Validates advanced architecture at scale: designing enterprise solutions, architecting integrations, evaluating and optimizing systems, applying governance and risk management, leading stakeholders across the solution lifecycle, and enabling developer productivity and operations.
Aligned to official Anthropic exam objectivesWritten by certified professionalsScenario-based difficulty mirrors the real exam
Integration(39)Solution Design and Architecture(34)Evaluation Testing and Optimization(31)Governance Safety and Risk Management(31)Stakeholder Communication and Lifecycle Management(25)Claude Models Prompting and Context Engineering(25)Developer Productivity and Operational Enablement(15)
Question Sets
CCAR-P Set 1
50 questions
New
Pro
CCAR-P Set 2
50 questions
New
Pro
CCAR-P Set 3
50 questions
New
Pro
CCAR-P Set 4
50 questions
New
Pro
Sample Questions
Q1.
medium
An enterprise architect is migrating a proof-of-concept Claude chatbot to production. The POC used a single Messages API call per user request with no caching. Production requirements specify 10,000 daily users with average 15-message conversations. The system prompt is 25,000 tokens and rarely changes. Which caching strategy provides the most cost-effective production architecture?
Q2.
hard
A financial services client requires a Claude-powered document analysis system processing 50,000 regulatory documents monthly. The architecture must maintain ZDR compliance, support concurrent analysis requests, and provide sub-2-second latency for 95th percentile. Initial POC used synchronous Messages API with document upload via Files API. Which production architecture modification is required to meet all requirements?
Q3.
medium
An architect is designing error handling for a production Claude integration that experiences periodic API rate limit errors during peak traffic. The business requires 99.9% message delivery within 30 seconds. Which error handling strategy best meets this requirement?
Q4.
easy
Which integration pattern should an architect use when the client requires that no prompt or response data be retained by Anthropic after the API call completes?
Q5.
hard
An enterprise architect is designing a multi-region Claude deployment for a global customer service application. The system must route requests to the nearest region for latency optimization while maintaining conversation continuity when users travel between regions. Regulatory requirements mandate that EU user data never leaves EU regions. Which architecture pattern best addresses these requirements?
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