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Anthropic CCAR-P Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: 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 |
| Topic 2: Solution Design & Architecture | 17% | - Select architectural patterns: workflow, agentic, augmented LLM - Align solutions to business value pillars - Design multi-agent systems and orchestration strategies - Design end-to-end architectures and feedback loops - Translate business problems into Claude-based AI solutions |
| Topic 3: Governance, Safety & Risk Management | 14% | - Manage data privacy and security compliance - Ensure regulatory compliance (GDPR, HIPAA, etc.) - Address ethical AI considerations and bias mitigation - Implement guardrails and safety controls |
| Topic 4: Claude Models, Prompting & Context Engineering | 13% | - Design system prompts, templates, and guardrails - Apply context engineering and context management techniques - Mitigate prompt injection, leaks, and jailbreak risks - Select appropriate Claude models based on trade-offs |
| Topic 5: Integration | 19% | - Implement Model Context Protocol (MCP) integrations - Integrate Claude with enterprise systems, APIs, and tools - Integrate with data pipelines and RAG systems - Design authentication, authorization, and observability |
| Topic 6: 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 |
| Topic 7: Evaluation, Testing & Optimization | 16% | - Optimize performance, prompting, and model selection - Test accuracy, reliability, latency, and cost - Implement iterative improvement pipelines - Define evaluation metrics and success criteria |
Anthropic Claude Certified Architect - Professional Sample Questions:
1. A Claude Architect is reviewing a post-deployment performance report for an AI-assisted legal-document summarization system. The report includes these observations:
* Average summarization time decreased from 47 minutes to 6 minutes per document.
* Associates spend less time on summaries, but overall billable output has not measurably changed.
* Infrastructure costs increased by 22% because redundant retry logic generated additional API calls.
* Some summaries require attorney correction, adding an average of 8 minutes of review per document.
Which analysis correctly attributes each observation to the appropriate business-value pillar?
A) Observations 1 and 4 together indicate a net performance-SLA improvement; Observation 2 is a transformation gap; Observation 3 is a productivity drain from over-engineering.
B) Observations 1 and 2 both indicate efficiency gains; Observation 3 is a solution-cost issue; Observation
4 is a performance-SLA issue.
C) Observation 1 is a transformation outcome; Observation 2 is an efficiency gain; Observation 3 is a performance-SLA degradation; Observation 4 is a solution-cost issue.
D) Observation 1 indicates an efficiency gain; Observation 2 shows that productivity has not yet been realized; Observation 3 is a solution-cost issue; Observation 4 is an efficiency loss that partially offsets Observation 1.
2. You are identifying signals that a deployment should re-enter design rather than continue iterating in place.
Which signal most directly indicates the need for a new design cycle?
A) A minor copy edit is requested in a customer-facing string within the existing UI, which can be handled as a localized content change without altering component responsibilities or contracts.
B) A dashboard alert threshold needs a small numerical adjustment to reduce false-positive noise, which can be handled as an operational configuration change without a new design cycle.
C) A runbook step requires a clarification edit to improve on-call guidance accuracy, which can be handled as a documentation update without changes to component responsibilities or core contracts.
D) The system's current architecture cannot meet the new requirements without changes to component responsibilities or core contracts.
3. A platform team operates a self-hosted multi-agent system on Kubernetes that orchestrates seven specialized agents for invoice processing. The team spends approximately 40 percent of engineering capacity on infrastructure maintenance, message bus reliability, and agent state recovery. The CFO has asked you to evaluate moving to managed agent infrastructure to reclaim engineering capacity. The security officer requires that all customer financial data remain within an approved network boundary.
Which factor should most heavily influence your recommendation?
A) Whether the current seven agents map cleanly to the patterns supported by managed agents.
B) Whether managed agents support the current bus topology used by the platform team.
C) Whether managed agent data handling satisfies the network boundary required by security.
D) Whether managed agents reduce per-invoice token costs across the existing processing volume.
4. You are choosing the level of detail for an implementation guide. The audience is a delivery team that will build the deployment.
Which guidance composition best serves them?
A) An architecture overview and a list of known limitations, without component-level diagrams, interface contracts, configuration parameters, or operational runbooks to support implementation.
B) An architecture overview and sequence diagrams for the dominant flows, without interface contracts, configuration-parameter tables, or operational runbooks for the delivery team to follow.
C) Component responsibilities, contracts between components, sequence diagrams of the dominant flows, configuration parameters with defaults, and operational runbooks.
D) Component responsibilities and interface contracts only, without sequence diagrams of the dominant flows, configuration parameters with defaults, or runbooks to guide operational tasks.
5. You are configuring tool permissions for a Claude-based assistant. The assistant's defined responsibilities require read access to a knowledge base and write access to a draft queue, and nothing else.
Which scoping design best applies least privilege?
A) Per-role allow-list of exactly the read-knowledge-base and write-draft-queue tools, enforced at the orchestration layer.
B) Allow access to every tool in the catalog and rely on the model to decline tools it should not use.
C) Allow access to all tools with read permissions globally and restrict write permissions to the draft- queue tool, without scoping to only the specific tools required for defined tasks.
D) Disable all tools entirely to achieve a minimal permission surface, accepting that the assistant can no longer perform the read-knowledge-base or write-draft-queue tasks it was designed for.
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: D | Question # 3 Answer: C | Question # 4 Answer: C | Question # 5 Answer: A |


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