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The Claude Certified Architect - Professional exam (code CCAR-P) is the senior tier for architects who own Claude solutions end to end: translating a business problem into an architecture, defending the trade-offs, and standing behind it through governance, evaluation, and handoff. Bayesian Knowledge Tracing maps every judgment the exam rewards, pattern selection, multi-agent orchestration, RAG and retrieval design, evaluation strategy, guardrails and compliance, and stakeholder communication, to a live probability of mastery. We show you exactly where your reasoning is thin and drill it until it holds.
- Concepts
- 200
- Mastery threshold
- 0.90
- Domains
- 7
Domain mastery
Your live mastery map
Updated after every answer. Threshold to retire a concept: 0.90.
Claude Certified Architect - Professional
The Claude Certified Architect - Professional (CCAR-P) is Anthropic's advanced architect exam. It goes beyond foundations into end-to-end solution design, evaluation and optimisation, governance and risk, and stakeholder communication, across 7 weighted domains and 63 questions, priced at $175. This is the senior architect exam our adaptive engine now preps end to end.
- $175
- exam fee
- 63
- questions
- 120 min
- time limit
- 720
- to pass (of 1000)
- 12 mo
- valid for
Official resources
Book the exam and read the official guide
The official exam guide and registration live with Anthropic and Pearson VUE. Start there, then use our adaptive engine to get exam-ready.
Official Anthropic resources · AI Skill Certs is an independent prep platform, not affiliated with Anthropic.
The exam for senior architects
to pass.In 4 weeks.
The exam tests architectural judgment at scale: designing end-to-end solutions, integrating Claude into enterprise systems, defining evaluation and optimisation strategy, governing risk and compliance, and carrying stakeholders through the delivery lifecycle. So that's exactly what we drill, until your readiness score clears 720. Below it after four weeks? Your next month is on us.
Diagnostic in 20 minutes. No credit card to start.
How we get you there
Diagnostic in 20 minutes. Plan in 1 hour. Pass in 4 weeks.
720 to pass · we don't release you below 800 in mock
Diagnostic and plan
- 20-minute scenario diagnostic across all five domains
- Initial mastery probability for each of 175 production patterns
- Daily plan locked onto your weakest 30 patterns first
Drill the build patterns
- MCP tool design, model routing, hooks, structured outputs
- Concepts retire only at 0.90 probability
- First scenario-based mock at end of week
Transfer to scenarios
- Archie sessions on every fragile pattern
- Cross-domain scenarios: agent loops + hooks + JSON in one question
- Mid-course mock targeting 700+
Mock until 800+
- Full-length scenario mocks every 48 hours
- We don't release you below 800 in mock
- Sit the exam with confidence, not hope
Mastery proof
Every judgment, ordered by the graph.
Two artefacts every learner sees from day one: a live concept heatmap and the prerequisite graph that decides what you study next. The professional graph runs on exactly the same machinery as our foundations tracks, one tier up in stakes.
Concept space
175 concepts. One probability each.
Knowledge graph fragment
Prerequisites are non-negotiable
Domain 1: Agentic Architecture, 12 of 36 concepts shown
Mapped to the official exam
Seven domains. Thirty-eight task statements. Weighted to the senior architect.
The Claude Certified Architect - Professional exam (CCAR-P) validates that you can design, defend, and govern Claude solutions across the full delivery lifecycle. The breakdown below comes straight from Anthropic's exam guide. We drill every task statement under every domain, in prerequisite order, until your mastery probability clears 0.90 on each.
Solution Design & Architecture
Turning a business problem into an end-to-end Claude architecture: choosing between workflow, agentic, and augmented-LLM patterns, orchestrating multi-agent systems, decomposing hard problems, and tying every choice back to a business-value pillar.
6 task statements
Claude Models, Prompting & Context Engineering
Model selection by trade-off, system prompts and guardrails, prompt-engineering technique, and disciplined context and token management with caching, modular prompts, and Skills for reuse at scale.
5 task statements
Integration
The largest slice of the exam: right-sizing tools and agents against capability bloat, closing auth and observability gaps, designing RAG pipelines and retrieval matched to data shape, and selecting the integration mechanism, MCP, API/CLI, or agent-to-agent.
8 task statements
Evaluation, Testing & Optimization
Defining evaluation metrics and datasets, running A/B tests and iterative improvement, diagnosing prompt failures, hallucinations, and model mismatch, and optimising token usage, latency, and cost with real observability.
6 task statements
Governance, Safety & Risk Management
Guardrails and safety controls, the failure modes and limitations of LLM systems, human-in-the-loop validation, regulatory compliance across GDPR, HIPAA, and FedRAMP, and the ethics of bias, fairness, and transparency.
5 task statements
Stakeholder Communication & Lifecycle Management
Structured discovery and requirement gathering, communicating architectural decisions and trade-offs, managing feedback loops and SLAs, and documenting and supporting solutions across discovery, design, handoff, monitoring, and iteration.
5 task statements
Developer Productivity & Operational Enablement
Configuring Claude tooling and environments for teams, improving developer workflows with AI-assisted tooling like Claude Code, and supporting debugging and operational issue resolution.
3 task statements
The exam, in numbers.
- Domains
- 7
- Task statements
- 38
- Scenarios
- 0
- Pass score
- 720
Scaled 100 to 1000. Scenario-based multiple choice. Source: Anthropic's official exam guide.
