CCARF Practice Question

Paper 3 · Question 10

D5 Context Management & Reliability · Paper 3

[Scenario 1: Customer Support Resolution Agent] You are building a customer support resolution agent with the Claude Agent SDK. It handles high-ambiguity requests (returns, billing disputes, account issues) via custom MCP tools — get_customer, lookup_order, process_refund, escalate_to_human — targeting 80%+ first-contact resolution while knowing when to escalate. In long multi-issue sessions, the agent's later responses misquote refund amounts and order numbers because earlier details were condensed into vague summaries, while each lookup_order result dumps 40+ fields into context. Which TWO changes address this? (Select TWO.)

• A.Extract transactional facts — amounts, dates, order numbers, statuses — into a persistent case-facts block included in each prompt, outside the summarized history
• B.Increase max_tokens so responses can be longer
• C.Summarize even more aggressively to save space
• D.Trim each tool result to only the fields relevant to the current issue before it enters context
• E.Ask the customer to repeat key numbers periodically Scenario 2: Code Generation with Claude Code Your team uses Claude Code for code generation, refactoring, debugging, and documentation, integrated into daily development with custom slash commands and CLAUDE.md configuration — and you must judge when plan mode beats direct execution.

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Correct answer: A, D

A: The paired fix: protect precise transactional facts from lossy summarization by persisting them in a dedicated block, and stop the bloat at its source by trimming verbose tool outputs to relevant fields before they accumulate.

B: controls output length, not context quality

C: intensifies the exact failure mode — numbers dissolving into vagueness

D: The paired fix: protect precise transactional facts from lossy summarization by persisting them in a dedicated block, and stop the bloat at its source by trimming verbose tool outputs to relevant fields before they accumulate.

E: outsources the system's memory problem to the customer

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