Exam Name: Claude Certified Architect - Professional
Certification Provider: Anthropic
Corresponding Certification: Claude Certified Architect
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Anthropic CCAR-P Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Developer Productivity & Operational Enablement | 7% | - Improve developer workflows with AI-assisted tooling - Support debugging, monitoring, and operational resolution - Configure Claude tools and environments for teams |
| Topic 2: Claude Models, Prompting & Context Engineering | 13% | - Design system prompts, templates, and guardrails - Select appropriate Claude models based on trade-offs - Apply context engineering and context management techniques - Mitigate prompt injection, leaks, and jailbreak risks |
| Topic 3: Solution Design & Architecture | 17% | - Design multi-agent systems and orchestration strategies - Design end-to-end architectures and feedback loops - Select architectural patterns: workflow, agentic, augmented LLM - Align solutions to business value pillars - Translate business problems into Claude-based AI solutions |
| Topic 4: Evaluation, Testing & Optimization | 16% | - Optimize performance, prompting, and model selection - Define evaluation metrics and success criteria - Test accuracy, reliability, latency, and cost - Implement iterative improvement pipelines |
| Topic 5: Integration | 19% | - Integrate with data pipelines and RAG systems - Implement Model Context Protocol (MCP) integrations - Integrate Claude with enterprise systems, APIs, and tools - Design authentication, authorization, and observability |
| Topic 6: Governance, Safety & Risk Management | 14% | - Address ethical AI considerations and bias mitigation - Implement guardrails and safety controls - Manage data privacy and security compliance - Ensure regulatory compliance (GDPR, HIPAA, etc.) |
| Topic 7: Stakeholder Communication & Lifecycle Management | 14% | - Communicate architectural decisions and trade-offs - Document architectures and support full lifecycle phases - Conduct structured discovery and requirement gathering - Manage stakeholder feedback and expectation alignment |
Anthropic Claude Certified Architect - Professional Sample Questions:
You are compiling factors that should drive the choice between Model Context Protocol (MCP), direct API integration, and agent-to-agent handoff.
Which two factors belong on the list? (Select two.)
Each correct answer presents a complete solution.
- A. Whether the integration must be portable across multiple AI clients in the ecosystem.
- B. Whether the team has prior implementation experience with any of the candidate protocols.
- C. Whether the interaction is stateless and latency-sensitive or stateful and longer-running.
- D. Whether the underlying transport supports encryption in transit between the integrated services.
- E. Whether the vendor publishes detailed reference documentation for each candidate protocol.
Correct Answer: A,C 🗳️
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You are evaluating an evaluation set used to score a Claude-based hiring-support tool. The set is drawn from one geographic region and one tenure band.
Which response is most appropriate?
- A. Continue using the narrow evaluation set drawn from one region and one tenure band because the existing benchmark scores are already high on that subset.
- B. Replace quantitative evaluation with qualitative impressions from a small pilot group.
- C. Narrow the evaluation set to a single demographic subgroup to simplify score interpretation.
- D. Expand the evaluation set to cover the geographic regions and tenure bands the tool will serve, and rescore the system on the expanded set before broader release.
Correct Answer: D 🗳️
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You are building an evaluation pipeline for a Claude-based deployment and must complete the specification steps before running the deployment against the dataset.
Which two steps must be completed BEFORE running the deployment against the evaluation dataset? (Select two.) Each correct answer presents part of the solution.
- A. Curate and label the evaluation dataset to match the defined slices.
- B. Review failure cases with subject matter experts to refine the scoring rubric.
- C. Publish the aggregated metrics to a dashboard and gate releases on threshold checks.
- D. Score the deployment outputs against the reference labels and aggregate the metrics.
- E. Define the metrics and slices the framework will report across representative, edge, and adversarial cases.
Correct Answer: A,E 🗳️
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You are reviewing a peer's end-to-end design for a Claude-based platform expected to scale to thousands of concurrent users.
For each statement, indicate Yes if it reflects sound architectural practice. Otherwise, select No.
Correct Answer:
Explanation:
Authentication and authorization run before retrieval so retrieval can filter by identity - Yes An asynchronous queue absorbs bursty traffic between intake and the model-invocation layer - Yes Tax computation is encoded directly in the system prompt rather than in code - No Conversation logs include unredacted government identifiers to maximize tuning signal - No Authentication and authorization must precede retrieval so unauthorized information never enters model context. An asynchronous queue is appropriate for burst absorption, backpressure, controlled concurrency, and retry management at scale. Deterministic tax computation should be implemented in validated code or a controlled calculation tool, not delegated to probabilistic prompt interpretation. Including unredacted government identifiers in conversation logs violates data-minimization principles and creates unnecessary privacy, security, and regulatory exposure. Sensitive fields should be removed, tokenized, or redacted before logging or model use unless specifically required and authorized. The resulting design separates deterministic computation, access control, scalable orchestration, and language reasoning into appropriate architectural layers.
You are defining an SLA for a Claude-based assistant.
Which SLA definition is most operationally meaningful?
- A. A qualitative commitment such as "the system will be fast and reliable," which names no metric, threshold, or evaluation window.
- B. A measurable target with a defined metric, threshold, evaluation window, and consequence for breach- for example, "p95 per-request latency under 800 ms over a 28-day window."
- C. A target tied to a stakeholder sentiment measure such as "the team feels satisfied," which cannot be measured objectively or used to trigger a documented breach response.
- D. A target that names the metric and threshold but omits the evaluation window and breach consequence, leaving compliance periods and remediation triggers undefined.
Correct Answer: B 🗳️
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