Anthropic CCAR-P Exam Information and Actual Questions

  • Exam Code/Number: CCAR-P
  • Exam Name/Title: Claude Certified Architect - Professional
  • Certification Provider: Anthropic
  • Corresponding Certification: Claude Certified Architect
  • Exam Questions: 116
  • Updated On: Aug 21, 2026

CCAR-P
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Anthropic
CCAR-P Exam
Claude Certified Architect - Professional

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Anthropic CCAR-P Exam Overview:

Certification Vendor:Anthropic
Exam Name:Claude Certified Architect - Professional
Exam Number:CCAR-P
Passing Score:720/1000
Exam Format:Multiple-choice, Multiple-response
Related Certifications:Claude Certified Architect - Foundations (CCAR-F)
Certificate Validity Period:12 months from the date the credential is awarded
Real Exam Qty:63
Exam Price:$175 USD
Exam Duration:120 minutes
Available Languages:English
Sample Questions:Anthropic CCAR-P Sample Questions
Exam Way:Proctored through Pearson VUE, either online-proctored or at a Pearson VUE test center.
Pre Condition:No prerequisite course, examination, or prior Claude certification is required. Anthropic recommends 3+ years of systems architecture or platform engineering experience and 6+ months of hands-on experience with Claude or comparable LLM systems in production. Registration is currently associated with the Claude Partner Network/Partner Academy.
Official Syllabus URL:https://www.anthropic.com/partners

Anthropic CCAR-P Exam Syllabus Topics:

SectionWeightObjectives
Claude Models, Prompting & Context Engineering13%- Guardrails
- Context window optimization
- System prompts and prompt templates
- Claude model selection and trade-offs
- Prompt reuse and context engineering strategies
Evaluation, Testing & Optimization16%- System issue diagnosis
- Evaluation metrics and datasets
- Production monitoring and optimization
- Evaluation framework design
- Cost and performance optimization
- A/B testing
Stakeholder Communication & Lifecycle Management14%- Solution lifecycle management
- Service-level agreements
- Communicating architectural decisions
- Architecture documentation
- Stakeholder management
- Discovery and requirements gathering
Integration19%- Claude integration mechanisms
  • 1. MCP
    • 2. Agent-to-agent integration
      • 3. API and CLI
        - Enterprise system integration
        - Authentication and authorization analysis
        - RAG pipeline design
        • 1. Chunking
          • 2. Retrieval
            • 3. Indexing
              Governance, Safety & Risk Management14%- Ethical AI considerations
              - Security and risk management
              - Human-in-the-loop validation
              - AI safety and guardrails
              - Regulatory and compliance requirements
              Solution Design & Architecture17%- Architectural patterns
              • 1. Workflow architectures
                • 2. Agentic architectures
                  • 3. Augmented LLM architectures
                    - End-to-end architecture design
                    - Translating business problems into Claude-based AI solutions
                    - Decomposition techniques for complex problem solving
                    - Alignment with business value, cost, performance, and SLAs
                    - Multi-agent systems and orchestration
                    Developer Productivity & Operational Enablement7%- Debugging and operational issue resolution
                    - Developer enablement
                    - AI-assisted developer workflows
                    - Claude tooling configuration for teams


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