Q57 of 60 — CCA Practice Exam

Developer Productivity with Claude

Your developer productivity platform uses a keyword-based classifier to route internal engineering tickets — bug reports, feature requests, environment incidents, and security issues — to the appropriate on-call team. The team lead reports that after three months, the classifier's routing accuracy has dropped from 91% to 78% as new ticket categories were added and existing category definitions changed. The engineering manager wants to know whether to retrain the classifier on updated labeled data or migrate to Claude. What characteristic of your team's situation most strongly supports migrating to Claude rather than retraining the traditional classifier?

A. The ticket volume is high enough that automated routing — regardless of approach — will provide measurable cost-per-ticket savings compared to manual triage.

B. The classifier must handle tickets written in multiple languages from globally distributed engineering teams, and maintaining separate models per language is not feasible.

C. Routing categories have changed and will continue to evolve, meaning any retrained classifier will require repeated data-intensive relabeling cycles each time definitions shift.

D. The existing classifier's accuracy dropped to 78%, which is below the 90–95% industry benchmark, indicating the model is underperforming and needs replacement.