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Anthropic CCAR-P Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Governance, Safety & Risk Management | 14% | - Ensure regulatory compliance (GDPR, HIPAA, etc.) - Address ethical AI considerations and bias mitigation - Manage data privacy and security compliance - Implement guardrails and safety controls |
| Topic 2: Claude Models, Prompting & Context Engineering | 13% | - Mitigate prompt injection, leaks, and jailbreak risks - Select appropriate Claude models based on trade-offs - Design system prompts, templates, and guardrails - Apply context engineering and context management techniques |
| Topic 3: Developer Productivity & Operational Enablement | 7% | - Configure Claude tools and environments for teams - Improve developer workflows with AI-assisted tooling - Support debugging, monitoring, and operational resolution |
| 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: Solution Design & Architecture | 17% | - Select architectural patterns: workflow, agentic, augmented LLM - Design multi-agent systems and orchestration strategies - Translate business problems into Claude-based AI solutions - Design end-to-end architectures and feedback loops - Align solutions to business value pillars |
| Topic 6: Stakeholder Communication & Lifecycle Management | 14% | - Document architectures and support full lifecycle phases - Manage stakeholder feedback and expectation alignment - Conduct structured discovery and requirement gathering - Communicate architectural decisions and trade-offs |
| Topic 7: Integration | 19% | - Integrate Claude with enterprise systems, APIs, and tools - Design authentication, authorization, and observability - Implement Model Context Protocol (MCP) integrations - Integrate with data pipelines and RAG systems |
Anthropic Claude Certified Architect - Professional Sample Questions:
1. You must present an architectural recommendation to deploy a Claude-based contract review assistant to a steering committee that includes the CFO, the general counsel, and the CIO. Each stakeholder cares about different aspects of the decision.
How should you structure the recommendation document?
A) Lead with the technical architecture diagram and the full component list before any other section.
B) Lead with the architectural decision, then address each stakeholder's primary concerns directly.
C) Present the same dense narrative throughout with no stakeholder differentiation in any section.
D) Lead with detailed cost projections across the full multi-year horizon before the rationale section.
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) 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.
C) Many MCP servers are configured, each contributing tool definitions to the context budget; Tool Search is not enabled, so all definitions load upfront.
D) 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.
3. You are distinguishing functional from non-functional requirements during discovery.
Which item is a non-functional requirement?
A) The system must extract a defined set of specific fields from invoice attachments and populate a downstream data record.
B) The system must respond at p95 latency under 800 milliseconds at the expected request volume.
C) The system must classify inbound tickets into a defined set of categories.
D) The system must produce a draft response that a human reviewer can edit before sending.
4. 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) Deferring constraint documentation until the integration design phase to avoid scope creep.
C) Selecting the Claude model tier based on the architect's prior project experience before stakeholder input is collected.
D) Documenting explicit success criteria and failure thresholds that will gate production deployment.
E) Facilitating stakeholder workshops to surface latency, accuracy, and compliance constraints before scoping begins.
5. You are a solution architect designing a Claude-based assistant with access to 60 internal tools across multiple business domains. Loading every tool definition on every request increases token usage and time to first response.
Which design pattern best addresses this issue without sacrificing capability breadth?
A) Apply progressive tool discovery so a curated initial subset is exposed and additional tools are loaded on demand based on the task.
B) Hard-code a fixed set of five tools per request to reduce token usage, regardless of whether those tools are relevant to the current task.
C) Increase the maximum context length and load all 60 tool definitions on every request, accepting the higher token cost and latency as necessary for full capability.
D) Use a separate model call to summarize all 60 tool definitions before each user turn.
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: C | Question # 3 Answer: B | Question # 4 Answer: D,E | Question # 5 Answer: A |


