Q10 of 60 — CCA Practice Exam

Structured Data Extraction

Your structured data extraction pipeline processes batches of 500 legal contracts per week across multiple agent sessions. After three weeks of operation, you notice that each new session restarts extraction logic from scratch — ignoring field patterns, validation edge cases, and schema refinements that were discovered in previous sessions. Operators report spending 40–60 minutes per session re-establishing context before meaningful extraction begins. Logs confirm the agent has no access to prior session outputs. What architectural change most directly addresses this session continuity failure?

A. Expand the system prompt to include a comprehensive summary of all known field patterns, validation rules, and schema refinements discovered to date, updating it manually before each new session starts.

B. Bootstrap a structured memory file at session start that captures discovered field patterns, validation edge cases, and schema refinements, then instruct the agent to update this file at session end so each new session loads it as its first action.

C. Increase the context window allocation so the agent can hold all prior session outputs in active context simultaneously, eliminating the need for a separate external persistence mechanism entirely.

D. Require operators to paste a structured session summary into the first user turn of each new session so the agent can fully reconstruct the necessary extraction context before beginning work.