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Anthropic CCAR-P Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Solution Design & Architecture | 17% | - Select architectural patterns: workflow, agentic, augmented LLM - Design multi-agent systems and orchestration strategies - Align solutions to business value pillars - Design end-to-end architectures and feedback loops - Translate business problems into Claude-based AI solutions |
| Topic 2: Evaluation, Testing & Optimization | 16% | - Define evaluation metrics and success criteria - Test accuracy, reliability, latency, and cost - Optimize performance, prompting, and model selection - Implement iterative improvement pipelines |
| Topic 3: Stakeholder Communication & Lifecycle Management | 14% | - Communicate architectural decisions and trade-offs - Manage stakeholder feedback and expectation alignment - Conduct structured discovery and requirement gathering - Document architectures and support full lifecycle phases |
| Topic 4: Claude Models, Prompting & Context Engineering | 13% | - Mitigate prompt injection, leaks, and jailbreak risks - Design system prompts, templates, and guardrails - Apply context engineering and context management techniques - Select appropriate Claude models based on trade-offs |
| Topic 5: Developer Productivity & Operational Enablement | 7% | - Support debugging, monitoring, and operational resolution - Configure Claude tools and environments for teams - Improve developer workflows with AI-assisted tooling |
| Topic 6: Governance, Safety & Risk Management | 14% | - Implement guardrails and safety controls - Manage data privacy and security compliance - Ensure regulatory compliance (GDPR, HIPAA, etc.) - Address ethical AI considerations and bias mitigation |
| Topic 7: 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 |
Anthropic Claude Certified Architect - Professional Sample Questions:
You are designing a feedback session for a deployment in flight.
Which structure best supports productive stakeholder feedback?
- A. Hold an open-ended meeting with no pre-distributed agenda or artifacts, and rely on participants' memory to carry decisions and follow-up owners forward.
- B. Distribute artifacts at the session start rather than in advance, so stakeholders review materials in real time without preparation before the discussion begins.
- C. End the session without recording decisions, follow-up items, action owners, or dates, relying on participant memory to carry the session's outcomes forward.
- D. Define a focused agenda, share the artifacts in advance, capture decisions and follow-ups in writing, and confirm action owners and dates.
Correct Answer: D 🗳️
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When communicating an architectural decision to a security and compliance reviewer, which content set is most aligned with that audience's primary concerns?
- A. Implementation timeline, component interfaces, and deployment sequence for the engineering team.
- B. Feature delivery schedule, roadmap dependencies, and scope boundaries for the product manager.
- C. Threat model, control mappings, residual-risk acceptance criteria, and audit traceability.
- D. Decision rationale, business outcomes, and high-level risk summary for executive review.
Correct Answer: C 🗳️
Explanation: Only visible for BootcampPDF members. You can sign-up / login (it's free).
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. Regression tests scored against a stable reference set of known-good behavior.
- B. Smoke tests that confirm high-level system availability after the change.
- C. Adversarial tests that probe for prompt-injection vulnerabilities.
- D. Integration tests that validate cross-component pipeline behavior.
Correct Answer: A 🗳️
Explanation: Only visible for BootcampPDF members. You can sign-up / login (it's free).
You are designing a content moderation classifier that processes high volumes of user-generated comments under a tight per-message latency budget using well-defined classification labels.
Which model selection best aligns with the workload?
- A. Sonnet, because larger general-purpose models are preferred even when workload latency requirements are strict.
- B. Haiku, because its latency and cost profile align with high-volume classification workloads that require limited reasoning depth.
- C. Sonnet with extended thinking enabled, because deeper reasoning should be applied to every moderation request to improve edge-case handling.
- D. Opus, because every moderation decision requires maximum reasoning depth regardless of classification complexity.
Correct Answer: B 🗳️
Explanation: Only visible for BootcampPDF members. You can sign-up / login (it's free).
An architect is reviewing a set of architecture documentation packages before handing off a Claude-based pipeline to an implementation team.
Which two characteristics indicate that a documentation package is sufficient to support implementation without ongoing architect involvement? (Select two.)
- A. The document specifies integration contracts, configuration schemas, and expected input/output shapes for each component.
- B. The document includes the architect's contact information for questions arising during implementation.
- C. The document includes a decision log that records the rationale for key architectural choices and the alternatives rejected.
- D. The document lists all Claude models that were evaluated but does not specify which was selected or why.
- E. The document provides a high-level narrative description of the business problem without component- level detail.
Correct Answer: A,C 🗳️
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