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CCAR-P Exam Questions & Answers

Claude Certified Architect - Professional  •  Anthropic

126 Questions Updated Oct 2026 99% Pass Rate
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Sample CCAR-P Questions

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Q1 MultipleChoice

A technical team is cataloguing risks specific to Claude's use in a document-grounded Q&A system.

Which two items represent failure modes intrinsic to LLM-based systems rather than generic software defects? (Select two.)

Correct Answer: C, E
Explanation:

Over-refusal and hallucination are characteristic model-behavior risks. An overly broad safety response can reject a legitimate request even when the surrounding application operates correctly. A plausible but unsupported answer is a groundedness failure arising from probabilistic generation and inadequate source adherence. These risks require model-specific evaluations, grounding instructions, citations, verification, and calibrated fallback behavior. Expired certificates, database timeouts, and load-balancer misconfiguration are conventional distributed-system failures that should be addressed through infrastructure monitoring, retries, health checks, and configuration management. Distinguishing these categories matters because ordinary software remediation will not resolve behavioral failures, while prompt changes will not repair infrastructure. Anthropic's hallucination guidance recommends auditable citations and supporting evidence for generated claims. Reducing hallucinations

Q2 MultipleChoice

You are defining escalation criteria for ambiguous cases in an automated workflow.

Which set of criteria best supports consistent escalation?

Correct Answer: D
Explanation:

Option D defines observable and repeatable escalation triggers. Confidence thresholds identify cases where the system lacks sufficient certainty. High-impact categories ensure that legally, financially, medically, or operationally consequential decisions receive human attention regardless of nominal confidence. Classifier-generated ambiguity flags add an independent control, while an explicit user request preserves the individual's ability to obtain review. These triggers should be documented, tested, logged, and mapped to reviewer authority and response-time objectives. Options A and C make escalation discretionary and inconsistent. Option B is purely reactive because the potentially harmful automated action has already occurred. A sound workflow escalates before consequential execution and records the reason, evidence, reviewer, decision, and outcome.

Study Guide references/topics: Human-in-the-loop governance; escalation thresholds; ambiguity detection; consequential decisions; review auditability.

Q3 MultipleChoice

You are listing characteristics of strong architectural-decision communication.

Which two characteristics belong on the list? (Select two.)

Each correct answer presents a complete solution.

Correct Answer: A, D
Explanation:

Strong decision communication must explain both how the decision was reached and how it will remain governed. Option D provides the reasoning structure: the alternatives considered and the criteria used to compare them. This allows reviewers to verify that capability, cost, latency, security, maintainability, integration complexity, and business outcomes were evaluated consistently rather than selectively.

Option A establishes lifecycle accountability. Architectural decisions depend on assumptions about requirements, models, data, regulations, usage volume, and operational constraints. Naming an owner and review cadence ensures the decision is reconsidered when those assumptions materially change.

Option B imposes a meeting mechanism rather than describing decision quality. Mandatory attendance by senior leaders may add delay without improving the clarity or correctness of the record. Option C removes important evidence and increases the chance that rejected approaches will be proposed again without addressing the original objections. Option E can improve consistency and discoverability, but visual standardization alone does not establish substantive architectural communication.

A strong decision record should therefore be evidence-based, audience-accessible, traceable to requirements, explicit about alternatives and consequences, assigned to an accountable owner, and governed by defined review triggers.

Study Guide references/topics: Architectural-decision communication; alternatives analysis; evaluation criteria; decision ownership; review cadence; changing assumptions; lifecycle governance.

Q4 MultipleChoice

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?

Correct Answer: C
Explanation:

Documentation remains grounded only when the generating agent can inspect the authoritative implementation. A purpose-built subagent should receive scoped filesystem and code-search capabilities, identify the relevant modules, interfaces, configuration files, tests, and call sites, and generate documentation from that evidence. This approach minimizes reliance on training-data recall, which cannot represent the repository's current private code or recent changes.

Subagents are useful because repository exploration occurs in their own context, allowing them to return focused findings or proposed edits without filling the main conversation with every file read. Their tool access should follow least privilege: read access to required paths, narrowly controlled write access, and explicit exclusions for secrets or unrelated repositories.

Generated documentation should enter the team's established change-control process as a patch, branch, or pull request. Normal review, automated checks, link validation, example execution, and human approval provide accountability and prevent unverified material from being published. Direct publication bypasses these safeguards, while disabling repository tools makes factual grounding impossible.

Study Guide references/topics: [Claude Code custom subagents](https://docs.anthropic.com/en/docs/claude-code/sub-agents); [codebase exploration workflows](https://docs.anthropic.com/en/docs/claude-code/common-workflows); source-grounded generation; least-privilege tools; human review and lifecycle controls.

Q5 MultipleChoice

You are preparing a HIPAA-eligible deployment for a healthcare customer.

Which configuration supports HIPAA compliance using Anthropic-offered tools?

Correct Answer: B
Explanation:

Option B is the only configuration establishing the contractual, data-handling, and audit foundations needed for a HIPAA-eligible deployment. Anthropic requires an eligible commercial organization to activate the HIPAA-ready configuration and accept a Business Associate Agreement. A standard Enterprise subscription is not automatically covered merely because it is an enterprise product. Anthropic BAA Guidance

Zero Data Retention may be required for particular covered services, including eligible Claude Code configurations, and is enabled per organization for qualified accounts. Audit logging supports access review, configuration monitoring, incident investigation, and compliance evidence. Anthropic provides audit logs for Enterprise organizations. Claude Code Legal and Compliance, Access Audit Logs

Options A and D use consumer or personal accounts without the required contractual framework. Option C incorrectly treats the elimination of audit evidence as a substitute for a BAA and compliant configuration.

The signed BAA remains the authoritative source for covered products and features. The customer must also configure access control, minimum-necessary data use, workforce policies, retention, integrations, incident response, and vendor-risk controls. The configuration supports compliance; it does not independently guarantee it.

Study Guide references/topics: HIPAA readiness; BAA; ZDR; PHI handling; audit logging; eligible services; shared compliance responsibility.

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Frequently Asked Questions

The CCAR-P certification typically requires candidates to have foundational knowledge of Claude AI, prompt engineering, and basic software architecture principles. Most candidates should have at least 6-12 months of hands-on experience working with Claude or similar large language models in professional settings.

The CCAR-P exam is usually a 2-3 hour comprehensive assessment covering Claude architecture, integration patterns, and best practices. Candidates typically need to score 70% or higher to achieve certification, though the exact passing threshold may vary by exam version.

The exam covers Claude's capabilities and limitations, system prompts and instruction tuning, API integration and deployment patterns, safety considerations and responsible AI practices, and real-world use case architecture. Candidates should also be familiar with prompt optimization techniques and handling edge cases in production environments.

Most certification programs allow candidates to retake the exam after a waiting period, typically 14-30 days between attempts. There may be a maximum number of attempts allowed within a certain timeframe, and retake fees may apply depending on Anthropic's specific policies.

The CCAR-P demonstrates professional expertise in Claude implementation and architecture, making it valuable for roles like AI architects, solutions engineers, and technical leads. Certification holders often gain competitive advantages in hiring processes and may qualify for higher compensation in AI-focused positions at organizations using Claude.
Exam Details
  • Exam CodeCCAR-P
  • VendorAnthropic
  • Total Questions126
  • LanguageEnglish
  • Last UpdatedOct 1, 2026
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