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Anthropic CCAR-F Exam Syllabus Topics:

Anthropic Claude Certified Architect – Foundations Sample Questions:

1. 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.
A security audit requires updating your authentication library from v2 to v3. The migration guide documents breaking changes: authenticate() now returns a Promise instead of accepting a callback, the User type has restructured fields, and three deprecated methods were removed. Grep shows the library is imported in 45 files across several modules.
What's the most effective approach?

A) Create a custom slash command encapsulating the migration transformations, then execute it against each file without prior codebase exploration.
B) Enter plan mode to explore library usage across modules, map affected code paths, then create a migration strategy before implementing.
C) Update the dependency version, run the test suite, and use Claude Code to fix each failure as it appears.
D) Paste the migration guide's breaking changes into your prompt and use direct execution to update all usages across the 45 files.

2. You are building a customer support resolution agent using the Claude Agent SDK. The agent handles high- ambiguity requests like returns, billing disputes, and account issues. It has access to your backend systems through custom Model Context Protocol (MCP) tools ( get_customer , lookup_order , process_refund , escalate_to_human ). Your target is 80%+ first-contact resolution while knowing when to escalate.
When the agent calls lookup_order and receives order details showing the item was purchased 45 days ago, how does the agentic loop determine whether to call process_refund or escalate_to_human next?

A) The orchestration layer automatically routes to the next tool based on the order's status field.
B) The order details are added to the conversation and the model reasons about which action to take.
C) The agent executes the remaining steps in a tool sequence planned at the start of the request.
D) The agent follows a pre-configured decision tree mapping order attributes to specific tool calls.

3. You are building a structured data extraction system using Claude. The system extracts information from unstructured documents, validates the output using JavaScript Object Notation (JSON) schemas, and maintains high accuracy. It must handle edge cases gracefully and integrate with downstream systems.
Your extraction pipeline validates outputs against JSON schemas, but you need to implement human review given limited reviewer capacity (they can handle approximately 5% of total extraction volume).
What's the most effective basis for selecting which extractions to route for human review?

A) Route extractions containing specific high-priority entity types (e.g., financial figures, dates) for human review, regardless of extraction confidence.
B) Route extractions where the model indicates low confidence or where source documents contain ambiguous or contradictory information.
C) Randomly sample 5% of extractions for review.
D) Route extractions for review only when downstream systems report data quality issues or processing failures.

4. You are building a structured data extraction system using Claude. The system extracts information from unstructured documents, validates the output using JavaScript Object Notation (JSON) schemas, and maintains high accuracy. It must handle edge cases gracefully and integrate with downstream systems.
The system needs to extract candidate information (name, contact details, skills, work experience, education) from uploaded resumes. The extracted data must strictly conform to a predefined JSON schema, as missing required fields or incorrect data types will cause downstream validation failures.
What is the most reliable approach to ensure Claude's output consistently matches the schema?

A) Parse Claude's text response with regex patterns to extract JSON objects, using retry logic for malformed responses.
B) Include detailed JSON formatting instructions and a template example in the system prompt, asking Claude to output only valid JSON.
C) Define a tool with an input schema matching your required JSON structure and extract the data from Claude's tool_use response.
D) Make two separate API calls-first extracting information as text, then asking Claude to format that text as JSON.

5. 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 .claude/skills/migrate-component/SKILL.md at the project root, committed to version control.
B) In ~/.claude/skills/migrate-component/SKILL.md on each developer's machine.
C) In the project's .claude/settings.json using a skillOverrides entry to register and define the workflow.
D) As a detailed instruction block in the project's root CLAUDE.md file.

Solutions: