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Anthropic CCAR-F valid exam - in .pdf Free Demo

  • Exam Code: CCAR-F
  • Exam Name: Claude Certified Architect – Foundations
  • Last Updated: Jul 15, 2026
  • Q & A: 62 Questions and Answers
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  • Exam Code: CCAR-F
  • Exam Name: Claude Certified Architect – Foundations
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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) Use @ references to include the three modules directly in your prompt, giving Claude concrete code examples of the patterns to follow.
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) Ask Claude to explore your codebase to find and understand the transaction, error handling, and logging patterns before generating the new module.


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) As a detailed instruction block in the project's root CLAUDE.md file.
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) In .claude/skills/migrate-component/SKILL.md at the project root, committed to version control.


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 asks your agent to identify untested code paths in a legacy payment processing module spanning
45 files. After reading the first 8 source files, the agent's responses are becoming noticeably less accurate-it' s forgetting previously discussed code patterns and hasn't yet located all test files or traced critical payment flows.
What's the most effective approach to complete this investigation?

A) Clear context with /clear , then selectively re-read only the most critical files discovered so far, writing key findings to a scratchpad file that persists between context resets.
B) Document all current findings in a summary report, clear context completely, then use that report as the sole reference for continuing the investigation.
C) Switch to using Grep to search for specific function names instead of reading full files, reducing the content loaded into context for remaining exploration.
D) Spawn subagents to investigate specific questions (e.g., "find all test files for payment processing,"
"trace refund flow dependencies") while the main agent coordinates findings and preserves high-level understanding.


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.
Your system must extract event details from calendar invitations and output JSON that strictly conforms to a schema with fields for title, date, time, location, and attendees. Downstream systems reject any malformed or non-conformant JSON.
What approach provides the most reliable schema compliance?

A) Include detailed JSON formatting instructions and the target schema in your prompt, then parse Claude' s text response as JSON.
B) Pre-fill Claude's response with an opening brace to force JSON output, then complete and parse the response.
C) Define a tool with your target schema as input parameters and have Claude call it with the extracted data.
D) Append instructions like "Output only valid JSON matching the schema exactly" and implement retry logic to re-prompt when JSON parsing fails.


5. 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 system has been operating with 100% human review for 3 months. Analysis shows that extractions with model confidence #90% have 97% accuracy overall. To reduce reviewer workload, you plan to automate high- confidence extractions.
Before deploying, what validation step is most critical?

A) Run a two-week pilot routing 25% of high-confidence extractions directly to downstream systems and monitor error reports.
B) Analyze accuracy by document type and field to verify high-confidence extractions perform consistently across all segments, not just in aggregate.
C) Compare accuracy at different confidence thresholds (85%, 90%, 95%) to find the optimal cutoff that maximizes automation while minimizing errors.
D) Verify that 97% accuracy meets requirements for all downstream systems that consume the extracted data.


Solutions:

Question # 1
Answer: A
Question # 2
Answer: D
Question # 3
Answer: D
Question # 4
Answer: C
Question # 5
Answer: B

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