AI Cert Prep
Type to search documentation.

Appendix · Claude

Study Plans

Week-by-week plans for each certification with hour allocations derived from the official blueprint weights, hands-on builds and booking gates.

All plans use the same rules: hours follow blueprint weight; you build something real; you only book after a timed practice exam scores ≥ 80% with no domain below 65%.

WeekHoursFocusDeliverable
17D2 Output Evaluation (5.5 h) · D7 Troubleshooting (1.5 h) · Anthropic Academy: Claude 101, AI Capabilities and LimitationsPersonal evaluation checklist; three deliberately-elicited hallucinations documented
27D4 Workflow Integration (4 h) · D1 Prompting (3 h)One real workflow mapped: where Claude adds value, where humans gate
37D6 Governance (4 h) · D5 Configuration (3 h)A configured Project with instructions + knowledge; a one-page acceptable-use summary
44D3 Product/Model Selection (3 h) · Practice exam + review (1 h+)Timed 60-item practice exam; book if ≥ 80%

Daily micro-routine (15 minutes)

  1. Read five Lexique entries you cannot define from memory.
  2. Re-answer two practice questions you got wrong yesterday, aloud, explaining each distractor.
  3. Skim one decision table in the Decision Frameworks appendix.

Booking gate checklist

  • Timed practice exam ≥ 80% overall.
  • No domain below 65%.
  • Can explain all ten anti-patterns and their correct alternative (technical exams).
  • Can recite the model lineup, prices and Fable 5.1 breaking changes (technical exams).
  • Can list the mandatory human-review triggers (all exams).
  • Downloaded the current official Exam Guide and confirmed weights have not changed.
  • Partner-domain email confirmed; Pearson VUE account created; OnVUE system test passed.
  • Reminder set for renewal at month 10.

Final week – day-by-day

The last seven days are for consolidation, not new material. Do not cram; sleep matters more than one more topic.

DayFocusOutput
−7Full timed practice exam (exam 1), coldBaseline score + per-domain breakdown
−6Attack the two weakest domains from the breakdownRe-do every missed item aloud, explaining each distractor
−5Second weakest domains + all anti-patterns / model facts drillRecite the 10 anti-patterns and their fix; the model table
−4Practice exam 2 (harder), timedCompare per-domain to day −7; note any domain <65%
−3Decision frameworks + Lexique gapsEvery decision table explainable from the signal word
−2Light review: skim your own notes; re-answer 10 previously-missed itemsConfidence pass, no new topics
−1Rest. Logistics only (OnVUE system test, ID, environment)Night-before checklist done
Day 0ExamArrive/settle 30 min early

Exam signal

If practice exam 2 (harder, multi-constraint) is within 5 points of exam 1, you are ready. A large drop means you pattern-matched exam 1’s wording rather than the underlying principle — go back to the signal-word index.

40 must-know facts (flashcards)

Cover the answer; recall it cold. These are the highest-yield facts across all four exams.

