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Anthropic CCAR-P

CCAR-P

Exam Code: CCAR-P

Exam Name: Claude Certified Architect - Professional

Updated: Aug 23, 2026

Q&A Number: 116 Q&As

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Anthropic CCAR-P Exam Syllabus Topics:

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

                    Anthropic Claude Certified Architect - Professional Sample Questions:

                    1. A Claude architect is leading the discovery phase for a new AI-powered customer service solution.
                    Which two activities are characteristic of structured discovery and requirement gathering for a Claude-based deployment? (Select two.)

                    A) Generating an initial prototype and iterating based on user reaction rather than written requirements.
                    B) Documenting explicit success criteria and failure thresholds that will gate production deployment.
                    C) Selecting the Claude model tier based on the architect's prior project experience before stakeholder input is collected.
                    D) Deferring constraint documentation until the integration design phase to avoid scope creep.
                    E) Facilitating stakeholder workshops to surface latency, accuracy, and compliance constraints before scoping begins.


                    2. You are diagnosing a Claude Code session whose subagent uses 50,000 tokens of context before the engineer types a single message.
                    Which root cause is most likely?

                    A) The developer's keyboard layout or input-method configuration is the cause of the elevated context consumption, introducing extra tokens before the engineer types any message.
                    B) Many MCP servers are configured, each contributing tool definitions to the context budget; Tool Search is not enabled, so all definitions load upfront.
                    C) The font rendering or display-scaling settings of the IDE are converting visual output into additional context tokens, causing the high pre-session context consumption.
                    D) The model has internal personal preferences or default behaviors that silently consume large portions of context budget before any user message is processed, independent of tool configuration.


                    3. You are building an ethics-review checklist for deployments supported by artificial intelligence.
                    Which two checks belong on the list? (Select two.)
                    Each correct answer presents a complete solution.

                    A) Confirm that high-impact decisions retain human accountability rather than being attributed to the model.
                    B) Verify that outputs do not rely on generalizations about people that the underlying data does not support.
                    C) Confirm that latency and throughput targets are met across supported user populations.
                    D) Confirm that vendor licensing terms permit the planned production use of the model.
                    E) Restrict ethics review to outputs that exceed a defined model-confidence threshold.


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


                    5. An operations engineer reports that a Claude-based pipeline began returning malformed JSON responses after a scheduled maintenance window, causing downstream processing failures.
                    Which two investigative steps most directly isolate the root cause? (Select two.)

                    A) Compare the current system prompt and output schema configuration against the last known good version from before the maintenance window.
                    B) Clear the prompt cache and resubmit all pending requests to eliminate stale cached prefixes.
                    C) Switch to a different Claude model tier to rule out provider-side changes as a contributing factor.
                    D) Replay a set of premaintenance requests against the current configuration and inspect the raw model output before downstream parsing.
                    E) Increase the max_tokens limit to determine whether output truncation is causing incomplete JSON structures.


                    Solutions:

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

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