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Anthropic CCAR-P Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| 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 |
| 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 |
| Stakeholder Communication & Lifecycle Management | 14% | - Conduct structured discovery and requirement gathering - Document architectures and support full lifecycle phases - Manage stakeholder feedback and expectation alignment - Communicate architectural decisions and trade-offs |
| Integration | 19% | - Integrate with data pipelines and RAG systems - Implement Model Context Protocol (MCP) integrations - Design authentication, authorization, and observability - Integrate Claude with enterprise systems, APIs, and tools |
| Evaluation, Testing & Optimization | 16% | - Implement iterative improvement pipelines - Test accuracy, reliability, latency, and cost - Optimize performance, prompting, and model selection - Define evaluation metrics and success criteria |
| 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 - Translate business problems into Claude-based AI solutions - Align solutions to business value pillars |
| Claude Models, Prompting & Context Engineering | 13% | - Select appropriate Claude models based on trade-offs - Mitigate prompt injection, leaks, and jailbreak risks - Apply context engineering and context management techniques - Design system prompts, templates, and guardrails |
Anthropic Claude Certified Architect - Professional Sample Questions:
Question 1
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 underlying transport supports encryption in transit between the integrated services.
B. Whether the interaction is stateless and latency-sensitive or stateful and longer-running.
C. Whether the team has prior implementation experience with any of the candidate protocols.
D. Whether the integration must be portable across multiple AI clients in the ecosystem.
E. Whether the vendor publishes detailed reference documentation for each candidate protocol.
Question 2
You are sequencing decomposed components in an invoice-processing pipeline.
For each of the decomposed components, select the execution layer it belongs to: "Pre-Processing," "Model Stage," or "Post-Processing."
Question 3
You are integrating Claude Code into a workflow that runs against a production database.
Which guardrail design most directly preserves safety on data-modifying operations?
A. Allow Claude Code to write directly to the production database without subagent scoping, read-only credential defaults, or human confirmation gates on data-modifying operations.
B. Disable all logging and auditing on database operations through the MCP server to reduce alert noise, removing the observability needed to detect unintended data modifications.
C. Configure the database MCP server with a fully privileged credential that can perform any read or write operation, and allow all operations to proceed without explicit human confirmation.
D. Configure the database MCP server with a read-only credential by default, restrict the subagent's tool list to read-only operations, and require explicit human confirmation on any operation that would modify data.
Question 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. Selecting the Claude model tier based on the architect's prior project experience before stakeholder input is collected.
B. Facilitating stakeholder workshops to surface latency, accuracy, and compliance constraints before scoping begins.
C. Generating an initial prototype and iterating based on user reaction rather than written requirements.
D. Deferring constraint documentation until the integration design phase to avoid scope creep.
E. Documenting explicit success criteria and failure thresholds that will gate production deployment.
Question 5
You are selecting a pattern for a compliance Q & A assistant that must answer policy questions with citations to the authoritative internal source set. Latency, cost, and audit predictability are prioritized.
Which pattern is the best fit?
A. Augmented LLM with retrieval-augmented generation over the indexed authoritative corpus and citation rendering on each answer.
B. A static prompt with the entire policy corpus concatenated into every request.
C. A pure agent loop with open web-browsing tools to surface the most current policy information, without constraining retrieval to the authoritative internal corpus.
D. Multi-agent orchestration with a planner, researcher, and writer agent for every query.
Solutions:
| Question 1 Answer: B,D | Question 2 Answer: Only visible for members | Question 3 Answer: D | Question 4 Answer: B,E | Question 5 Answer: A |

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