Claude Certified Architect – Foundations (CCAR-F) practice exam and study path
A free, timed 60-question CCAR-F practice exam in 120 minutes, scored by domain, with every option explained after you submit. Also 206 practice questions you can check one at a time, a page for every task in the exam guide, and a study path. No sign-up.
$7for 12 months
For solution architects who build production applications with Claude: agentic loops and multi-agent orchestration with the Claude Agent SDK, tool and MCP design, Claude Code configuration, structured output, and context and reliability decisions.
The exam
- Exam code
- CCAR-F
- Questions
- Not yet published
- Time
- 120 minutes
- Passing score
- 720 of 1,000 (scaled)
- Exam fee
- $125 (USD)
- Question types
- multiple choice, multiple response
60 scenario-based multiple-choice and multiple-response items from 4 of 6 published scenarios, in 120 minutes, delivered by Pearson VUE online (OnVUE) or at a test center, in English or Japanese. Registration is open only to people at Claude Partner Network organizations, with a partner email address; the $125 fee is before any partner-tier discount. The credential is valid for 12 months, and on-time renewal is a free assessment on the Anthropic Partner Academy.
From Anthropic's certification page and exam guide, checked Oct 18, 2026.
Domains and weights
Domain 1: Agentic Architecture & Orchestration
27%
Domain 2: Tool Design & MCP Integration
18%
Domain 3: Claude Code Configuration & Workflows
20%
Domain 4: Prompt Engineering & Structured Output
20%
Domain 5: Context Management & Reliability
15%
On our roadmap this comes after AI Practitioner. See every certification.
Practice
206 original practice questions, every option explained with the Anthropic documentation page that proves it. Free, no sign-up; progress stays on this device.
206 questions · practice mode
All domains
Every sample question for this exam, in domain order.
50 questions · practice mode
Topic quiz — Domain 1: Agentic Architecture & Orchestration
A topic quiz on domain 1 (27% of the exam).
36 questions · practice mode
Topic quiz — Domain 2: Tool Design & MCP Integration
A topic quiz on domain 2 (18% of the exam).
41 questions · practice mode
Topic quiz — Domain 3: Claude Code Configuration & Workflows
A topic quiz on domain 3 (20% of the exam).
41 questions · practice mode
Topic quiz — Domain 4: Prompt Engineering & Structured Output
A topic quiz on domain 4 (20% of the exam).
38 questions · practice mode
Topic quiz — Domain 5: Context Management & Reliability
A topic quiz on domain 5 (15% of the exam).
60 questions · 120 min · timed
Full practice exam
The real exam's pace, no feedback until you submit.
60 questions · 120 min · timed · exam pack
Practice exam 1
Included in the Architect – Foundations exam pack.
60 questions · 120 min · timed · exam pack
Practice exam 2
Included in the Architect – Foundations exam pack.
60 questions · 120 min · timed · exam pack
Practice exam 3
Included in the Architect – Foundations exam pack.
More practice exams
The lessons, the sample questions on every task page and the first full practice exam are free and stay free. A pack adds the further timed CCAR-F practice exams.
Architect – Foundations exam pack
$7for 12 months
- Every paid CCAR-F practice exam, timed, with every option explained
- The next version of this exam included when it changes within your 12 months
- 12 months of access. One payment, nothing renews by itself.
- 14-day refund, no conditions
- 14-day refund, no conditions: ask within 14 days of buying and you get the whole payment back.
- No pass guarantee. These are practice exams written by us from the exam guide and the Anthropic documentation; a score here does not predict your result on the real exam.
Study path
One module per exam domain. Lessons that already exist on BytePatterns are linked; the rest are being written.
