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Anthropic CCAR-P Exam Syllabus Topics:

Anthropic Claude Certified Architect - Professional Sample Questions:

Question 1

A pilot AI assistant for procurement specialists shows 89 percent first-response acceptance, but follow-up surveys reveal that specialists frequently override the assistant's vendor recommendations after considering criteria the assistant did not evaluate. The pilot owner wants to ship the assistant unchanged because of the strong acceptance rate.
Which two Discernment-competency observations should you raise BEFORE approving the launch? (Select two.)

A. The unconsidered criteria represent a scope gap in the assistant's input space.
B. Acceptance does not establish whether recommendations remain correct after specialist review.
C. The survey response rate may not be statistically representative of all specialists.
D. The acceptance rate alone proves readiness for general production use.
E. The pilot duration was probably too short to demonstrate reliability across the full year.

Question 2

You are designing a human-in-the-loop validation workflow for a new Claude-based deployment and must complete the design steps before piloting the workflow.
Which two steps must be completed BEFORE piloting the workflow with a representative subset of traffic?
(Select two.)
Each correct answer presents part of the solution.

A. Onboard the reviewer pool with role-specific training on the check criteria and escalation procedures.
B. Iterate the workflow design based on observed pilot findings before broader rollout to production.
C. Document the workflow with check criteria, escalation paths, and service-level agreements (SLAs) for each step.
D. Define the sampling strategy and the escalation criteria at each oversight point in the pipeline.
E. Identify the decision points in the pipeline that require human oversight by impact and reversibility.

Question 3

You are selecting a pattern for a compliance Q & A assistant that must answer policy questions with citations to the authoritative internal source set. Latency, cost, and audit predictability are prioritized.
Which pattern is the best fit?

A. Augmented LLM with retrieval-augmented generation over the indexed authoritative corpus and citation rendering on each answer.
B. A pure agent loop with open web-browsing tools to surface the most current policy information, without constraining retrieval to the authoritative internal corpus.
C. Multi-agent orchestration with a planner, researcher, and writer agent for every query.
D. A static prompt with the entire policy corpus concatenated into every request.

Question 4

The platform team at Trenova Systems, Inc. needs to reduce per-query cost and p95 latency for a high-volume Claude pipeline without degrading output quality on the core use case.
Which two optimizations directly target both cost and latency simultaneously? (Select two.)

A. Expand the system prompt to include additional few-shot examples on every request.
B. Route straightforward query types to a smaller, faster Claude model and reserve the full model for complex cases.
C. Add a retrieval step that fetches the full source corpus into the context window before generation.
D. Enable prompt caching on the static system-prompt prefix to reduce billable input tokens on repeated calls.
E. Increase max_tokens to reduce the frequency of truncated responses requiring follow-up calls.

Question 5

You are supporting an EU-based deployment with GDPR obligations.
Which combination of measures best supports the deployment's GDPR posture?

A. pasting full EU personal data into every prompt to "give Claude complete context" without considering purpose limitation, data minimization, or the organization's Data Processing Addendum obligations
B. disabling all data-retention configuration, redaction controls, and data-subject-rights handling to simplify day-to-day operations, accepting the resulting GDPR compliance exposure
C. enterprise-tier deployment with a signed Data Processing Addendum, defined data-retention configuration, redaction of personal data not needed for the task, and documented data-subject-rights handling
D. using a personal Claude account tier for processing EU personal data at scale, with no signed Data Processing Addendum and no documented data-subject-rights handling procedure

Solutions: