Library / Artificial Intelligence
CCAR-F Claude Certified Architect Foundations Practice Tests
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About this course
This course contains the use of artificial intelligence.
Anthropic's Claude Certified Architect - Foundations (CCAR-F) covers the skills needed to design, wire up and operate Claude-based systems in production rather than to prompt a chat window. This course gives you 200 original practice questions across four full-length practice exams of 50 questions each.
Every single question carries two things most practice banks do not. First, a written explanation covering why the correct answer is right and why each distractor is a trap, so the questions teach rather than merely test. Second, a custom infographic drawn for that specific question, so the architecture being described is something you can see rather than something you have to hold in your head.
The questions are scenario-based and set in civic and municipal contexts - city AI pilots, public-health records, permitting chatbots, 311 assistants, court and clerk workflows, transit and utilities operations - because architecture decisions only mean anything against real constraints.
The 200 questions are distributed across the five exam domains:
- Agentic Architecture and Orchestration (27%) - agent decomposition, delegation, orchestration patterns, failure handling
- Claude Code Configuration and Workflows (20%) - configuration, hooks, skills, permissions, repository workflows
- Prompt Engineering and Structured Output (20%) - prompt design, schema-constrained output, evaluation
- Tool Design and MCP Integration (18%) - tool interfaces, Model Context Protocol servers, integration boundaries
- Context Management and Reliability (15%) - context windows, compaction, retrieval, reliability and recovery
Who this is for: engineers and architects building agentic systems on Claude; developers adopting Claude Code and MCP in a team; anyone validating readiness across all five CCAR-F domains before exam day.
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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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