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Anthropic CCAR-P Exam Syllabus Topics:

Anthropic Claude Certified Architect - Professional Sample Questions:

1. You are rolling out a standardized Claude Code configuration to an engineering team and must complete the planning steps before piloting the configuration.
Which two steps must be completed BEFORE piloting the configuration with a small group of engineers?
(Select two.)
Each correct answer presents part of the solution.

A) Iterate the configuration based on the pilot findings and stabilize the baseline before broader rollout.
B) Onboard every engineer in the organization to the new configuration through mandatory training sessions.
C) Roll out the stabilized configuration to additional teams with documentation and a defined support channel.
D) Identify the team workflows, security boundaries, and which decisions belong to managed configuration versus project scope.
E) Define the project-scope baseline covering Model Context Protocol (MCP) servers, permission rules, and subagents.

2. You are reviewing a customer-support agent's configuration. Each candidate tool falls into one of four categories: (1) required to complete defined tasks, (2) frequently used and reduces hand-offs, (3) occasionally useful for unrelated work, (4) speculative future utility.
Which categories should typically remain in the agent configuration?

A) Only category 3, because occasionally useful tools for unrelated work provide broader coverage and should take priority over tools required for the agent's defined tasks.
B) Categories 1 and 2 only, because they map to defined tasks and the agent's regular hand-offs.
C) Only category 4, because speculative future-utility tools provide the most flexibility and should be configured even when no defined task currently requires them.
D) All four categories, because broader tool access is categorically better for agent performance regardless of whether the tools map to defined tasks or regular hand-offs.

3. 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) 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.
B) 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.
C) Reduce the evaluation set further to a single demographic subgroup to simplify score interpretation, narrowing coverage rather than expanding it to match the intended user population.
D) Discard all quantitative evaluation and replace it with qualitative impressions collected from a small, convenience-selected group that may not represent the tool's full user population.

4. A senior architect is managing stakeholder expectations for a Claude-based reporting assistant midway through development. Stakeholders have escalating concerns about response latency.
Which two actions most directly address stakeholder expectation alignment in this situation? (Select two.)

A) Replace the current Claude model with a third-party model that may offer lower latency without evaluation.
B) Revise the SLA definition collaboratively with stakeholders if current targets are not achievable given production constraints.
C) Pause all development and reallocate engineering resources entirely to latency optimization.
D) Present measured p50 and p95 latency baselines against the agreed SLA thresholds so stakeholders have accurate data.
E) Communicate that latency concerns are a known LLM limitation and outside the architecture team's control.

5. You are a solution architect designing a Claude-based assistant with access to 60 internal tools across multiple business domains. Loading every tool definition on every request increases token usage and time to first response.
Which design pattern best addresses this issue without sacrificing capability breadth?

A) Increase the maximum context length and load all 60 tool definitions on every request, accepting the higher token cost and latency as necessary for full capability.
B) Hard-code a fixed set of five tools per request to reduce token usage, regardless of whether those tools are relevant to the current task.
C) Apply progressive tool discovery so a curated initial subset is exposed and additional tools are loaded on demand based on the task.
D) Use a separate model call to summarize all 60 tool definitions before each user turn.

Solutions: