Anthropic CCAR-P : Claude Certified Architect - Professional

CCAR-P testking pdf

Exam Code: CCAR-P

Exam Name: Claude Certified Architect - Professional

Updated: Aug 21, 2026

Q & A: 116 Questions and Answers

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Anthropic CCAR-P Exam Syllabus Topics:

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

                    Anthropic Claude Certified Architect - Professional Sample Questions:

                    1. You are listing characteristics of robust guardrail design for an enterprise deployment.
                    Which two characteristics belong on the list? (Select two.)
                    Each correct answer presents a complete solution.

                    A) Adversarial-input coverage in the evaluation set with regression tracking on guardrail performance.
                    B) User feedback channels that route reported guardrail failures into the product backlog for triage.
                    C) Periodic refresh of the system prompt wording to keep refusal language current and clear.
                    D) Centralized log retention for guardrail violations with quarterly review by the security team.
                    E) Per-role tool allow-lists enforced at the orchestration layer before any tool call executes.


                    2. You must present an architectural recommendation to deploy a Claude-based contract review assistant to a steering committee that includes the CFO, the general counsel, and the CIO. Each stakeholder cares about different aspects of the decision.
                    How should you structure the recommendation document?

                    A) Lead with detailed cost projections across the full multi-year horizon before the rationale section.
                    B) Lead with the technical architecture diagram and the full component list before any other section.
                    C) Present the same dense narrative throughout with no stakeholder differentiation in any section.
                    D) Lead with the architectural decision, then address each stakeholder's primary concerns directly.


                    3. A pilot AI assistant for procurement specialists shows 89 percent first-response acceptance, but follow-up surveys reveal that specialists frequently override the assistant's vendor recommendations after considering criteria the assistant did not evaluate. The pilot owner wants to ship the assistant unchanged because of the strong acceptance rate.
                    Which two Discernment-competency observations should you raise BEFORE approving the launch? (Select two.)

                    A) The survey response rate may not be statistically representative of all specialists.
                    B) The pilot duration was probably too short to demonstrate reliability across the full year.
                    C) Acceptance does not establish whether recommendations remain correct after specialist review.
                    D) The acceptance rate alone proves readiness for general production use.
                    E) The unconsidered criteria represent a scope gap in the assistant's input space.


                    4. A Claude Architect is reviewing a post-deployment performance report for an AI-assisted legal-document summarization system. The report includes these observations:
                    * Average summarization time decreased from 47 minutes to 6 minutes per document.
                    * Associates spend less time on summaries, but overall billable output has not measurably changed.
                    * Infrastructure costs increased by 22% because redundant retry logic generated additional API calls.
                    * Some summaries require attorney correction, adding an average of 8 minutes of review per document.
                    Which analysis correctly attributes each observation to the appropriate business-value pillar?

                    A) Observations 1 and 2 both indicate efficiency gains; Observation 3 is a solution-cost issue; Observation
                    4 is a performance-SLA issue.
                    B) Observation 1 indicates an efficiency gain; Observation 2 shows that productivity has not yet been realized; Observation 3 is a solution-cost issue; Observation 4 is an efficiency loss that partially offsets Observation 1.
                    C) Observation 1 is a transformation outcome; Observation 2 is an efficiency gain; Observation 3 is a performance-SLA degradation; Observation 4 is a solution-cost issue.
                    D) Observations 1 and 4 together indicate a net performance-SLA improvement; Observation 2 is a transformation gap; Observation 3 is a productivity drain from over-engineering.


                    5. After a prompt-template update, several previously passing test cases now produce unexpected outputs.
                    Which test type is specifically designed to detect this category of failure?

                    A) Adversarial tests that probe for prompt-injection vulnerabilities.
                    B) Regression tests scored against a stable reference set of known-good behavior.
                    C) Integration tests that validate cross-component pipeline behavior.
                    D) Smoke tests that confirm high-level system availability after the change.


                    Solutions:

                    Question # 1
                    Answer: A,E
                    Question # 2
                    Answer: D
                    Question # 3
                    Answer: C,E
                    Question # 4
                    Answer: B
                    Question # 5
                    Answer: B

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