Highly similar to the real Claude Certified Architect - Professional exam
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Anthropic CCAR-P Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Evaluation, Testing & Optimization | 16% | - Production monitoring and optimization - A/B testing - System issue diagnosis - Evaluation metrics and datasets - Cost and performance optimization - Evaluation framework design |
| Governance, Safety & Risk Management | 14% | - Human-in-the-loop validation - Security and risk management - Regulatory and compliance requirements - AI safety and guardrails - Ethical AI considerations |
| Integration | 19% | - Enterprise system integration - Authentication and authorization analysis - Claude integration mechanisms
|
| Stakeholder Communication & Lifecycle Management | 14% | - Stakeholder management - Architecture documentation - Discovery and requirements gathering - Solution lifecycle management - Communicating architectural decisions - Service-level agreements |
| Solution Design & Architecture | 17% | - Translating business problems into Claude-based AI solutions - Alignment with business value, cost, performance, and SLAs - Decomposition techniques for complex problem solving - End-to-end architecture design - Multi-agent systems and orchestration - Architectural patterns
|
| Developer Productivity & Operational Enablement | 7% | - Claude tooling configuration for teams - AI-assisted developer workflows - Developer enablement - Debugging and operational issue resolution |
| Claude Models, Prompting & Context Engineering | 13% | - System prompts and prompt templates - Context window optimization - Prompt reuse and context engineering strategies - Guardrails - Claude model selection and trade-offs |
Anthropic Claude Certified Architect - Professional Sample Questions:
1. You are integrating AI-assisted tooling into the team's documentation workflow. The team wants generated documentation that stays grounded in the actual code.
Which integration approach best fits this requirement?
A) Have the subagents publish generated documentation directly to the public-facing site without passing through the team's normal review workflow or any human approval step.
B) Generate documentation from the model's training-data recall without reading any of the actual repository code, accepting that the output will not reflect the current implementation.
C) Disable all filesystem and code-search tools so the subagents cannot read any repository code, accepting that documentation generation will be entirely disconnected from the actual implementation.
D) Configure subagents that read the relevant code files via filesystem and code-search tools, generate the documentation, and emit changes through the team's normal review workflow.
2. You are running a controlled experiment to compare two prompts and must complete the design steps before executing the experiment.
Which two steps must be completed BEFORE running the experiment with random assignment? (Select two.) Each correct answer presents part of the solution.
A) Document the recommendation, the trade-offs accepted, and the alternatives considered.
B) Determine the minimum detectable effect size and the sample size needed for power.
C) Define the hypothesis and the primary success metric for the comparison.
D) Analyze the results against the predefined success metric and significance threshold.
E) Decide whether to promote, reject, or iterate the candidate based on the analysis.
3. 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) Increase the model sampling temperature so that intermittent issues surface more frequently for analysis.
B) Reproduce the issue with a minimal reproduction case that isolates one variable at a time.
C) Roll back to the previous Claude Code version immediately to confirm whether the issue is version specific.
D) File a support ticket with vendor support before any local reproduction or evidence collection.
E) List the configured Model Context Protocol (MCP) servers and inspect server status to identify connection failures.
4. You are diagnosing a Claude Code session whose subagent uses 50,000 tokens of context before the engineer types a single message.
Which root cause is most likely?
A) Many MCP servers are configured, each contributing tool definitions to the context budget; Tool Search is not enabled, so all definitions load upfront.
B) The model has internal personal preferences or default behaviors that silently consume large portions of context budget before any user message is processed, independent of tool configuration.
C) The font rendering or display-scaling settings of the IDE are converting visual output into additional context tokens, causing the high pre-session context consumption.
D) The developer's keyboard layout or input-method configuration is the cause of the elevated context consumption, introducing extra tokens before the engineer types any message.
5. You are defining an SLA for a Claude-based assistant.
Which SLA definition is most operationally meaningful?
A) A target that names the metric and threshold but omits the evaluation window and breach consequence, leaving compliance periods and remediation triggers undefined.
B) A measurable target with a defined metric, threshold, evaluation window, and consequence for breach- for example, "p95 per-request latency under 800 ms over a 28-day window."
C) A qualitative commitment such as "the system will be fast and reliable," which names no metric, threshold, or evaluation window.
D) A target tied to a stakeholder sentiment measure such as "the team feels satisfied," which cannot be measured objectively or used to trigger a documented breach response.
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: B,C | Question # 3 Answer: B,E | Question # 4 Answer: A | Question # 5 Answer: B |


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