Library / Artificial Intelligence
Claude Certified Architect Professional Exam Mock Tests
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About this course
The Claude Certified Architect – Professional (CCA-P / CCAR-P) certification exam is built around 7 core competency domains.
Because the exam evaluates senior solution architects across end-to-end production AI deployments, the domain weights are intentionally balanced to ensure both broad architectural vision and deep technical rigor.
CCA-P Blueprint & Exam Domains1. Integration (19% weight)Core Focus: Connecting Claude to existing enterprise systems, API mechanisms, and external tools.
Claude Certified Architect (CCA-P)Key Topics: Model Context Protocol (MCP) design, API and CLI integration patterns, tool/agent configuration management, authentication/authorization security gaps, latency vs. accuracy trade-offs, and Retrieval-Augmented Generation (RAG) pipeline architecture.
Claude Certified Architect (CCA-P)2. Solution Design & Architecture (17% weight)Core Focus: Translating high-level enterprise requirements into robust AI system architectures.
Claude Certified Architect (CCA-P)Key Topics: Choosing between agentic, workflow, or augmented-LLM architectural patterns; multi-agent orchestration; complex problem decomposition; aligning designs with business SLAs, cost controls, and system efficiency.
Claude Certified Architect (CCA-P)3. Evaluation, Testing & Optimization (16% weight)Core Focus: Measuring model performance, quality control, and ongoing production refinement.
Claude Certified Architect (CCA-P)Key Topics: Designing evaluation frameworks, defining custom LLM metrics, executing A/B tests, diagnosing edge-case failures, and implementing production telemetry/monitoring.
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Udemy: 2026-11-07 · Coursera: 2026-11-07 · O'Reilly: 2026-11-07 · 365 Data Science: 2026-11-07
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