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Anthropic CCAR-P Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Developer Productivity & Operational Enablement | 7% | - Claude tooling configuration for teams - Debugging and operational issue resolution - AI-assisted developer workflows - Developer enablement |
| Topic 2: Solution Design & Architecture | 17% | - Translating business problems into Claude-based AI solutions - Multi-agent systems and orchestration - Alignment with business value, cost, performance, and SLAs - Architectural patterns
- End-to-end architecture design |
| Topic 3: Evaluation, Testing & Optimization | 16% | - Production monitoring and optimization - Evaluation framework design - System issue diagnosis - Evaluation metrics and datasets - A/B testing - Cost and performance optimization |
| Topic 4: Stakeholder Communication & Lifecycle Management | 14% | - Solution lifecycle management - Communicating architectural decisions - Discovery and requirements gathering - Service-level agreements - Architecture documentation - Stakeholder management |
| Topic 5: Governance, Safety & Risk Management | 14% | - Security and risk management - AI safety and guardrails - Regulatory and compliance requirements - Human-in-the-loop validation - Ethical AI considerations |
| Topic 6: Claude Models, Prompting & Context Engineering | 13% | - Context window optimization - Prompt reuse and context engineering strategies - System prompts and prompt templates - Guardrails - Claude model selection and trade-offs |
| Topic 7: Integration | 19% | - Enterprise system integration - Claude integration mechanisms
- RAG pipeline design
|
Anthropic Claude Certified Architect - Professional Sample Questions:
1. 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) Opus, because every moderation decision requires maximum reasoning depth regardless of classification complexity.
B) Sonnet, because larger general-purpose models are preferred even when workload latency requirements are strict.
C) Sonnet with extended thinking enabled, because deeper reasoning should be applied to every moderation request to improve edge-case handling.
D) Haiku, because its latency and cost profile align with high-volume classification workloads that require limited reasoning depth.
2. You are classifying token-management tactics by where each tactic applies in the request lifecycle: "Input Preparation," "Prompt Construction," or "Output Handling."
3. You are assessing data-exfiltration risk in a Claude-based assistant that has tools for both internal-document retrieval and outbound HTTP calls.
Which scenario most directly indicates a data-exfiltration risk?
A) The outbound HTTP tool returns a 200 response when the assistant calls an allow-listed domain to fulfil a user-initiated data-lookup request.
B) Adversarial content in a retrieved document instructs the model to call the outbound HTTP tool and send sensitive content to an attacker-controlled URL.
C) The internal-document retrieval tool returns a document that the user is authorized to view.
D) The user submits a routine question and receives a routine answer.
4. You are supporting a team whose Claude Code sessions consistently load 60 or more MCP tools from many servers, exhausting context budget before the session begins.
Which adjustment most directly addresses this issue without removing capability?
A) Disable every MCP server in the configuration to free up context budget, accepting that the team loses all tool access and cannot perform any MCP-dependent task in the session.
B) Add additional MCP servers to give the team more capability, which increases rather than reduces the number of tool definitions loaded into the session's context budget.
C) Enable Tool Search so tool definitions are deferred and discovered on demand rather than loaded into context upfront.
D) Increase the prompt's verbosity with additional instructions and context, which consumes more of the context budget rather than reducing the tool-definition overhead causing the issue.
5. You are listing characteristics of strong architectural-decision communication.
Which two characteristics belong on the list? (Select two.)
Each correct answer presents a complete solution.
A) Distribution to a standing review forum with mandatory attendance from senior engineering leaders.
B) Omission of rejected alternatives to keep the decision document focused and concise for readers.
C) Ownership and review cadence for revisiting the decision when conditions or assumptions change.
D) Alternatives considered along with the criteria that were used to evaluate each alternative.
E) Use of a consistent template across the team to standardize the visual presentation of decisions.
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: Only visible for members | Question # 3 Answer: B | Question # 4 Answer: C | Question # 5 Answer: C,D |

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