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Anthropic CCAR-P Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Evaluation, Testing & Optimization16%- System issue diagnosis
- Cost and performance optimization
- Production monitoring and optimization
- Evaluation metrics and datasets
- Evaluation framework design
- A/B testing
Topic 2: Developer Productivity & Operational Enablement7%- AI-assisted developer workflows
- Developer enablement
- Claude tooling configuration for teams
- Debugging and operational issue resolution
Topic 3: Solution Design & Architecture17%- Architectural patterns
  • 1. Agentic architectures
    • 2. Workflow architectures
      • 3. Augmented LLM architectures
        - End-to-end architecture design
        - Alignment with business value, cost, performance, and SLAs
        - Multi-agent systems and orchestration
        - Translating business problems into Claude-based AI solutions
        - Decomposition techniques for complex problem solving
        Topic 4: Integration19%- RAG pipeline design
        • 1. Indexing
          • 2. Chunking
            • 3. Retrieval
              - Authentication and authorization analysis
              - Enterprise system integration
              - Claude integration mechanisms
              • 1. API and CLI
                • 2. MCP
                  • 3. Agent-to-agent integration
                    Topic 5: Governance, Safety & Risk Management14%- Security and risk management
                    - Regulatory and compliance requirements
                    - AI safety and guardrails
                    - Ethical AI considerations
                    - Human-in-the-loop validation
                    Topic 6: Stakeholder Communication & Lifecycle Management14%- Architecture documentation
                    - Service-level agreements
                    - Solution lifecycle management
                    - Stakeholder management
                    - Discovery and requirements gathering
                    - Communicating architectural decisions
                    Topic 7: Claude Models, Prompting & Context Engineering13%- System prompts and prompt templates
                    - Context window optimization
                    - Claude model selection and trade-offs
                    - Prompt reuse and context engineering strategies
                    - Guardrails

                    Anthropic Claude Certified Architect - Professional Sample Questions:

                    Question 1

                    You are designing a human-in-the-loop validation workflow for a new Claude-based deployment and must complete the design steps before piloting the workflow.
                    Which two steps must be completed BEFORE piloting the workflow with a representative subset of traffic?
                    (Select two.)
                    Each correct answer presents part of the solution.

                    A. Identify the decision points in the pipeline that require human oversight by impact and reversibility.
                    B. Define the sampling strategy and the escalation criteria at each oversight point in the pipeline.
                    C. Document the workflow with check criteria, escalation paths, and service-level agreements (SLAs) for each step.
                    D. Iterate the workflow design based on observed pilot findings before broader rollout to production.
                    E. Onboard the reviewer pool with role-specific training on the check criteria and escalation procedures.


                    Question 2

                    You are compiling guardrail tactics for a customer-facing assistant.
                    Which two tactics belong on the guardrail list?
                    Each correct answer presents a complete solution.

                    A. Lower sampling temperature globally to reduce the chance of off-policy completions.
                    B. Layer prompt-level guardrails with runtime content checks rather than relying on either alone.
                    C. Validate the model output against a structured schema before downstream actions are taken.
                    D. Embed approved override phrases that let trusted users relax guardrails on demand.
                    E. Rely on a single hardened system prompt that enumerates every disallowed behavior.


                    Question 3

                    You are classifying token-management tactics by where each tactic applies in the request lifecycle: "Input Preparation," "Prompt Construction," or "Output Handling."


                    Question 4

                    You are integrating human review into a high-volume classification pipeline where reviewing every output is infeasible.
                    Which sampling strategy best balances throughput with quality oversight?

                    A. Inverse sampling that reviews only high-confidence routine outputs and skips low-confidence and high- impact outputs.
                    B. Universal review of every output regardless of confidence or throughput impact.
                    C. Risk-stratified sampling that reviews all low-confidence and high-impact outputs and a smaller random sample of high-confidence routine outputs.
                    D. No sampling, relying entirely on user complaints to reveal quality and safety problems after they affect users.


                    Question 5

                    You are supporting an EU-based deployment with GDPR obligations.
                    Which combination of measures best supports the deployment's GDPR posture?

                    A. enterprise-tier deployment with a signed Data Processing Addendum, defined data-retention configuration, redaction of personal data not needed for the task, and documented data-subject-rights handling
                    B. disabling all data-retention configuration, redaction controls, and data-subject-rights handling to simplify day-to-day operations, accepting the resulting GDPR compliance exposure
                    C. using a personal Claude account tier for processing EU personal data at scale, with no signed Data Processing Addendum and no documented data-subject-rights handling procedure
                    D. pasting full EU personal data into every prompt to "give Claude complete context" without considering purpose limitation, data minimization, or the organization's Data Processing Addendum obligations


                    Solutions:

                    Question 1
                    Answer: A,B
                    Question 2
                    Answer: B,C
                    Question 3
                    Answer: Only visible for members
                    Question 4
                    Answer: C
                    Question 5
                    Answer: A

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