  1. Pass = 720/1000 scaled; 120 minutes; no guessing penalty.
  2. Retakes: 14 / 30 / 90 days; max 4 per rolling year.
  3. Validity 12 months; free on-time renewal; Credly badge.
  4. Model IDs: claude-fable-5-1, claude-opus-5, claude-sonnet-5, claude-haiku-4-5.
  5. Prices per MTok in/out: Fable $10/$50 · Opus $5/$25 · Sonnet $2/$10 · Haiku $1/$5.
  6. Context: 1M for Fable/Opus/Sonnet; 200k for Haiku. Max output 128k / 64k (Haiku).
  7. Fable 5.1: forced tool_choice → 400. Use auto+instruction, strict, or output_config.format.
  8. Fable 5.1: append-only history; thinking blocks bound to producing model; 30-day retention (no ZDR); not Priority Tier.
  9. Only Haiku 4.5 still uses budget_tokens; others use {"type":"adaptive"}.
  10. effort: low | medium | high | xhigh; not on Haiku 4.5.
  11. Cache: read 0.1×, write 1.25× (5-min) / 2× (1-hour); min 1024 tokens (2048 Haiku); break-even ≈ 2 reads.
  12. Batch API: 50% off, results ≤24 h; for overnight/bulk.
  13. stop_reason: end_turn | tool_use | max_tokens | stop_sequence | pause_turn | refusal.
  14. Loop terminates on stop_reason, never on parsing prose or an iteration cap.
  15. tool_result goes in a user message, matched by tool_use_id.
  16. Tool errors: structured is_error (category, retryable) — never empty success.
  17. Retry only 429/5xx/529 with backoff + jitter + retry-after; fix 4xx.
  18. Rate-limit dimensions: RPM, ITPM, OTPM — whichever binds first.
  19. Structured output: output_config.format + strict: true, then validate + retry.
  20. Critical business rule → deterministic hook (PreToolUse, exit 2 blocks), not a prompt sentence.
  21. Escalate on explicit request or beyond-capability — never sentiment or self-reported confidence.
  22. Report per-segment metrics; aggregate accuracy hides failing segments.
  23. Self-review in a fresh session / different model, never same-session.
  24. 4–8 tools ideal; beyond ~10 use tool search + defer_loading.
  25. Remove an unneeded destructive tool (least privilege) — not log/confirm it.
  26. MCP primitives: Tools (model), Resources (app), Prompts (user); + sampling, roots.
  27. MCP transports: stdio (local) vs Streamable HTTP (remote, OAuth 2.1 + PKCE).
  28. MCP is model↔tool, not agent↔agent.
  29. MCP connector = server-side, no local harness; pass user-scoped token.
  30. Workflow = predefined code paths; Agent = model directs its own steps. Prefer the simplest.
  31. Six workflow patterns: chaining, routing, parallelization, orchestrator-workers, evaluator-optimizer, augmented LLM.
  32. CLAUDE.md precedence: managed → user → project → subdirectory; CLAUDE.local.md personal; @ imports.
  33. settings.json scopes: managed > flags > local > project > user.
  34. Skill (procedure) vs CLAUDE.md (conventions) vs command (one-liner) vs subagent (isolated task) vs MCP (external system).
  35. Plan mode for multi-file/architectural/irreversible; direct for single obvious edits.
  36. Headless: claude -p --output-format json|stream-json, --allowedTools, --permission-mode.
  37. RAG for large/changing corpus + citations; long context for small stable; fine-tuning for style not facts.
  38. Confident-but-wrong after a doc refresh → suspect retrieval/indexing first.
  39. Hybrid retrieval (dense + BM25) + reranker; query rewriting/HyDE for vague queries.
  40. Compliance: GDPR (EU personal data, DPIA), HIPAA (PHI + BAA), FedRAMP High (Bedrock/Vertex), SOC 2, ZDR.

Night-before checklist

  • OnVUE system test passed on the same machine and network you will use.
  • Government photo ID ready; name matches the Pearson VUE registration exactly.
  • Quiet, private room; desk clear of notes, phones, second monitors.
  • Webcam, microphone and stable internet confirmed; power adapter plugged in.
  • Browser extensions/VPN that could block the proctor disabled.
  • Exam start time and time zone double-checked; plan to launch 30 minutes early.
  • Downloaded the current Exam Guide once more to confirm no weight changes.
  • Sleep. No new studying after the −1 review.

Retake strategy by domain score

If you fail (or want to convert a marginal pass into a strong renewal baseline), use the score report’s per-domain breakdown to target the retake. Respect the 14-day minimum before the first retake.

Weakest-domain scoreInterpretationRetake plan
0–40%Conceptual gap, not test nervesRe-study that domain page fully + its practice questions; rebuild the hands-on deliverable; wait the full interval
41–60%Knows the topic, misses the trade-offDrill the decision tables and signal-word index for that domain; re-do missed items explaining every distractor
61–79%Careless / time pressureTimed drills on that domain only; practise eliminating distractor patterns fast
≥80% but overall failedBroad thin coverage, no single weak domainFull mixed-domain practice under time; focus on multi-constraint “FIRST/MOST/TWO” items

Retake anti-pattern

Do not simply re-sit sooner hoping for easier questions. The item bank rotates; a failed attempt on the same weak domain wastes one of your four yearly attempts. Fix the domain, verify with a timed practice exam, then rebook.

Last updated Sep 18, 2026