CCARF Practice Question

Paper 3 · Question 50

D4 Prompt Engineering & Structured Output · Paper 3

[Scenario 5: Claude Code for Continuous Integration] You are integrating Claude Code into a CI/CD pipeline for automated code review, test generation, and pull-request feedback — designing prompts that produce actionable findings while minimizing false positives. You are adding few-shot examples to the review prompt. Which TWO practices reflect how few-shot prompting works best? (Select TWO.)

• A.Include as many examples as possible — twenty or more — to cover every case
• B.Use 2–4 targeted examples aimed at the ambiguous scenarios, showing the reasoning for why one action was chosen over plausible alternatives
• C.Once examples are added, explicit criteria become unnecessary
• D.Rely on examples only for prose tasks; they don't work for code
• E.Include examples demonstrating the exact desired output format — location, issue, severity, suggested fix — to achieve consistent, actionable findings Scenario 6: Structured Data Extraction You are building a structured data extraction system: pulling information from unstructured documents, validating output against JSON schemas, handling edge cases gracefully, and integrating with downstream systems.

Show answer & explanations

Correct answer: B, E

A: bloats context and dilutes the signal of the examples that matter

B: Effective few-shot work is targeted and demonstrative: a handful of examples aimed at genuine ambiguity, with reasoning shown, plus format demonstrations that lock output structure — quality of targeting over quantity.

C: and D are false — examples complement explicit criteria, and code review is a prime few-shot use case

D: This option does not best satisfy the scenario requirements.

E: Effective few-shot work is targeted and demonstrative: a handful of examples aimed at genuine ambiguity, with reasoning shown, plus format demonstrations that lock output structure — quality of targeting over quantity.

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