Anthropic CCAR-P Exam Details & Actual Exam 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,22 2026
  • Certification Level: Professional

Anthropic Claude Certified Architect - Professional Exam Questions

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Anthropic CCAR-P Exam Overview:

Certification Vendor:Anthropic
Exam Name:Claude Certified Architect - Professional
Exam Number:CCAR-P
Exam Duration:120 minutes
Real Exam Qty:63
Exam Price:$175 USD
Related Certifications:Claude Certified Architect - Foundations (CCAR-F)
Exam Format:Multiple-choice, Multiple-response
Passing Score:720/1000
Available Languages:English
Certificate Validity Period:12 months from the date the credential is awarded
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
Developer Productivity & Operational Enablement7%- AI-assisted developer workflows
- Claude tooling configuration for teams
- Debugging and operational issue resolution
- Developer enablement
Evaluation, Testing & Optimization16%- System issue diagnosis
- Evaluation framework design
- A/B testing
- Evaluation metrics and datasets
- Production monitoring and optimization
- Cost and performance optimization
Integration19%- Claude integration mechanisms
  • 1. API and CLI
    • 2. Agent-to-agent integration
      • 3. MCP
        - RAG pipeline design
        • 1. Chunking
          • 2. Retrieval
            • 3. Indexing
              - Authentication and authorization analysis
              - Enterprise system integration
              Stakeholder Communication & Lifecycle Management14%- Architecture documentation
              - Solution lifecycle management
              - Discovery and requirements gathering
              - Communicating architectural decisions
              - Service-level agreements
              - Stakeholder management
              Solution Design & Architecture17%- Decomposition techniques for complex problem solving
              - Multi-agent systems and orchestration
              - End-to-end architecture design
              - Alignment with business value, cost, performance, and SLAs
              - Translating business problems into Claude-based AI solutions
              - Architectural patterns
              • 1. Agentic architectures
                • 2. Augmented LLM architectures
                  • 3. Workflow architectures
                    Claude Models, Prompting & Context Engineering13%- Prompt reuse and context engineering strategies
                    - Context window optimization
                    - Guardrails
                    - System prompts and prompt templates
                    - Claude model selection and trade-offs
                    Governance, Safety & Risk Management14%- Regulatory and compliance requirements
                    - AI safety and guardrails
                    - Ethical AI considerations
                    - Human-in-the-loop validation
                    - Security and risk management


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