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Question Anatomy

How scenario-based items are constructed, how distractors are written, and a repeatable technique for answering them.

The item template

Almost every item on these exams follows the same skeleton:

text
[Context] A team / company / role and what they are trying to achieve.
[Constraint] One or two explicit constraints: cost, latency, compliance, scale,
reliability, team size, existing stack.
[Signal] A detail that points to the correct principle
(e.g., "overnight", "must never", "10,000 documents", "confident but wrong").
[Question] "Which approach BEST…", "What should the architect do FIRST…",
"Which TWO actions…" (multiple-response items state the count).
[Options] 3–4 plausible options. Usually:
• the correct trade-off
• a correct-sounding but over-engineered option
• an option that ignores the constraint
• an option that violates a stated principle (an anti-pattern)

How distractors are written

Item writers produce wrong answers by applying predictable transformations to the right one. Learn to recognise them:

Distractor typeExampleWhy it fails
Constraint-blindRecommends realtime API when the stem says “overnight, cost matters”Ignores the signal
Over-engineeredMulti-agent system for a linear three-step taskViolates “simplest thing that works”
Prompt-as-enforcement“Add to the system prompt: never issue refunds over $500”Critical rules need programmatic hooks
Self-report reliance“Escalate when Claude’s self-rated confidence is below 0.7”Self-reported confidence is not calibrated
Silent failure“Return an empty list if the tool errors”Hides diagnostic context
Recall-onlyCorrect definition, wrong situationExams test application, not definition
Aggregate metric“Overall accuracy is 96%, ship it”Masks per-segment failure
Sentiment = complexity“Escalate angry customers”Sentiment ≠ complexity

A repeatable technique

  1. Read the question sentence first (the last line before the options). Note the qualifier: BEST, FIRST, MOST cost-effective, TWO.
  2. Read the stem and underline the constraint and the signal. There is almost always exactly one decisive detail.
  3. Predict the principle before looking at options (“this is a batch-vs-realtime question”).
  4. Eliminate the constraint-blind and anti-pattern options – usually two of four.
  5. Between the remaining two, pick the simpler one that fully satisfies the constraint. Over-engineering is a distractor pattern, not a virtue.
  6. Multiple-response: the count is given. Each correct option must independently be right; do not pick options that are only right “together”.
  7. Flag and move on after ~2.5 minutes. Return with leftover time.

Worked example

A financial-services team is building a support agent with Claude. Refunds above $500 must never be issued without a human approval. The team proposes adding the rule to the system prompt. What should the architect recommend?

A. Keep the rule in the system prompt and add few-shot examples of correct refusals. B. Implement a pre-tool-use hook that blocks the issue_refund tool when amount > 500 unless an approval token is present. C. Ask the model to output a confidence score and only issue refunds when confidence > 0.9. D. Lower the temperature to 0 so the model follows the instruction deterministically.

Show the answer and reasoning

B. The signal is “must never” plus a financial threshold: a critical business rule. Prompt-based enforcement (A, D) is best-effort, not a guarantee – temperature 0 does not make instruction-following deterministic. Self-reported confidence (C) is uncalibrated. Programmatic hooks enforce the rule deterministically outside the model. This maps to anti-pattern 3 (“prompt-based enforcement for critical business rules”) and anti-pattern 4 (“self-reported confidence”).

Time budget

ExamItemsSeconds per itemSuggested first passReserve
CCAO-F6012095 min25 min
CCDV-F5313695 min25 min
CCAR-F6012095 min25 min
CCAR-P63114100 min20 min

The reserve is for flagged items and a final check that no item is left blank (no guessing penalty).

Last updated Sep 18, 2026