Module 1: Agentic Architecture & Orchestration
1The agentic loop: stop_reason, tool_use and tool_result, and when the loop endsTask 1.1
Partly covered by: The Tool-Use Loop, Agents and Tools
2Model-driven tool choice versus fixed decision treesTask 1.1, 1.6
Partly covered by: Agents and Tools
3Coordinator and subagents: hub-and-spoke routing, scope partitioning and refinement loopsTask 1.2
Lesson coming
4Spawning subagents with the Agent tool: AgentDefinition, explicit context and parallel callsTask 1.3
Lesson coming
5Enforcing workflow order in code and handing off to humansTask 1.4
Partly covered by: Guardrails
6Agent SDK hooks: PreToolUse to block or redirect, PostToolUse to normalize resultsTask 1.5
Partly covered by: Guardrails
7Prompt chaining versus adaptive decomposition; per-file and integration passesTask 1.6
Lesson coming
8Sessions: continue, resume by name or ID, fork, and fresh starts from a summaryTask 1.7
Lesson coming
Module 2: Tool Design & MCP Integration
9Tool names and descriptions that Claude can choose betweenTask 2.1
Partly covered by: Agents and Tools, Designing a REST API
10Structured tool errors: isError, error categories, retryable flags and empty resultsTask 2.2
Partly covered by: The Tool-Use Loop
11Scoping tools per agent and the tool_choice optionsTask 2.3
Partly covered by: Agents and Tools
12MCP servers in Claude Code: scopes, .mcp.json, environment variables and resourcesTask 2.4
Lesson coming
13Built-in tools: Grep, Glob, Read, Write, Edit and Bash, and incremental explorationTask 2.5
Lesson coming
Module 3: Claude Code Configuration & Workflows
14CLAUDE.md hierarchy, @imports and .claude/rules/Task 3.1
Lesson coming
15Custom commands and skills: scope, SKILL.md frontmatter and when to use a skillTask 3.2
Lesson coming
16Path-specific rules with paths globsTask 3.3
Lesson coming
17Plan mode, direct execution and the Explore subagentTask 3.4
Partly covered by: Context Windows
18Iterative refinement: examples, tests first, the interview patternTask 3.5
Partly covered by: Evaluating LLMs
19Claude Code in CI: -p, JSON output with a schema, and independent review runsTask 3.6
Lesson coming
Module 4: Prompt Engineering & Structured Output
20Explicit review criteria, severity definitions and false-positive controlTask 4.1
Partly covered by: Evaluating LLMs
21Few-shot examples for format, ambiguous cases and varied documentsTask 4.2
Partly covered by: Fine-Tuning vs Prompting
22Structured output: extraction tools, strict schemas, tool_choice and nullable fieldsTask 4.3
Lesson coming
23Validation and retry loops, and when a retry cannot helpTask 4.4
Partly covered by: Guardrails
24The Message Batches API: when to batch, custom_id and resubmitting failuresTask 4.5
Partly covered by: Message Queues
25Independent reviewers and multi-pass reviewsTask 4.6
Partly covered by: LLM as a Judge
Module 5: Context Management & Reliability
26Case facts, trimmed tool results and position-aware inputTask 5.1
Partly covered by: Context Windows
27Escalation triggers and ambiguity: when to hand over and when to askTask 5.2
Partly covered by: Guardrails
28Error propagation between subagents and the coordinatorTask 5.3
Partly covered by: The Tool-Use Loop
29Large codebases: subagents, scratchpads, manifests and /compactTask 5.4
Partly covered by: Context Windows
30Human review: stratified sampling, segment accuracy and calibrated confidenceTask 5.5
Partly covered by: Evaluating LLMs, From Pilot to Production
31Provenance in synthesis: claim-source mappings, conflicts and datesTask 5.6
Partly covered by: Retrieval-Augmented Generation
Every task in the exam guide
The exam guide splits each domain into task statements. Each one has a page with a short summary, the lessons that teach it and open sample questions.
