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Anthropic CCAR-P Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| 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 |
| Integration | 19% | - Implement Model Context Protocol (MCP) integrations - Design authentication, authorization, and observability - Integrate with data pipelines and RAG systems - Integrate Claude with enterprise systems, APIs, and tools |
| Governance, Safety & Risk Management | 14% | - Ensure regulatory compliance (GDPR, HIPAA, etc.) - Address ethical AI considerations and bias mitigation - Manage data privacy and security compliance - Implement guardrails and safety controls |
| Solution Design & Architecture | 17% | - Translate business problems into Claude-based AI solutions - Design multi-agent systems and orchestration strategies - Select architectural patterns: workflow, agentic, augmented LLM - Align solutions to business value pillars - Design end-to-end architectures and feedback loops |
| 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 |
| Stakeholder Communication & Lifecycle Management | 14% | - Conduct structured discovery and requirement gathering - Document architectures and support full lifecycle phases - Communicate architectural decisions and trade-offs - Manage stakeholder feedback and expectation alignment |
| Evaluation, Testing & Optimization | 16% | - Test accuracy, reliability, latency, and cost - Implement iterative improvement pipelines - Define evaluation metrics and success criteria - Optimize performance, prompting, and model selection |
Anthropic Claude Certified Architect - Professional Sample Questions:
You are compiling a diagnostic toolkit for Claude Code operational issues.
Which two diagnostic actions belong in the toolkit? (Select two.)
Each correct answer presents a complete solution.
- A. File a support ticket with vendor support before any local reproduction or evidence collection.
- B. Reproduce the issue with a minimal reproduction case that isolates one variable at a time.
- C. Increase the model sampling temperature so that intermittent issues surface more frequently for analysis.
- D. Roll back to the previous Claude Code version immediately to confirm whether the issue is version specific.
- E. List the configured Model Context Protocol (MCP) servers and inspect server status to identify connection failures.
Correct Answer: B,E 🗳️
Explanation: Only visible for TestPassed members. You can sign-up / login (it's free).
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. Inverse sampling that reviews only high-confidence routine outputs and skips low-confidence and high- impact outputs.
- B. Universal review of every output regardless of confidence or throughput impact.
- 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.
Correct Answer: C 🗳️
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You are evaluating an evaluation set used to score a Claude-based hiring-support tool. The set is drawn from one geographic region and one tenure band.
Which response is most appropriate?
- A. Narrow the evaluation set to a single demographic subgroup to simplify score interpretation.
- B. Replace quantitative evaluation with qualitative impressions from a small pilot group.
- C. Expand the evaluation set to cover the geographic regions and tenure bands the tool will serve, and rescore the system on the expanded set before broader release.
- D. Continue using the narrow evaluation set drawn from one region and one tenure band because the existing benchmark scores are already high on that subset.
Correct Answer: C 🗳️
Explanation: Only visible for TestPassed members. You can sign-up / login (it's free).
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. Both proposals are equivalent because the model capabilities are identical regardless of the integration point.
- B. Proposal B improves workflow velocity because Slack notifications create an asynchronous review queue.
- C. Proposal B introduces workflow friction by requiring developers to leave the IDE, undermining the productivity objective.
- 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.
Correct Answer: C,D 🗳️
Explanation: Only visible for TestPassed members. You can sign-up / login (it's free).
You are selecting a protocol for a single low-latency stateless tool call from a Claude-based assistant to an internal pricing service that already exposes a stable HTTP API.
Which integration mechanism is the most appropriate?
- A. A direct API call to the existing endpoint with the appropriate scoped credentials.
- B. A long-lived stateful session protocol for a stateless single-call interaction.
- C. An agent-to-agent handoff that introduces another Claude-based agent in front of the pricing service.
- D. A bespoke streaming protocol layered over an unrelated asynchronous message bus.
Correct Answer: A 🗳️
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