In March 2026, Anthropic officially launched Claude Certified Architect – Foundations (CCA-F) Certification exam.
This is not an introductory course on "How to Use ChatGPT to Write Email". CCA-F is a serious architect level certification-60 situational multiple-choice questions, 120-minute time limit, invigilating environment, and a pass score of 720/1000. It tests not whether you can write a prompt, but whether you can use Claude to design, build and operate aproduction-levelAI system.
The exam is currently open to employees of Anthropic partner companies, and the first 5,000 partner employees take it for free.
| project | details |
|---|---|
| Exam Name | Claude Certified Architect – Foundations (CCA-F) |
| Question creator | Anthropic official |
| question type | 60 scene-based multiple-choice questions |
| duration | 120 minutes |
| passing score | 720 / 1000 |
| examination form | Online invigilation (Proctor) |
| scene | Randomly select 4 scenarios from 6 scenarios |
| costs | Free for the first 5,000 partner employees |
Each question is embedded in a real production scene. You are not answering "What are the APIs of the Agent SDK?" You are answering:
"You are the architect of a customer support team. You need to design an Agent that can process refunds, check order status, and automatically upgrade to manual in complex situations. Which of the following architectures best fits Anthropic's best practices?"
You need to understand: when to use the hooks of the Agent SDK for compliance checks, when to use the MCP tool, when to let the Agent decide for itself, and when to require human approval.
The exam covers 5 domains, each with clear weights:
This is the heaviest piece. The test is whether you can use Claude's Agent SDK to design and orchestrate a multi-agent system.
Core test points:
- Agentic Loops：循环的终止条件不是靠固定次数，而是靠 stop_reason（tool_use vs end_turn）
- Multi-Agent Orchestration：Hub-and-spoke 架构、coordinator-subagent 模式
- Lifecycle Hooks：用代码而不是 prompt 来强制执行业务规则
- Session Management：会话状态的恢复、分叉和隔离
- Task Decomposition：把一个大任务拆成多个子 Agent 并行执行
考的是你怎么给 Agent 设计工具，以及怎么集成 MCP（Model Context Protocol）服务。
核心考点：
- 工具描述的最佳实践（description 写得不好 = 模型用不对）
- 结构化错误响应: Must containisError,errorCategory,isRetryableand context information_
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- _Tool quantity control: Each Agent maintains 4-5 tools, and the model selection accuracy of more than 18 tools is significantly reduced
- Configuration and integration of MCP Server_
- Selection strategy for Claude's built-in tools (Read, Write, Bash, Grep, Glob)_
The test is how you configure Claude Code to support team development workflows.
Core test points:
- CLAUDE.md hier arch y: Global → Project → Directory → File Configuration Inheritance
- Custom slash commands and Skills
- Plan Mode vs Direct Execution: When to ask Claude to plan first and then implement it, and when to work directly
- Iterative optimization techniques
- CI/CD integration: using -p 标志进行非交互式运行、--output-format json 获取结构化输出
不是「写个好 prompt」，而是怎么在生产系统中可靠地获得结构化输出。
核心考点：
- tool_use 模式：用 tool_use 而不是纯文本解析来获取结构化数据
- JSON Schema 设计
- Validation-Retry Loop：验证输出 → 不符合 schema → 自动重试
- Few-shot prompting 保持一致性
- Multi-instance & multi-pass review：用不同的 session 做 review，避免 reasoning context 偏见
The exam is the most easily overturned question in the production environment: context management.
Core test points:
- Risks of long context processing and progressive summary
- Context Transfer between Multiple Agents
- Error propagation: How do errors spread in multi-agent systems
- Escalation patterns: Upgrade based on task complexity and strategy gaps, not based on sentiment analysis
- Information traceability (Provenance) and multi-source synthesis
- Confidence calibration: Don't rely on the self-reported confidence of the model, use structured criteria to judge
The exam is not an abstract question and answer about knowledge points, but rather puts you in one of six real scenarios:
Design a customer service Agent: handle consultations, solve problems, and upgrade complex situations manually. Test Agent SDK, MCP tools, and upgrade logic.
为开发团队配置 Claude Code 工作流。考 CLAUDE.md 配置、plan mode、slash commands、TDD 迭代。
构建一个 coordinator-subagent 并行研究系统。考 multi-agent 编排、上下文隔离和传递、错误传播、结果综合。
用 Claude Agent SDK 构建开发者工具。考内置工具选择、MCP server 集成、代码库探索策略。
把 Claude Code 集成到 CI/CD 流水线。考 -p Non-interactive mode, structured output, Batch API, session isolation.
Extract structured data from unstructured documents. Test JSON schema design, tool_use, validation-retry loop, few-shot prompting.
CCA-F's multiple-choice questions are very tricky-wrong options seem reasonable, but they are all common anti-patterns. Officials have summarized some high-frequency traps:
on: Inspection stop_reason（tool_usemeans that the tool still needs to be called,_end_turnmeans completed)_
Error: Set any iteration upper limit (For example,"Run up to 10 times") As the main stopping mechanism_
stop_reasonNatural termination_onToolCall) to make deterministic checkson: Use structured criteria and procedural checks to decide whether to upgrade
wrong: Upgrade based on sentiment analysis (user gets angry → switch to manual)
on: Contains isError、errorCategory、isRetryable structural errors in context
wrong: Silent swallow error (empty result = success)
_Anthropic's certification platform (anthropiccertifications.com) provides a complete preparation course:
Claude Certified Architect -Foundations_(30 lessons)_
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- Covering all 5 domains
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- Includes animated illustrations, exam trap analysis, hands-on exercises, scenario quiz
Claude Code 101 (20 lessons)
- Claude Code from beginner to advanced
- Hooks, MCP Server, SDK Integration
Introduction to MCP (21 Lessons)
- Model Context Protocol End-to - End
- Architecture, primitives, build server and client
Introduction to Subagents（18 节课）
- 子 Agent 委托
- 上下文隔离、设计模式、多 Agent 编排
Introduction to Agent Skills（16 节课）
- 端到端构建 Agent Skills
- SKILL.md、progressive disclosure、多文件技能、分享
The officially recommended 12-week structured study plan allocates the study progress of 5 domains on a weekly basis.
| project | costs |
|---|---|
| Certification platform basic edition | Free (concept library, knowledge map, courses, interval review, adaptive exercises) |
| Certification platform Premium | <$999 (one-time, approximately ¥85): AI Tutor, 5 sets of mock exams, performance dashboard |
| examination fee | Free for the first 5,000 partner employees |
| CertSafari question bank | 614 exercise questions (paid) |
To be honest, certifications in the AI field currently do not have the same industry recognition as AWS Solutions Architect or Kubernetes CKA. The value of CCA-F depends on:
But at least, the CCA-F exam content is designed seriously. It doesn't test the trivia of "How many parameters does Claude have?", but it tests "If your Agent goes wrong in the production environment, how can you make the system handle it gracefully instead of crashing"-this is what people who have actually done Agent development will ask.
CCA-F is not testing whether you know what Claude is, but whether you canUse it to build a system that actually works online--A system that can handle exceptions at 3 a.m., not crash when context explodes, and not lose data when multi-agent collaboration.
If this is what you do every day, this certification is worth a try. If you're preparing to do this, its test preparation material itself is an excellent guide to Agent architecture.
author: itech001
source: Public Account: AI Artificial Intelligence Era
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参考来源：
- Claude Certified Architect — Foundations Course | Anthropic Certifications
- CCA-F Exam Guide | Claude Certifications
- CCA-F | Panaversity Certification
- Claude Certified Architect Foundations Training | Simpliaxis
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