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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