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Anthropic CCAR-P Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Stakeholder Communication & Lifecycle Management | 14% | - Manage stakeholder feedback and expectation alignment - Communicate architectural decisions and trade-offs - Conduct structured discovery and requirement gathering - Document architectures and support full lifecycle phases |
| Topic 2: Solution Design & Architecture | 17% | - Design multi-agent systems and orchestration strategies - Select architectural patterns: workflow, agentic, augmented LLM - Translate business problems into Claude-based AI solutions - Design end-to-end architectures and feedback loops - Align solutions to business value pillars |
| Topic 3: Governance, Safety & Risk Management | 14% | - Implement guardrails and safety controls - Ensure regulatory compliance (GDPR, HIPAA, etc.) - Manage data privacy and security compliance - Address ethical AI considerations and bias mitigation |
| Topic 4: Integration | 19% | - Integrate Claude with enterprise systems, APIs, and tools - Design authentication, authorization, and observability - Integrate with data pipelines and RAG systems - Implement Model Context Protocol (MCP) integrations |
| Topic 5: 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 |
| Topic 6: Claude Models, Prompting & Context Engineering | 13% | - Select appropriate Claude models based on trade-offs - Design system prompts, templates, and guardrails - Mitigate prompt injection, leaks, and jailbreak risks - Apply context engineering and context management techniques |
| Topic 7: Developer Productivity & Operational Enablement | 7% | - Improve developer workflows with AI-assisted tooling - Configure Claude tools and environments for teams - Support debugging, monitoring, and operational resolution |
Anthropic Claude Certified Architect - Professional Sample Questions:
Question 1
You are assessing a Claude-based system whose dominant risk is silent quality drift on safety-relevant outputs after a model-version upgrade.
Which assessment activity most directly addresses this risk?
A. Rotate adversarial inputs randomly so no two upgrades are scored on the same set.
B. Disable adversarial evaluation entirely during model-version upgrade cycles to reduce evaluation cost, accepting that safety drift will go undetected until it appears in production.
C. Maintain an adversarial evaluation set with version-attributed scoring so each upgrade is measured against the same set before promotion.
D. Skip evaluation on each model-version upgrade and rely on user-submitted complaints to surface safety drift after the upgraded model has already served production traffic.
Question 2
You are evaluating prompting claims in a peer's design document.
For each claim, select yes if the claim reflects sound practice. Otherwise, select no.
Question 3
You are defining transparency practices for a customer-facing assistant whose responses are materially shaped by AI.
Which transparency practice most directly supports responsible deployment?
A. Disclose AI involvement only to internal staff and operators while withholding that information from the end users whose interactions are materially shaped by the AI system.
B. Misrepresent the AI's role in producing responses in order to make the assistant feel more trustworthy or more human, undermining informed user consent and organizational transparency.
C. Disclose AI involvement to end users in line with the organization's transparency policy and provide a documented path to reach a human when needed.
D. Refuse to answer any user question about how the responses were produced or whether AI was involved, treating the AI's role as confidential operational information.
Question 4
You are supporting an engineer whose Claude Code session reports a permission denial when the engineer expected the action to be allowed.
Which resolution step is most appropriate?
A. Grant the engineer unrestricted Bash access to bypass the specific rule causing the denial, removing all tool-pattern constraints rather than amending only the rule in question.
B. Inspect the active permission rules across all scopes-managed, command-line, local, project, and user-to identify which rule is denying the action and confirm whether it should be amended or remain denied.
C. Tell the engineer to retry the denied action verbatim repeatedly until the denial stops appearing, without inspecting the active permission rules to determine whether the denial is intentional.
D. Disable the permission system entirely across all scopes to remove the denial, eliminating all tool- pattern and deny-rule controls rather than identifying and amending the specific rule.
Question 5
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. Proposal B introduces workflow friction by requiring developers to leave the IDE, undermining the productivity objective.
B. Both proposals are equivalent because the model capabilities are identical regardless of the integration point.
C. Proposal B improves workflow velocity because Slack notifications create an asynchronous review queue.
D. Proposal A reduces context switching by providing AI assistance at the point of development without requiring a separate tool.
E. Proposal B is superior because centralizing requests in Slack creates an auditable log of all code- generation activity.
Solutions:
| Question 1 Answer: C | Question 2 Answer: Only visible for members | Question 3 Answer: C | Question 4 Answer: B | Question 5 Answer: A,D |



