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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.
You're implementing a new payment processing module that must follow your project's established patterns for database transactions, error handling, and audit logging. You've identified three existing modules that exemplify these patterns: db_utils.py , error_handlers.py , and audit_logger.py . This is a one-off integration task-these patterns are well-documented in your team wiki and don't need additional project-level documentation.
What's the most effective approach?

A) Ask Claude to explore your codebase to find and understand the transaction, error handling, and logging patterns before generating the new module.
B) Add documentation of each pattern to your CLAUDE.md file, establishing them as project conventions that Claude will apply automatically.
C) Describe the patterns from the three modules in natural language in your prompt, explaining the transaction handling approach, error format, and logging conventions Claude should follow.
D) Use @ references to include the three modules directly in your prompt, giving Claude concrete code examples of the patterns to follow.

2. You are building developer productivity tools using the Claude Agent SDK. The agent helps engineers explore unfamiliar codebases, understand legacy systems, generate boilerplate code, and automate repetitive tasks. It uses the built-in tools (Read, Write, Bash, Grep, Glob) and integrates with Model Context Protocol (MCP) servers.
Your agent has analyzed a complex service module-reading 23 source files, tracing request flows, and identifying error handling patterns. A developer wants to compare two testing strategies before committing to one: end-to-end tests with mocked external services vs. snapshot tests capturing expected outputs. They need to independently develop both approaches to evaluate trade-offs.
How should you manage the sessions?

A) Resume the analysis session with fork_session enabled, creating a separate branch for each testing strategy.
B) Export the analysis session's key findings to a file, then create two new sessions that reference this file.
C) Start two fresh sessions, having each re-read the relevant source files before beginning.
D) Continue in the original session, developing end-to-end tests first, then snapshot tests sequentially.

3. You are building developer productivity tools using the Claude Agent SDK. The agent helps engineers explore unfamiliar codebases, understand legacy systems, generate boilerplate code, and automate repetitive tasks. It uses the built-in tools (Read, Write, Bash, Grep, Glob) and integrates with Model Context Protocol (MCP) servers.
An engineer used Claude Code yesterday to investigate authentication flows in a legacy monolith, building up significant context over a 2-hour session. Today she wants to continue that specific investigation. She's worked on three other codebases since then and knows the session was named "auth-deep-dive".
How should she resume?

A) Use --continue to pick up where the most recent conversation left off
B) Use --session-id with the UUID from yesterday's session transcript file
C) Use --resume auth-deep-dive to load that specific session by name
D) Start fresh and re-read the same files

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.
Monitoring shows 12% of extractions fail Pydantic validation with specific errors like "expected float for quantity, got '2 to 3'". Retrying these requests without modification produces identical failures.
What's the most effective approach to recover from these validation failures?

A) Send a follow-up request including the validation error, asking the model to correct its output.
B) Pre-process source documents to standardize problematic formats before sending them for extraction.
C) Set temperature to 0 to eliminate output variability and ensure consistent formatting.
D) Implement a secondary pipeline using a larger model tier to reprocess documents that fail validation.

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

Solutions: