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CCAR-PAnthropicExam Guide v1.0 (effective July 2026)

Claude Certified Architect – Professional

63 scenario questions across 7 domains in 120 minutes, scored 100 to 1,000 with a 720 pass mark: the same format as the official exam. Every option is explained.

63 questions120 minutesPass 720 / 1,0007 domains231 practice questionsOfficial exam page

Syllabus

7 domains · 38 skills, weighted like the official blueprint.

1Solution Design & Architecture17% of the exam · 6 skills
  • Translate business problems into Claude-based AI solutionsNot started
    2.8% · 6 questions
    Notes
  • Design end-to-end architectures (input → processing → output → feedback loops)Not started
    2.8% · 6 questions
    Notes
  • Select appropriate architectural patterns (workflow, agentic, augmented LLM)Not started
    2.8% · 6 questions
    Notes
  • Design multi-agent systems and orchestration strategiesNot started
    2.8% · 6 questions
    Notes
  • Apply decomposition techniques for complex problem solvingNot started
    2.9% · 6 questions
    Notes
  • Align solutions to business value pillars (efficiency, transformation, productivity, cost, performance SLAs)Not started
    2.9% · 6 questions
    Notes
2Claude Models, Prompting & Context Engineering13% of the exam · 5 skills
  • Select appropriate Claude models based on trade-offsNot started
    2.6% · 6 questions
    Notes
  • Design system prompts, templates, and guardrailsNot started
    2.6% · 6 questions
    Notes
  • Apply prompt engineering techniques (zero-shot, few-shot, chain-of-thought)Not started
    2.6% · 6 questions
    Notes
  • Optimize context windows and manage token usageNot started
    2.6% · 6 questions
    Notes
  • Implement prompt reuse strategies (caching, modular prompts, Skills)Not started
    2.6% · 7 questions
    Notes
3Integration19% of the exam · 8 skills
  • Evaluate tool/agent configuration for capability bloatNot started
    2.4% · 6 questions
    Notes
  • Analyze authentication and authorization requirements to identify security gapsNot started
    2.4% · 7 questions
    Notes
  • Evaluate accuracy-latency trade-offs and justify configuration decisionsNot started
    2.4% · 6 questions
    Notes
  • Analyze observability challenges and select monitoring strategies at scaleNot started
    2.4% · 6 questions
    Notes
  • Design a RAG pipeline with appropriate chunking and indexing strategiesNot started
    2.4% · 6 questions
    Notes
  • Apply retrieval strategies matched to data shape and query patternNot started
    2.4% · 6 questions
    Notes
  • Evaluate connection protocols and select the appropriate integration mechanism (MCP, API/CLI, agent-to-agent)Not started
    2.3% · 6 questions
    Notes
  • Evaluate progressive discovery vs. monolithic context strategyNot started
    2.3% · 6 questions
    Notes
4Evaluation, Testing & Optimization16% of the exam · 6 skills
  • Define evaluation metrics (accuracy, latency, cost, safety, security)Not started
    2.7% · 6 questions
    Notes
  • Design evaluation datasets and test frameworks using mixed methodologiesNot started
    2.7% · 6 questions
    Notes
  • Conduct A/B testing and iterative improvementsNot started
    2.7% · 6 questions
    Notes
  • Diagnose system issues (prompt failure, hallucinations, model mismatch)Not started
    2.7% · 7 questions
    Notes
  • Optimize token usage, latency, and cost-performance trade-offsNot started
    2.6% · 6 questions
    Notes
  • Monitor system performance using logging and observability toolsNot started
    2.6% · 6 questions
    Notes
5Governance, Safety & Risk Management14% of the exam · 5 skills
  • Implement guardrails and safety controlsNot started
    2.8% · 6 questions
    Notes
  • Identify risks, limitations, and failure modes of LLM systemsNot started
    2.8% · 6 questions
    Notes
  • Apply human-in-the-loop validation strategiesNot started
    2.8% · 6 questions
    Notes
  • Ensure compliance with regulations (e.g., GDPR, HIPAA, FedRAMP)Not started
    2.8% · 6 questions
    Notes
  • Address ethical AI considerations (bias, fairness, transparency)Not started
    2.8% · 6 questions
    Notes
6Stakeholder Communication & Lifecycle Management14% of the exam · 5 skills
  • Conduct structured discovery and requirement gatheringNot started
    2.8% · 6 questions
    Notes
  • Communicate architectural decisions and trade-offsNot started
    2.8% · 6 questions
    Notes
  • Manage stakeholder feedback loops and expectation alignment (including SLAs)Not started
    2.8% · 6 questions
    Notes
  • Document architectures and provide implementation guidanceNot started
    2.8% · 6 questions
    Notes
  • Support lifecycle phases (discovery, design, handoff, monitoring, iteration)Not started
    2.8% · 6 questions
    Notes
7Developer Productivity & Operational Enablement7% of the exam · 3 skills
  • Configure Claude tools and environments for teams (e.g., Claude Code)Not started
    2.4% · 6 questions
    Notes
  • Improve developer workflows using AI-assisted toolingNot started
    2.3% · 6 questions
    Notes
  • Support debugging and operational issue resolutionNot started
    2.3% · 6 questions
    Notes

Sample questions with answers

10 questions from the CCAR-P bank, with an explanation for every option. No sign-up needed.

See sample questions

Questions about this exam

How many questions are in the CCAR-P practice exam, and how long is it?

63 questions in 120 minutes. Each mock draws questions from every domain in proportion to its weight, so the mix matches the blueprint.

What score do you need to pass CCAR-P?

Results are reported from 100 to 1,000, and 720 is the passing score used in these mocks. Harder questions carry more weight.

What does the CCAR-P exam cover?

7 domains: Solution Design & Architecture (17%), Claude Models, Prompting & Context Engineering (13%), Integration (19%), Evaluation, Testing & Optimization (16%), Governance, Safety & Risk Management (14%), Stakeholder Communication & Lifecycle Management (14%) and Developer Productivity & Operational Enablement (7%).

How can I practise for it?

Start with the free 15-question diagnostic to find your weak spots, drill any skill with an explanation after every answer, retry your mistakes with spaced review, then sit timed full mocks.

How is my readiness score worked out?

It weighs your recent answers on each skill by difficulty, combines the skills by their exam weight into a predicted score, and reports your chance of reaching the pass mark. How scoring works

Is this the official CCAR-P exam?

No. quizzMonkey is an independent practice platform and isn't affiliated with Anthropic. Practise here, then book the real exam with the vendor. Readiness certificates are not official credentials. Official exam page