Study plan

Work through every task statement: read its summary, go over its decisions & terms, drill its exam traps, then solve practice questions elsewhere. Tap a task to open it, and tick each step as you finish it. Your ticks stay in this browser.

Reported exam format: 60 questions, 120 minutes, 720 of 1000 to pass. It comes from candidates and third-party guides; confirm it in the official exam guide.

Task statementSummaryDecisions & termsExam trapsPractice questions
1.1Design and implement agentic loops for autonomous task execution
1.2Orchestrate multi-agent systems with coordinator-subagent patterns
1.3Configure subagent invocation, context passing, and spawning
1.4Implement multi-step workflows with enforcement and handoff patterns
1.5Apply Agent SDK hooks for tool call interception and data normalization
1.6Design task decomposition strategies for complex workflows
1.7Manage session state, resumption, and forking
2.1Design effective tool interfaces with clear descriptions and boundaries
2.2Implement structured error responses for MCP tools
2.3Distribute tools appropriately across agents and configure tool choice
2.4Integrate MCP servers into Claude Code and agent workflows
2.5Select and apply built-in tools (Read, Write, Edit, Bash, Grep, Glob) effectively
3.1Configure CLAUDE.md files with appropriate hierarchy, scoping, and modular organization
3.2Create and configure custom slash commands and skills
3.3Apply path-specific rules for conditional convention loading
3.4Determine when to use plan mode vs direct execution
3.5Apply iterative refinement techniques for progressive improvement
3.6Integrate Claude Code into CI/CD pipelines
4.1Design prompts with explicit criteria to improve precision and reduce false positives
4.2Apply few-shot prompting to improve output consistency and quality
4.3Enforce structured output using tool use and JSON schemas
4.4Implement validation, retry, and feedback loops for extraction quality
4.5Design efficient batch processing strategies
4.6Design multi-instance and multi-pass review architectures
5.1Manage conversation context to preserve critical information across long interactions
5.2Design effective escalation and ambiguity resolution patterns
5.3Implement error propagation strategies across multi-agent systems
5.4Manage context effectively in large codebase exploration
5.5Design human review workflows and confidence calibration
5.6Preserve information provenance and handle uncertainty in multi-source synthesis

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About & disclaimer

Unofficial and independent

The CCAR-F Field Guide is an independent study aid made by and for a study group. It is not affiliated with, endorsed by, sponsored by or approved by Anthropic, PBC. "Anthropic", "Claude", "Claude Code" and "Claude Certified Architect" are names and trademarks of Anthropic, used here only to identify the exam this guide helps people prepare for.

What's here

The study plan lists the exam's five domains and their task statements. Each task statement has a plain-language summary; its decisions (the usual answer for each symptom a question describes) followed by the facts & terms to recall; and its exam traps, beliefs that sound right but aren't. Every row has an Arabic translation one tap away (the ع button), and a bookmark button that saves it to your Bookmarks (kept in this browser).

Practice test (in the header, and beside each task's Practice Qs tick) opens CertSafari's practice quiz in a new tab. It's an external site that this guide doesn't run or vouch for.

No real exam questions

Nothing on this site comes from the live exam. It contains no exam questions, answers or recalled items, and it should never be used to share them. Candidates are bound by the exam's confidentiality terms.

How to use it

The exam presents varied scenarios that need reasoning. Use the decisions to check your reasoning, not as keyword lookups: the details of the scenario decide. Read the summary first to understand why each mechanism works the way it does, and use quiz mode on the decisions, facts & terms and traps to test yourself.

Accuracy

  • The content was drafted with AI assistance and may contain mistakes or omissions.
  • Claude, Claude Code, the Agent SDK and MCP change quickly. Flags, field names, limits and model behaviour described here may be out of date. Check the official Anthropic documentation before relying on any detail.

No guarantee

Using this guide does not guarantee a passing score. Treat it as a review aid alongside the official documentation and hands-on practice.

Use

This guide is for our study group's own use. Please don't sell it or present it as official material. If you spot a mistake, tell the maintainer so it can be fixed for everyone.