Cost Optimization Questions
Reduce API costs with prompt caching, model routing, output length control, batching, and token-efficient prompting patterns.
Sample Questions
Prompt caching in the Claude API reduces cost by:
Pick an answer to continue
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What Cost Optimization practice should teach you
Good practice is not about recognising a keyword. It is about choosing the strongest architecture decision when several answers look plausible. Use this domain to practise these three habits:
- Measure the actual source of token and latency cost.
- Match a model and context strategy to the task's risk level.
- Protect quality while removing unnecessary repeated work.
Common mistake
Optimising for token count alone. The cheapest individual call can be the most expensive system when it causes retries, poor routing, or avoidable human review.
Need a broader routine? Read the Claude CCA-F study guide, then return here for a focused drill.
Before treating a score as evidence, review how to use CCA-F practice questions for baseline, diagnosis, and fresh re-testing.