Domain 1: Agentic Architecture & Orchestration
- 1.1Design and implement agentic loops for autonomous task execution8 sample questions
- 1.2Orchestrate multi-agent systems with coordinator-subagent patterns7 sample questions
- 1.3Configure subagent invocation, context passing, and spawning7 sample questions
- 1.4Implement multi-step workflows with enforcement and handoff patterns7 sample questions
- 1.5Apply Agent SDK hooks for tool call interception and data normalization7 sample questions
- 1.6Design task decomposition strategies for complex workflows7 sample questions
- 1.7Manage session state, resumption, and forking7 sample questions
Domain 2: Tool Design & MCP Integration
- 2.1Design effective tool interfaces with clear descriptions and boundaries8 sample questions
- 2.2Implement structured error responses for MCP tools7 sample questions
- 2.3Distribute tools appropriately across agents and configure tool choice7 sample questions
- 2.4Integrate MCP servers into Claude Code and agent workflows7 sample questions
- 2.5Select and apply built-in tools (Read, Write, Edit, Bash, Grep, Glob) effectively7 sample questions
Domain 3: Claude Code Configuration & Workflows
- 3.1Configure CLAUDE.md files with appropriate hierarchy, scoping, and modular organization7 sample questions
- 3.2Create and configure custom slash commands and skills7 sample questions
- 3.3Apply path-specific rules for conditional convention loading7 sample questions
- 3.4Determine when to use plan mode vs direct execution7 sample questions
- 3.5Apply iterative refinement techniques for progressive improvement6 sample questions
- 3.6Integrate Claude Code into CI/CD pipelines7 sample questions
Domain 4: Prompt Engineering & Structured Output
- 4.1Design prompts with explicit criteria to improve precision and reduce false positives7 sample questions
- 4.2Apply few-shot prompting to improve output consistency and quality7 sample questions
- 4.3Enforce structured output using tool use and JSON schemas7 sample questions
- 4.4Implement validation, retry, and feedback loops for extraction quality7 sample questions
- 4.5Design efficient batch processing strategies7 sample questions
- 4.6Design multi-instance and multi-pass review architectures6 sample questions
Domain 5: Context Management & Reliability
- 5.1Manage conversation context to preserve critical information across long interactions7 sample questions
- 5.2Design effective escalation and ambiguity resolution patterns7 sample questions
- 5.3Implement error propagation strategies across multi-agent systems7 sample questions
- 5.4Manage context effectively in large codebase exploration6 sample questions
- 5.5Design human review workflows and confidence calibration6 sample questions
- 5.6Preserve information provenance and handle uncertainty in multi-source synthesis5 sample questions
How these questions are made
- Written by us from the exam guide's task statements and the Anthropic documentation — never from real exam content.
- Every option carries its own explanation and a link to the Anthropic page that proves it.
- A question enters a timed exam only after an independent check; until then it is a practice question.
- Results are a plain percentage, per domain too — not an imitation of Anthropic's scaled score.
Questions about the CCAR-F practice exam
- Is the CCAR-F practice exam free?
- Yes. The full practice exam (60 questions, 120 minutes) is free with no sign-up, and so are the 206 practice questions, the task pages and the study path. Your attempts are saved in this browser, on this device.
- How many questions does it have, and is it timed?
- 60 questions in 120 minutes: the real CCAR-F pace, scaled to this form. When the time runs out, the exam is submitted as it stands.
- Are the answers explained?
- After you submit, not during: like the real exam, the timed exam gives no feedback until the end. Then you get your score overall and per exam domain, and every question with each option explained and a link to the Anthropic documentation page behind it. In practice mode an answer is explained as soon as you check it.
- What does the Architect – Foundations exam pack add?
- 3 more timed practice exams (Practice exam 1: 60 questions, 120 minutes; Practice exam 2: 60 questions, 120 minutes; Practice exam 3: 60 questions, 120 minutes), each scored and explained the same way, and the next version of this exam if it changes within your 12 months. 12 months of access. One payment, nothing renews by itself. Everything above stays free. See the pack.
- Can I get a refund?
- Yes, with no conditions: ask within 14 days of buying and you get the whole payment back. The details are in the terms.
- Is this an official Anthropic practice exam?
- No. BytePatterns is not affiliated with, endorsed or sponsored by Anthropic. Every question is written by us from the public exam guide and the Anthropic documentation, never from real exam content, and a score here does not predict your result on the real exam. Anthropic lists its own preparation resources on its certification page.