maximum input and output capacity supported for one model request.
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