How it works
Three layers, one job: get you to 0.90 on every pattern you'll ship.
They run as a closed loop. The graph decides what you study, the engine measures whether it stuck, and Archie teaches the gap, then every answer flows back into the engine and re-orders tomorrow's plan. You never study the wrong thing twice.
Knowledge graph
200 concepts. Every one a thing you'll do at the keyboard, not just on the test.
MCP tool schemas, hook ordering, subagent context-passing, model-routing trade-offs, JSON repair patterns: every exam concept is mapped to the production pattern it represents and locked behind its prerequisites. No skipping ahead, no reasoning about hooks before you've nailed the agent loop.
DAG · 200 concepts · 38 task statements · 7 domains
Threshold 0.90
BKT engine
Mastery threshold 0.90. No shipping with a 0.7 on hooks.
Bayesian Knowledge Tracing keeps a live probability that you have actually mastered each pattern. We retire a concept at 0.90 and bring it back the instant a downstream scenario reveals regression. The exam catches a 0.7. So does production.
BKT · per-learner parameters · regression detection
Archie
A Socratic tutor that pressure-tests build decisions.
Archie is built on Claude and constrained to certification content. He never gives the answer. He asks the next question, about your routing decision, your tool schema, your loop termination logic. Every exchange feeds back into the BKT layer, so tomorrow's drills target what you actually struggled to ship.
Claude · graduated hints · misconception detection
Graph orders → engine measures → Archie teaches → engine updates → graph re-orders. The loop never opens.
Built around how you learn
One concept. Three ways in.
Some patterns land as prose. Some only make sense as a diagram. Some you have to watch someone build. So every concept comes three ways: read it, see it, or watch it. You pick the format that clicks for you when you start; it leads every topic. The other two stay one tap away.
The agent loop
An agent runs a loop: the model proposes a tool call, the harness executes it, the result is fed back, and the loop repeats until a stopping condition is met. Your job is to define that stopping condition precisely.
Key concepts
- Tool-call → execute → observe cycle
- Loop termination logic
- Context accumulation per turn
Rendered from the knowledge point's summary + key concepts
Set your default in onboarding · change it any time in settings · every format logs back to the engine
Browse every CCAR-P concept
Open the concept library filtered to this exam - every knowledge point with worked examples, diagrams, official Academy lessons, and practice questions.
Tutor in the loop
Every Archie exchange writes back to the engine.
You won't see the BKT update in real time, but it's happening on every reply. A clean reasoning chain pushes the concept's probability up. A near-miss marks the concept fragile and schedules a return.
- Avg. exchanges per concept
- 2.3
- Hint levels available
- 3
Live in the engine
Concept KP-042 just updated your mastery probability for Prompt Hierarchy from 0.62 to 0.71.
Frequently asked
The questions senior architects ask before they buy.
Senior and lead architects who own Claude solutions end to end: translating business problems into architectures, defending trade-offs, and carrying them through governance, evaluation, and handoff. If you already have the foundations material and are shipping production Claude systems at scale, you are the target. We assume the foundations; we drill the judgment the professional exam tests, in the order that builds correctly.
The Claude Certified Architect - Professional exam (CCAR-P) runs seven domains across thirty-eight task statements, scored 100 to 1000 with 720 to pass. It has 63 questions in 120 minutes. Unlike the architect foundations exam it has no fixed scenario bank; items are written directly against the domain objectives. Most items are single-answer, and a few ask you to select more than one option, with each item stating how many responses to pick.
Yes. The professional exam builds directly on the architect foundations material, so passing the Architect Foundations exam (CCAR-F) is the natural first step. Because we track mastery per concept, the work you did on the foundations track is not repeated here, it carries forward, and the engine spends your time on the professional-tier judgment instead.
Archie is a Socratic tutor built on Claude. He does not quiz you on definitions. He interrogates the decisions you would make as the architect on the hook: which pattern fits the problem, where the observability gap is, how to design the RAG pipeline, which risks need a human in the loop, and how to defend the trade-off to a stakeholder. Every exchange is grounded in a concept ID and a task statement, and feeds back into the engine that picks tomorrow's drill.
BKT keeps a live probability that you have actually mastered each concept, between 0 and 1. Every answer nudges that probability. Once a concept clears 0.90 we stop drilling it and shift attention to your weak areas. It is the same model used by some of the best adaptive systems in education.
The CCAR-P exam costs $175, more than the foundations exams because it targets senior architects, and is booked through Pearson VUE. We are prep only and not affiliated with Anthropic: you book the official sitting yourself. What we do is get you exam-ready, with a readiness score that maps tightly to actual performance.
Plan for 30 to 45 minutes a day across four weeks. We track your time and adjust the daily plan if you fall behind. The engine retires a concept only when your mastery probability clears 0.90, so the plan ends when you are ready, not on a fixed date.
Yes. Because we track mastery per concept rather than per course, the concepts this exam shares with the architect foundations track, solution design, prompting and context engineering, integration, and governance, count towards both. Time spent on either track is never wasted when you move up a tier.
Your study history stays yours. We use it to personalise your plan and aggregate it anonymously to improve the question bank. We do not sell data, we do not train external models on it, and you can export or delete your account at any time.
Start your diagnostic
Stop studying. Start shipping.
20 minutes to your first mastery map. From there, the engine drills you on the judgment the exam actually rewards: end-to-end solution design, enterprise integration, evaluation strategy, governance, and stakeholder communication.