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Anthropic CCAR-F Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Agentic Architecture & Orchestration | 27% | - Multi-agent patterns: coordinator-subagent and hub-and-spoke - Error recovery, guardrails and safety patterns - Session state management and workflow enforcement - Task decomposition and dynamic subagent selection - Agentic loop design and stop_reason handling |
| Topic 2: Claude Code Configuration & Workflows | 20% | - Hooks vs advisory instructions - Custom slash commands and plan mode vs direct execution - CLAUDE.md hierarchy, precedence and @import rules - CI/CD integration and non-interactive mode parameters - Path-specific rules and .claude/rules/ configuration |
| Topic 3: Prompt Engineering & Structured Output | 20% | - Validation, parsing and retry loop strategies - System prompt design and persona alignment - Explicit criteria definition and few-shot prompting - JSON schema design and structured output enforcement |
| Topic 4: Context Management & Reliability | 15% | - Context pruning and summarization strategies - Context window optimization and prioritization - Token budget management and cost control - Idempotency, consistency and failure resilience |
| Topic 5: Tool Design & MCP Integration | 18% | - Error handling and tool response formatting - Tool schema design and interface boundaries - Tool distribution and permission controls - Model Context Protocol (MCP) architecture and JSON-RPC 2.0 - MCP tool, resource and prompt implementation |
Anthropic Claude Certified Architect - Foundations Sample Questions:
Question 1
You are building a structured data extraction system using Claude. The system extracts information from unstructured documents, validates the output using JSON schemas, and maintains high accuracy. It must handle edge cases gracefully and integrate with downstream systems.
After your daily batch of 10,000 documents completes, 300 documents (3%) fail with context_length_exceeded errors. The results file identifies each failure by custom_id.
What is the most cost-effective approach to process these failures?
A. Increase the max_tokens parameter for the 300 failed documents and resubmit them in a new batch.
B. Resubmit only the 300 failed documents after chunking them into smaller pieces, and then combine the partial extractions.
C. Resubmit the entire 10,000-document batch using a model tier with a larger context window.
D. Reprocess the entire batch with prompt caching enabled to reduce the cost of retrying requests with identical system prompts.
Question 2
You are using Claude Code to accelerate software development. Your team uses it for code generation, refactoring, debugging, and documentation. You need to integrate it into your development workflow with custom slash commands, CLAUDE.md configurations, and understand when to use plan mode vs direct execution.
Your team frequently migrates React components to Vue. You've written a step-by-step workflow for Claude Code to follow during each migration, and you want every developer on the team to invoke it by typing /migrate-component. The workflow should stay in sync as the team iterates on it. Where should you place the skill file?
A. In the project's.claude/settings.json using a skillOverrides entry to register and define the workflow
B. In ~/.claude/skills/migrate-component/SKILL.md on each developer's machine
C. As a detailed instruction block in the project's root CLAUDE.md file
D. In .claude/skills/migrate-component/SKILL.md at the project root, committed to version control
Question 3
You are using Claude Code to accelerate software development. Your team uses it for code generation, refactoring, debugging, and documentation. You need to integrate it into your development workflow with custom slash commands, CLAUDE.md configurations, and understand when to use plan mode vs direct execution.
Your team has connected a custom MCP server that provides DevOps workflow templates. The server exposes several MCP prompts (such as deploy_checklist and incident_response) in addition to tools. How do these MCP prompts become accessible within Claude Code?
A. They are automatically prepended to every conversation as additional system-level context, influencing Claude's behavior throughout the session.
B. They are added to Claude Code's tool registry alongside the server's tools, invoked automatically by the model when relevant to the task.
C. They are surfaced as @-mentionable resources alongside files, fetched and attached to your message when referenced.
D. They appear as slash commands (e.g., mcp_servername_deploy_checklist) that you can invoke, with arguments passed after the command name.
Question 4
Production logs reveal inconsistent error handling: when lookup_order fails, the agent sometimes retries 5+ times (wasteful when the order ID doesn't exist), sometimes escalates immediately (premature for temporary network issues), and sometimes asks users for clarification (inappropriate when the issue is a backend permission error). Investigation shows your MCP tool returns uniform error responses: {"isError": true, "content": [{"type": "text", "text": "Operation failed"}]}. The agent cannot distinguish between error types. What's the most effective improvement?
A. Enhance error responses with structured metadata: include errorCategory (transient/validation/permission), isRetryable boolean, and a description of what caused the failure.
B. Create an analyze_error MCP tool the agent calls after any failure to determine the error category and recommended action.
C. Implement retry logic with exponential backoff in your MCP server for all errors, returning to the agent only after retries are exhausted.
D. Add few-shot examples to the system prompt demonstrating how to interpret error message patterns and select appropriate responses for each.
Question 5
An enterprise wants Claude responses to remain professional across every interaction. Where should tone instructions primarily reside?
A. API key description
B. System prompt
C. Retrieved documents
D. User prompt only
Solutions:
| Question 1 Answer: B | Question 2 Answer: D | Question 3 Answer: D | Question 4 Answer: A | Question 5 Answer: B |
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