Question 169
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: Conversational AI Architecture Patterns - An assistant aggregates a long report from many sources into one large block before answering. Reviewers notice it reliably uses facts placed at the top and bottom but frequently overlooks key findings buried in the middle, even though they are present. Which phenomenon is this, and how do you mitigate it?
- AToken starvation; simply raise `max_tokens` so the middle fits.
- BSchema drift; enforce a stricter JSON Schema on the report.
- CTool overload; reduce the number of tools the assistant has.
- DThe lost-in-the-middle effect; place key findings at the start and action items at the end of the aggregated input.