CCAR-P Study Guide

CCAR-P cheat sheet

What to hold in memory the morning of the exam.

Exam facts

Scored questions63Time120 minutes (~1.9 min each)
Pass mark720 / 1,000 scaledFormatStandalone items, multiple choice and multiple response
PrerequisitesNoneValidity12 months

Domain weights, in order

WeightDomain
19%Integration
17%Solution Design and Architecture
16%Evaluation, Testing and Optimisation
14%Governance, Safety and Risk
14%Stakeholder Communication and Lifecycle
13%Claude Models, Prompting and Context Engineering
7%Developer Productivity and Operational Enablement

The three domains with no Foundations equivalent — governance, stakeholder and enablement — total 35%.

The defensibility test

Every design decision needs a stated trade-off, a measurement, and an owner. An option missing any of the three is usually the distractor.

Guardrail layers, strongest first

  1. Architectural — the capability does not exist
  2. Deterministic validation — schemas, business rules, policy in code
  3. Model-based screening — cheap classifier over inputs and tool outputs
  4. Prompt-level — hardened prompts, untrusted-content policy
  5. Human review — for the cases the stakes demand

RAG pipeline and its failure at each stage

StageFails as
ChunkingContext-stripped chunks
Contextual enrichmentSkipped — chunking failure persists
Embedding searchMisses exact identifiers and rare terms
Lexical (BM25)Misses paraphrase — hence hybrid
RerankingOmitted — marginal chunks distract and inflate cost
CitationsAbsent — claims unverifiable

Published figures: contextual enrichment plus hybrid retrieval cuts top-20 retrieval failure by ~49%; adding reranking takes it to ~67%.

Citations

Enable per document; returns cited_text, document_index and a character, page or block location. More reliable than prompting for citations, and cited_text does not count toward output tokens. Not compatible with strict structured output.

Compliance quick reference

Anthropic holdsSOC 2 Type I and II · ISO/IEC 27001:2022 · ISO/IEC 42001:2023 (AI management) · HIPAA-ready with a BAA available
Commercial dataTeam, Enterprise and API content is not used to train models by default; zero data retention arrangements available
Data residencyCloud deployment surfaces offer regional endpoints, typically at a premium
Still yoursLawful basis, minimisation, retention, access control, audit evidence

High-risk domains needing human review and disclosure

Legal · Healthcare · Insurance · Financial advice · Employment · Housing and lending · Academic assessment · Journalism.

Observability: log per request

request_id · model and version · prompt version · stop_reason · full usage including cache fields · TTFT and total latency · tool calls and errors · what was retrieved and what was cited · validation and guardrail outcomes · escalations · cost attributed to tenant or feature.

Safe change sequence

Offline evals → shadow run on real traffic → A/B with limited exposure → full rollout. One variable at a time. Watch cost and latency alongside quality.

What you can and cannot put in an SLA

CanAvailability, latency percentiles, accuracy against a defined eval set, escalation turnaround, time to detect degradation
CannotCorrectness guarantees on arbitrary inputs, or that degradation will not occur

Carried over from Foundations, still examinable

Branch on stop_reason, never on prose · schemas constrain shape, not truth · 4 cache breakpoints ordered tools → system → messages, reads 0.1× and exempt from ITPM · Batches 50% off but asynchronous up to 24 h · retry 429/500/504/529, never 400/401/403/404/413 · subagents inherit only the prompt string · CLAUDE.md guides, settings and hooks enforce.

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