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Anthropic CCAR-P Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Stakeholder Communication & Lifecycle Management | 14% | - Communicate architectural decisions and trade-offs - Manage stakeholder feedback and expectation alignment - Document architectures and support full lifecycle phases - Conduct structured discovery and requirement gathering |
| Topic 2: 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 |
| Topic 3: Claude Models, Prompting & Context Engineering | 13% | - Apply context engineering and context management techniques - Select appropriate Claude models based on trade-offs - Mitigate prompt injection, leaks, and jailbreak risks - Design system prompts, templates, and guardrails |
| Topic 4: Evaluation, Testing & Optimization | 16% | - Test accuracy, reliability, latency, and cost - Define evaluation metrics and success criteria - Optimize performance, prompting, and model selection - Implement iterative improvement pipelines |
| Topic 5: Integration | 19% | - Design authentication, authorization, and observability - Implement Model Context Protocol (MCP) integrations - Integrate Claude with enterprise systems, APIs, and tools - Integrate with data pipelines and RAG systems |
| Topic 6: Governance, Safety & Risk Management | 14% | - Address ethical AI considerations and bias mitigation - Implement guardrails and safety controls - Ensure regulatory compliance (GDPR, HIPAA, etc.) - Manage data privacy and security compliance |
| Topic 7: Solution Design & Architecture | 17% | - Design multi-agent systems and orchestration strategies - Translate business problems into Claude-based AI solutions - Select architectural patterns: workflow, agentic, augmented LLM - Align solutions to business value pillars - Design end-to-end architectures and feedback loops |
Anthropic Claude Certified Architect - Professional Sample Questions:
1. You are integrating human review into a high-volume classification pipeline where reviewing every output is infeasible.
Which sampling strategy best balances throughput with quality oversight?
A) Universal review of every output regardless of confidence or throughput impact.
B) Inverse sampling that reviews only high-confidence routine outputs and skips low-confidence and high- impact outputs.
C) Risk-stratified sampling that reviews all low-confidence and high-impact outputs and a smaller random sample of high-confidence routine outputs.
D) No sampling, relying entirely on user complaints to reveal quality and safety problems after they affect users.
2. You are integrating Claude Code into the team's pull-request workflow. The team wants AI-assisted review without removing human approval.
Which integration design best fits this requirement?
A) Claude Code disables all existing branch-protection rules to streamline the merge process, removing human approval as a required gate.
B) Claude Code silently deletes pull requests it assesses as low quality without posting a comment or notifying the author.
C) Claude Code reviews the pull request and posts a structured analysis as a comment, while a human reviewer retains the approval decision under the existing branch-protection rules.
D) Claude Code merges every pull request automatically after completing its analysis, bypassing human approval and the existing branch-protection rules.
3. You are reviewing an integration specification for security gaps.
Which two findings constitute valid security gaps in the specification? (Select two.) Each correct answer presents a complete solution.
A) Per-user OAuth tokens are exchanged with scope-restricted permissions and refreshed within the active session.
B) Service credentials are placed in the prompt context, where they can leak into logs and traces.
C) Tool inputs and outputs are encrypted in transit using transport-layer security between services.
D) Tool calls execute server-side under a least-privilege service principal scoped to the requested action.
E) Role-based access control is enforced only at the response-rendering layer after the model accesses restricted data.
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) Enable Tool Search so tool definitions are deferred and discovered on demand rather than loaded into context upfront.
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) 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.
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. A Claude architect needs to ensure that a security-hardening flag cannot be disabled by any individual engineer after it is set.
Which configuration scope correctly enforces this requirement?
A) Managed configuration applied centrally and marked as non-overridable
B) Environment variable defined in the CI/CD pipeline only
C) User scope (~/.claude/settings.json) on each engineer's machine
D) Project scope (.claude/settings.json) committed to the repository
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: C | Question # 3 Answer: B,E | Question # 4 Answer: A | Question # 5 Answer: A |
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