Question 13
CCA-F is a newly released exam. These practice questions reflect our best current understanding — the exact wording and question formats may change in the live exam until the certification matures. Use them to learn the concepts, not to memorize.
Scenario: Multi-agent Research System - Production monitoring shows inconsistent synthesis quality. When aggregated results are ~75K tokens, the synthesis agent reliably cites information from the first 15K tokens (web-search headlines/snippets) and the last 10K tokens (document analysis conclusions), but often misses critical findings in the middle 50K tokens—even when they directly answer the research question. How should you restructure the aggregated input? How should you restructure the aggregated input?
- ASummarize all subagent outputs to under 20K tokens before aggregation to keep content within the model’s reliable processing range.
- BStream subagent results to the synthesis agent incrementally, processing web-search results first to completion, then adding document analysis results.
- CPlace a key-findings summary at the start of the aggregated input and organize detailed results with explicit section headings for easier navigation.
- DImplement rotation that alternates which subagent’s results appear first across research tasks to ensure both sources get equal top positioning over time.