Library / Artificial Intelligence
Claude Certified Architect-Professional (CCAR-P) -6 Exams
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About this course
This practice test bundle contains multiple full-length practice exams for the Anthropic Claude Certified Architect — Professional (CCAR-P) exam. Each exam is built from a pool of original questions, weighted by domain to match the official exam blueprint.
D1: Solution Design & Architecture (17% of the exam), covering translate business problems into claude-based ai solutions, align solutions to business value pillars (efficiency, transformation, productivity, cost, performance slas), design end-to-end architectures (input, processing, output, feedback loops), select appropriate architectural patterns (workflow, agentic, augmented llm), design multi-agent systems and orchestration strategies, apply decomposition techniques for complex problem solving. You will understand how each of these areas is tested on the exam and how they connect to real-world practice.
D2: Claude Models, Prompting & Context Engineering (13% of the exam), covering select appropriate claude models based on trade-offs, design system prompts, templates, and guardrails, apply prompt engineering techniques (zero-shot, few-shot, chain-of-thought), optimize context windows and manage token usage, implement prompt reuse strategies (caching, modular prompts, skills). You will understand how each of these areas is tested on the exam and how they connect to real-world practice.
D3: Integration (19% of the exam), covering evaluate tool/agent configuration for capability bloat, analyze authentication and authorization requirements to identify security gaps, evaluate accuracy-latency trade-offs and justify configuration decisions, design a rag pipeline with appropriate chunking and indexing strategies, apply retrieval strategies matched to data shape and query pattern, evaluate connection protocols and select the integration mechanism (mcp, api/cli, agent-to-agent), analyze observability challenges and select monitoring strategies at scale, evaluate progressive discovery vs.
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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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