Anthropic · Architect (Professional)

Claude Certified Architect – Professional

The most advanced Claude credential. Covers enterprise solution design, production integration, governance and risk, stakeholder and lifecycle management, and enabling developer teams at scale.

Who it's for: Advanced practitioners designing Claude deployments at enterprise scale.

CCAR-P63 questions120 minutes720/1000 to pass

Exam format

CCAR-P at a glance

The numbers that shape how you should prepare.

63Questions
120Minutes
720To pass /1000
7Domains
38Objectives
CertificationClaude Certified Architect – Professional
Exam codeCCAR-P
Item formatMultiple-choice and scenario-based multiple-response
DeliveryProctored via Pearson VUE — online or test centre, closed book
ScoringScaled 100–1000; 720 required to pass
PaceAbout 114 seconds per item

Before you book: check you're eligible

Claude certification exams are currently open to people at Claude Partner Network organizations, and registration needs a partner email on a recognized company domain — a personal Gmail address will be rejected. Joining the Partner Network is free. Read the full eligibility guide →

The blueprint

Exactly what CCAR-P tests you on

7 domains and 38 published objectives. Every objective below is a skill the exam can assess — treat this as your revision checklist. The bars show how many objectives each domain carries.

Solution Design & Architecture

6 published objectives

16%
  • Translate business problems into Claude-based AI solutions
  • Design end-to-end architectures (input, processing, output, feedback loops)
  • Select appropriate architectural patterns (workflow, agentic, augmented LLM)
  • Design multi-agent systems and orchestration strategies
  • Apply decomposition techniques for complex problem solving
  • Align solutions to business value pillars

Claude Models, Prompting & Context Engineering

5 published objectives

13%
  • Select appropriate Claude models based on trade-offs
  • Design system prompts, templates, and guardrails
  • Apply prompt engineering techniques (zero-shot, few-shot, chain-of-thought)
  • Optimize context windows and manage token usage
  • Implement prompt reuse strategies (caching, modular prompts, Skills)

Integration

8 published objectives

21%
  • Evaluate tool/agent configuration for capability bloat
  • Analyze authentication and authorization requirements to identify security gaps
  • Evaluate accuracy-latency trade-offs and justify configuration decisions
  • Analyze observability challenges and select monitoring strategies at scale
  • Design a RAG pipeline with appropriate chunking and indexing strategies
  • Apply retrieval strategies matched to data shape and query pattern
  • Evaluate connection protocols and select the appropriate integration mechanism
  • Evaluate progressive discovery vs. monolithic context strategy

Evaluation, Testing & Optimization

6 published objectives

16%
  • Define evaluation metrics (accuracy, latency, cost, safety, security)
  • Design evaluation datasets and test frameworks using mixed methodologies
  • Conduct A/B testing and iterative improvements
  • Diagnose system issues (prompt failure, hallucinations, model mismatch)
  • Optimize token usage, latency, and cost-performance trade-offs
  • Monitor system performance using logging and observability tools

Governance, Safety & Risk Management

5 published objectives

13%
  • Implement guardrails and safety controls
  • Identify risks, limitations, and failure modes of LLM systems
  • Apply human-in-the-loop validation strategies
  • Ensure compliance with regulations (e.g., GDPR, HIPAA, FedRAMP)
  • Address ethical AI considerations (bias, fairness, transparency)

Stakeholder Communication & Lifecycle Management

5 published objectives

13%
  • Conduct structured discovery and requirement gathering
  • Communicate architectural decisions and trade-offs
  • Manage stakeholder feedback loops and expectation alignment (including SLAs)
  • Document architectures and provide implementation guidance
  • Support lifecycle phases (discovery, design, handoff, monitoring, iteration)

Developer Productivity & Operational Enablement

3 published objectives

8%
  • Configure Claude tools and environments for teams (e.g., Claude Code)
  • Improve developer workflows using AI-assisted tooling
  • Support debugging and operational issue resolution

Percentages show each domain's share of the published objectives — a guide to where the blueprint is densest. They are not Anthropic's official exam weightings.

Study strategy

How to focus your CCAR-P prep

Strategy derived from the published blueprint and the exam's format — not recollections of live exam content, which candidates are bound not to share.

Start with the blueprint, not a course. The 38 objectives above are the actual assessed skills. Rate yourself 1–5 on each, then spend your time on the 1s and 2s.

“Integration” carries the most published objectives (8 of 38), making it the densest area of the blueprint — a sensible place to go deep first.

Practise under the real clock. 63 items in 120 minutes is about 114 seconds per item. Timing pressure, not knowledge, is what most candidates underestimate.

Read every item's response count. Items state how many options to select; multiple-response questions are where careless marks are lost.

Build something real. These are scenario-based exams — questions describe situations rather than quiz definitions, so hands-on familiarity beats memorisation.

Rehearse closed-book. No notes, docs, or AI assistance are permitted, so practise the same way from the start.

Practise until you're consistently clearing 720

Anthropic retired its official practice exam in the move to Pearson VUE. Cred Farmer covers CCAR-P with study sections mapped to all 7 domains, four full 63-question mock exams plus a mastery test, flashcard drills, and a readiness score broken down per domain. Free while in open beta.

Start CCAR-P prep free

Questions

CCAR-P FAQ

The questions candidates ask most often.

Who can take the CCAR-P exam?

Claude certification exams are currently available to people at organizations in the Claude Partner Network, and registration requires a partner email address on a recognized company domain — personal email addresses are not accepted. Partner Network membership has no fee, though joining commits the organization to certifying practitioners. Check your eligibility before you book.

How many questions is the CCAR-P exam, and how long do I get?

Claude Certified Architect – Professional is 63 items in 120 minutes. Items are multiple-choice and scenario-based multiple-response; each item states how many responses to select. Expect additional seat time for check-in on top of the 120-minute clock.

What score do I need to pass CCAR-P?

720 on a scaled range of 100–1000. Scaled scoring equates results across exam forms that may differ slightly in difficulty, so the raw number of questions you need right is not fixed.

Is there an official CCAR-P practice exam?

No. Anthropic's practice exam was retired when exam delivery moved to Pearson VUE, so the only official practice material is the sample questions inside the exam guide. That gap is why Cred Farmer provides four full-length 63-question mock exams plus a mastery test for CCAR-P.

How long should I study for CCAR-P?

It depends on your starting point. If you already build with Claude regularly, working through the 7 domains and 38 objectives plus timed practice is usually a focused week or two. If the material is new, plan several weeks and lean on repetition rather than a single pass.

Is the CCAR-P exam open book?

No. All Claude certification exams are closed book. Notes, documentation, and AI assistants are not permitted during the exam, and sessions are proctored with identity verification.

Not affiliated with, or endorsed by, Anthropic or Pearson VUE. Exam details are summarised from publicly published program information and can change — always confirm against the official exam guide before booking.

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