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More Information
| Anthropic | Anthropic |
|---|---|
| Exam name | Claude Certified Architect – Foundations |
| Exam Code | CCAR-F |
| Number of Question | 152 |
| Update at | Sep 25, 2026 |
Description
Claude Certified Architect – Foundations (CCAR-F)
Everything you need to master the CCAR-F exam — structure, blueprint domains, production scenarios, fees, and tactical study plans, paired with scenario-grounded Claudemock™ practice simulations.
01. What is the CCAR-F Certification?
The Claude Certified Architect – Foundations (CCAR-F) is Anthropic's foundational technical credential for professionals who design, build, and deploy production-grade systems on Claude. Built for solutions architects, software engineers, AI engineers, and technical leads, it assesses your ability to make sound architectural decisions across agentic orchestration, tool and MCP design, Claude Code workflows, structured output, and context management.
Originally launched in March 2026 under the community shorthand "CCA-F", the exam moved to Pearson VUE on 30 June 2026 (online proctoring through OnVUE or physical testing centers). Exam content was unchanged by the move. Passing candidates earn a verified digital Credly badge valid for 12 months, renewable through a free, non-proctored annual assessment.
CCAO-F
Foundations for day-to-day business productivity, prompting, & data governance.
CCDV-F
API integration, Agent SDK implementation, & programmatic tool-calling.
CCAR-F
Foundational agentic architecture, MCP tool design, Claude Code, & reliability.
CCAR-P
Advanced multi-tenant systems, high-scale agent orchestration, & governance.
02. Exam Format & Specifications
| Questions | 60 scenario-based items (Multiple-choice & multiple-response) |
|---|---|
| Duration | 120 minutes (~2 minutes per item) |
| Passing Benchmark | Scaled score of 720 (range: 100–1,000) |
| Scenario Structure | 4 of 6 production scenarios randomly selected per sitting; all items anchored to those scenarios |
| Testing Delivery | Pearson VUE OnVUE (remote proctored) or Authorized Test Centers |
| Registration Fee | $125 USD per attempt (No complimentary retakes; eligible partner-tier discounts shown at checkout) |
| Prerequisites | Corporate association with a Claude Partner Network tier (Free "Registered" tier eligible). ~6 months hands-on with the Claude API, Agent SDK, Claude Code & MCP recommended |
| Cooldown / Retake Policy | Attempt 2: 14-day wait | Attempt 3: 30 days | Attempt 4: 90 days (Max 4/year) |
| Validity & Renewal | 12 months; free, non-proctored annual renewal module |
03. Exam Domains & Blueprint Weights
Nearly half (47%) of the total exam weight centers on Agentic Architecture and Claude Code Configuration. Memorizing API parameters or definitions will not yield a passing score — you must make production-grade design decisions inside realistic deployment scenarios.
| Domain | Weight | Core Evaluated Skills |
|---|---|---|
| 1. Agentic Architecture & Orchestration | 27% | Agent loops, task decomposition, hub-and-spoke subagent coordination, human-in-the-loop escalation. |
| 2. Tool Design & MCP Integration | 18% | Tool descriptions & schemas, tool selection errors, MCP primitives (tools, resources, prompts), error responses. |
| 3. Claude Code Configuration & Workflows | 20% | CLAUDE.md hierarchy, custom slash commands, Skills frontmatter, hooks, CI/CD & headless integration. |
| 4. Prompt Engineering & Structured Output | 20% | Explicit criteria, few-shot conditioning, JSON schema via tool use, validation-retry loops, batch & multi-pass review. |
| 5. Context Management & Reliability | 15% | Context window budgeting, prompt caching, conversation compaction, graceful degradation, long-session reliability. |
The 6 Production Scenarios (4 appear per sitting)
04. Ideal Candidate Profile
Built For
- Solutions architects designing Claude-powered systems.
- Software & AI engineers shipping agents to production.
- Technical leads standardizing Claude Code across teams.
- Consultants delivering MCP and Agent SDK integrations.
Out of Scope (Choose CCAO-F or CCAR-P)
- Business users relying on Claude for daily productivity (CCAO-F).
- Non-technical managers without API or Claude Code experience.
- Architects of high-scale, multi-tenant enterprise platforms (CCAR-P).
05. Why Candidates Fail & How Claudemock Solves It
Scenario Context Switching
Four production scenarios in 120 minutes force rapid shifts between architectures.
Prompt vs. Programmatic Traps
Many distractors "fix" a reliability problem with prompt wording instead of enforced controls.
Claude Code Specifics
CLAUDE.md scopes, Skills frontmatter, and CI flags are tested in precise detail.
06. Recommended 4-Week Study Sprint
Core Architecture & Foundations
Read the official CCAR-F exam guide and its sample questions. Complete Anthropic Academy courses on the Claude API, MCP (intro and advanced), Claude Code, subagents, and Agent Skills.
Domain-by-Domain Drilldowns
Complete all practice modules on Claudemock.com, prioritizing Agentic Architecture and Claude Code Configuration. Read all feedback rationales, especially for correct answers.
Hands-on Sandbox Build
Build a tool-using agent loop with an escalation path, write a small MCP server, configure project-level CLAUDE.md, custom commands and hooks, and run Claude Code non-interactively in a CI job.
Simulated Full Mocks & Pacing
Complete two timed, closed-book Claudemock exams in single sittings. Verify your domain radar chart stays consistently above 85% before scheduling on Pearson VUE.
07. Sample Examination Questions
Original practice questions matching official CCAR-F depth and difficulty.
A customer support agent can issue refunds through a tool. Policy requires human approval for any refund above $500. In testing, the agent occasionally issues large refunds despite a clear system prompt rule. What is the most reliable fix?
Correct Answer: B.
Prompt instructions are guidance, not guarantees. When a business rule has financial or compliance consequences, it must be enforced programmatically at the tool boundary, with a deterministic escalation path to a human.
An agent has two tools, search_orders and get_order, and frequently calls the wrong one. Both have one-line descriptions. Which two changes most directly improve tool selection? (Select 2)
orders tool as a fallbackCorrect Answers: A and C.
Claude selects tools from their descriptions and schemas. Clear, differentiated descriptions and distinct input shapes remove ambiguity. Adding randomness or overlapping tools makes misselection worse.
A tech lead wants every engineer using Claude Code in a repository to follow the same testing and naming conventions automatically, with changes reviewed like any other code. Where should these conventions live?
~/.claude/CLAUDE.mdCorrect Answer: B.
A project-level CLAUDE.md is loaded automatically for everyone working in the repo and is version-controlled, so conventions are shared and reviewable. User-level files apply only to one person; manual pasting is inconsistent.
08. Frequently Asked Questions
Ready to Pass CCAR-F on Your First Attempt?
Sharpen your timing, work through realistic production scenarios, and track domain-level readiness with Claudemock™ practice exams.
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