Updated: Aug 23, 2026
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| Certification Vendor: | Anthropic |
| Exam Name: | Claude Certified Architect – Professional (CCAR-P) Exam |
| Exam Number: | CCAR-P |
| Exam Duration: | 120 minutes |
| Exam Format: | Multiple Choice, Multiple Response, Scenario-based |
| Exam Price: | USD $175 |
| Certificate Validity Period: | 12 months from award date |
| Related Certifications: | Claude Certified Architect – Foundations (CCAR-F) Claude Certified Developer – Foundations (CCDV-F) Claude Certified Associate – Foundations (CCAO-F) |
| Real Exam Qty: | 63 |
| Passing Score: | 720 (on a scale of 100–1000) |
| Available Languages: | English |
| Recommended Training: | Anthropic Partner Academy Free Training |
| Exam Registration: | Anthropic Partner Academy Registration Pearson VUE Exam Scheduling |
| Sample Questions: | Anthropic CCAR-P Sample Questions |
| Exam Way: | Online proctored (Pearson VUE OnVUE) or in-person at Pearson VUE test center |
| Pre Condition: | No mandatory prerequisites; Claude Certified Architect – Foundations (CCAR-F) or equivalent experience strongly recommended. Recommended: 3+ years in systems architecture / platform engineering plus 6+ months hands-on Claude/LLM production experience. |
| Official Syllabus URL: | https://partners.anthropic.com/certifications |
| Section | Weight | Objectives |
|---|---|---|
| Solution Design & Architecture | 17% | - Design multi-agent systems and orchestration strategies - Translate business problems into Claude-based AI solutions - Align solutions to business value pillars - Select architectural patterns: workflow, agentic, augmented LLM - Design end-to-end architectures and feedback loops |
| Stakeholder Communication & Lifecycle Management | 14% | - Communicate architectural decisions and trade-offs - Manage stakeholder feedback and expectation alignment - Conduct structured discovery and requirement gathering - Document architectures and support full lifecycle phases |
| Integration | 19% | - Implement Model Context Protocol (MCP) integrations - Integrate Claude with enterprise systems, APIs, and tools - Design authentication, authorization, and observability - Integrate with data pipelines and RAG systems |
| Claude Models, Prompting & Context Engineering | 13% | - Design system prompts, templates, and guardrails - Select appropriate Claude models based on trade-offs - Mitigate prompt injection, leaks, and jailbreak risks - Apply context engineering and context management techniques |
| 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 |
| Developer Productivity & Operational Enablement | 7% | - Support debugging, monitoring, and operational resolution - Improve developer workflows with AI-assisted tooling - Configure Claude tools and environments for teams |
| Governance, Safety & Risk Management | 14% | - Ensure regulatory compliance (GDPR, HIPAA, etc.) - Implement guardrails and safety controls - Address ethical AI considerations and bias mitigation - Manage data privacy and security compliance |
1. A revenue projection assistant has missed its monthly cost target by 38 percent. Profiling shows three contributors: a 6,000-token policy preamble repeated on every call (45 percent of cost), retrieval of historical sales chunks averaging 3,000 tokens per call (30 percent), and inference on a flagship-tier model (25 percent).
Stakeholders require that projection accuracy remain unchanged.
Which two optimizations should you sequence first to reduce cost without affecting accuracy? (Select two.) Each correct answer presents part of the solution.
A) Reduce the number of historical sales chunks retrieved across each query run.
B) Cache common retrieved sales chunks accessed across many of the daily queries.
C) Switch the workload to a smaller, faster Claude model tier across all queries.
D) Enable prompt caching on the static policy preamble across the recurring calls.
E) Truncate the policy preamble to remove non-essential clauses from the prompt.
2. You are designing a test strategy for a Claude-based pipeline that handles sensitive financial data.
Which two test types should be prioritized to cover both safety under attack and cross-component correctness? (Select two.)
A) Integration tests that verify end-to-end pipeline behavior across all components.
B) Regression tests against a stable reference set of previously known-good outputs.
C) Smoke tests that verify core paths after each deployment.
D) Unit tests targeting only individual prompt-template rendering logic.
E) Adversarial tests using prompt-injection and malformed-input cases.
3. A Claude Architect is reviewing a post-deployment performance report for an AI-assisted legal-document summarization system. The report includes these observations:
* Average summarization time decreased from 47 minutes to 6 minutes per document.
* Associates spend less time on summaries, but overall billable output has not measurably changed.
* Infrastructure costs increased by 22% because redundant retry logic generated additional API calls.
* Some summaries require attorney correction, adding an average of 8 minutes of review per document.
Which analysis correctly attributes each observation to the appropriate business-value pillar?
A) Observation 1 indicates an efficiency gain; Observation 2 shows that productivity has not yet been realized; Observation 3 is a solution-cost issue; Observation 4 is an efficiency loss that partially offsets Observation 1.
B) Observation 1 is a transformation outcome; Observation 2 is an efficiency gain; Observation 3 is a performance-SLA degradation; Observation 4 is a solution-cost issue.
C) Observations 1 and 4 together indicate a net performance-SLA improvement; Observation 2 is a transformation gap; Observation 3 is a productivity drain from over-engineering.
D) Observations 1 and 2 both indicate efficiency gains; Observation 3 is a solution-cost issue; Observation
4 is a performance-SLA issue.
4. You are compiling continuity practices that span the deployment lifecycle.
Which two practices belong on the list? (Select two.)
Each correct answer presents a complete solution.
A) Archive every phase deliverable in long-term storage to preserve a record of what was produced.
B) Maintain a stakeholder register and notify the listed parties at every phase transition event.
C) Carry the evaluation framework and reference set forward across iterations rather than rebuilding each time.
D) Capture lessons learned at the end of each phase and surface them as inputs to the next phase.
E) Lock decisions made in early phases to prevent revisiting them as later phases begin.
5. You are configuring tool permissions for a Claude-based assistant. The assistant's defined responsibilities require read access to a knowledge base and write access to a draft queue, and nothing else.
Which scoping design best applies least privilege?
A) Disable all tools entirely to achieve a minimal permission surface, accepting that the assistant can no longer perform the read-knowledge-base or write-draft-queue tasks it was designed for.
B) Allow access to every tool in the catalog and rely on the model to decline tools it should not use.
C) Allow access to all tools with read permissions globally and restrict write permissions to the draft- queue tool, without scoping to only the specific tools required for defined tasks.
D) Per-role allow-list of exactly the read-knowledge-base and write-draft-queue tools, enforced at the orchestration layer.
Solutions:
| Question # 1 Answer: B,D | Question # 2 Answer: A,E | Question # 3 Answer: A | Question # 4 Answer: C,D | Question # 5 Answer: D |
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