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Anthropic CCAR-P Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Developer Productivity & Operational Enablement | 7% | - Support debugging, monitoring, and operational resolution - Improve developer workflows with AI-assisted tooling - Configure Claude tools and environments for teams |
| Integration | 19% | - Design authentication, authorization, and observability - Integrate with data pipelines and RAG systems - Integrate Claude with enterprise systems, APIs, and tools - Implement Model Context Protocol (MCP) integrations |
| Evaluation, Testing & Optimization | 16% | - Implement iterative improvement pipelines - Define evaluation metrics and success criteria - Test accuracy, reliability, latency, and cost - Optimize performance, prompting, and model selection |
| Stakeholder Communication & Lifecycle Management | 14% | - Manage stakeholder feedback and expectation alignment - Document architectures and support full lifecycle phases - Communicate architectural decisions and trade-offs - Conduct structured discovery and requirement gathering |
| Governance, Safety & Risk Management | 14% | - Ensure regulatory compliance (GDPR, HIPAA, etc.) - Address ethical AI considerations and bias mitigation - Implement guardrails and safety controls - Manage data privacy and security compliance |
| Solution Design & Architecture | 17% | - Design end-to-end architectures and feedback loops - Select architectural patterns: workflow, agentic, augmented LLM - Translate business problems into Claude-based AI solutions - Align solutions to business value pillars - Design multi-agent systems and orchestration strategies |
| Claude Models, Prompting & Context Engineering | 13% | - Apply context engineering and context management techniques - Design system prompts, templates, and guardrails - Select appropriate Claude models based on trade-offs - Mitigate prompt injection, leaks, and jailbreak risks |
Anthropic Claude Certified Architect - Professional Sample Questions:
You are reviewing a peer's Claude Code permission rules for an enterprise rollout. The rules grant unrestricted Bash access to all projects across all developers.
Which response is most appropriate?
- A. Replace unrestricted Bash with narrowly scoped tool patterns that allow only the specific commands the workflows require, and add explicit deny rules for sensitive operations.
- B. Add unrestricted access to additional tool categories as well, so that Bash is not asymmetrically more permissive than other tools, expanding the attack surface further in the name of consistency.
- C. Approve the unrestricted Bash access as written on the grounds that narrowing the rules would add configuration complexity, accepting the full attack surface for all engineers across all projects.
- D. Disable all permission rules for the enterprise rollout so every command across every project runs without any tool-pattern scoping or explicit deny rules for sensitive operations.
Correct Answer: A 🗳️
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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 acceptance rate alone proves readiness for general production use.
- B. The unconsidered criteria represent a scope gap in the assistant's input space.
- C. The pilot duration was probably too short to demonstrate reliability across the full year.
- D. Acceptance does not establish whether recommendations remain correct after specialist review.
- E. The survey response rate may not be statistically representative of all specialists.
Correct Answer: B,D 🗳️
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A healthcare organization is evaluating two Claude-powered AI architectures for a clinical documentation assistant. Architecture X produces higher output quality scores but costs $0.18 per documentation session and averages 4.2 seconds per response. Architecture Y scores slightly lower on quality metrics but costs $0.09 per session and averages 2.1 seconds per response. The stated SLA requires responses under 3 seconds, and the annual volume is projected at 2 million documentation sessions.
Which evaluation approach correctly applies business value pillar analysis to this decision?
- A. Select Architecture X because the higher quality scores justify the cost premium, and any SLA gap can be addressed through infrastructure optimization after deployment.
- B. Eliminate Architecture X on SLA grounds, then evaluate Architecture Y against the efficiency and solution cost pillars by calculating annual cost difference and assessing whether the quality delta materially impacts clinical workflow productivity.
- C. Select Architecture Y based solely on the 50% cost reduction, since solution cost is the most important value pillar in healthcare budget-constrained environments.
- D. Recommend a hybrid approach using Architecture X for complex cases and Architecture Y for routine cases, without additional analysis, since this preserves quality where it matters most.
Correct Answer: B 🗳️
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The engineering lead at Trenova Systems, Inc. is evaluating two proposals for improving developer workflows using Claude-assisted tooling. Proposal A adds Claude Code to the IDE for inline code generation and review. Proposal B routes all code-generation requests through a shared Slack bot without IDE integration.
Which two observations most accurately evaluate these proposals against workflow-improvement objectives?
(Select two.)
- A. Both proposals are equivalent because the model capabilities are identical regardless of the integration point.
- B. Proposal B is superior because centralizing requests in Slack creates an auditable log of all code- generation activity.
- C. Proposal A reduces context switching by providing AI assistance at the point of development without requiring a separate tool.
- D. Proposal B improves workflow velocity because Slack notifications create an asynchronous review queue.
- E. Proposal B introduces workflow friction by requiring developers to leave the IDE, undermining the productivity objective.
Correct Answer: C,E 🗳️
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An engineering organization is adopting Claude Code across 200 developers. A team lead proposes that AI- generated pull requests bypass standard code review for changes under 50 lines because small changes are considered low risk and review capacity is constrained.
Which two Diligence-competency objections should you raise? (Select two.) Each correct answer presents part of the solution.
- A. The threshold should be increased to 200 lines to capture more changes.
- B. Removing review eliminates the verification mechanism required for AI-generated output across the workflow.
- C. AI-generated pull requests should be rejected by default across the organization.
- D. Line count is a poor proxy for the actual risk introduced by a code change.
- E. Code-review capacity should be expanded to handle every code change submitted across the team.
Correct Answer: B,D 🗳️
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