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Claude Certified Architect Foundations (CCA-F) v2 Prep Test

The Ultimate CCA-F Practice Exam Vault – Pass with Confidence Using Scenario-Based Questions, Detailed Explanations

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Claude Certified Architect  Foundations (CCA-F) v2 Prep Test course previewCOURSE PREVIEW

About this course

Elevate Your AI Architecture Career with the Claude Certified Architect – Foundations Credential

The Claude Certified Architect – Foundations (CCA-F) is Anthropic's first official technical certification, launched in March 2026 as part of a $100 million investment in the Claude Partner Network . This credential validates your ability to design, build, and operate production-grade AI systems using Claude—not just theoretical knowledge, but real-world architectural judgment .

Unlike generic AI certifications, the CCA-F exam is scenario-based and proctored . It tests how you approach agentic architecture, tool design, MCP integration, and responsible AI governance in enterprise environments . Earning this credential demonstrates that you can move beyond simple API integration to architecting systems that scale, stay reliable, and uphold safety standards .

This comprehensive prep course is meticulously designed to equip you with everything you need to conquer the CCA-F exam on your first attempt. Updated for the v2 exam cycle (2026) , our program reflects the latest exam objectives, the full domain weighting, and the six real-world scenarios that anchor the test.

The CCA-F exam is not a beginner certification . It is designed for practitioners who already have hands-on experience with Claude, the Agent SDK, Claude Code, and the Model Context Protocol (MCP) . The exam tests your architectural decision-making, not memorization . Every question is anchored in a production context, drawn from real Anthropic customer deployments

Our prep program mirrors this approach. You will not just memorize facts; you will learn to think like a Claude Architect—evaluating trade-offs, designing reliable systems, and making the right choices under pressure.

What you'll learn

  • Designing agent loops, multi-agent patterns, and session management Task decomposition, subagent isolation, and coordinator/subagent patterns
  • The difference between building your own loop on the Messages API versus using the Agent SDK Orchestration patterns, agent coordination protocols
  • CLAUDE md hierarchy—from managed policy down to lazy-loaded subdirectory files Custom slash commands, plan mode vs. direct execution, and the new Agent Skills
  • Tool design best practices—single-purpose tools, routing-quality descriptions, tight schemas, and idempotency

Before you begin

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Who this is for

  • AI Engineers & Solution Architects: Professionals building production AI systems with Claude
  • Developers Using Claude Code: Those integrating Claude into CI/CD pipelines and development workflows

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