Anthropic CCAR-F : Claude Certified Architect - Foundations

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Anthropic CCAR-F Exam Syllabus Topics:

Anthropic Claude Certified Architect - Foundations Sample Questions:

Question 1

A customer contacts the agent about a warranty claim on a power drill. Resolving this requires multiple sequential tool calls: get_customer to look up their account, lookup_order to find the purchase details, and then either process_refund or escalate_to_human depending on warranty eligibility. You're implementing the agentic loop that orchestrates these steps using the Claude API. What is the primary mechanism your application uses to determine whether to continue the loop or stop?

A. You check the stop_reason field in each API response - the loop continues while it equals
"tool_use" and exits when it changes to "end_turn" or another terminal value.
B. You manually set the tool_choice parameter to "none" after the final expected tool call to force Claude to stop requesting tools.
C. You check whether Claude's response contains a text content block - if text is present, the agent has produced its final answer and the loop should exit.
D. You track the number of tool calls made and exit the loop once a preconfigured maximum is reached.

Question 2

Production monitoring shows that the research phase takes longer than expected. Analysis reveals that the coordinator invokes the web-search subagent, waits for its response, and then invokes the document-analysis subagent. These tasks are independent; neither requires the other's output. How should you modify the system to run these subagents concurrently?

A. Switch both subagents from a Sonnet-tier model to a Haiku-tier model to reduce their individual execution times.
B. Create an asynchronous orchestration layer that launches parallel threads, each running a separate coordinator-subagent pair, and then aggregates the results.
C. Structure the coordinator to emit both Agent tool calls--for web search and document analysis--in a single response message instead of separate conversation turns.
D. Add instructions explaining the performance benefits of parallel execution and request that the coordinator invoke both subagents simultaneously.

Question 3

During a billing dispute resolution, your agent successfully retrieves customer info via get_customer and order details via lookup_order, but when attempting to call process_refund, the tool returns a timeout error. The agent has enough information to explain the charges and verify refund eligibility, but cannot actually process the refund due to the backend failure. What approach best balances first-contact resolution with appropriate error handling?

A. Explain the billing confirm refund eligibility, acknowledge the system issue preventing immediate processing, and offer escalation or retry later
B. Escalate immediately to a human agent since the refund action cannot be completed
C. Implement automatic retries with exponential backoff for process_refund, keeping the conversation open until the refund is successfully processed
D. Confirm the refund will be processed and close the conversation, since the system has all necessary information to complete it automatically

Question 4

You are integrating Claude Code into your Continuous Integration/Continuous Deployment (CI/CD) pipeline. The system runs automated code reviews, generates test cases, and provides feedback on pull requests. You need to design prompts that provide actionable feedback and minimize false positives.
Your test generation produces unit tests for new code, but reviews show that 55% are low-value:
trivial assertions that only verify functions do not throw exceptions, tests duplicating existing coverage, or tests ignoring your team's fixture conventions.
How do you reduce the rate of low-value tests being generated in the first place?

A. Document testing standards in CLAUDE.md, including valuable-test criteria, available fixtures and their intended use cases, and examples distinguishing meaningful behavioral tests from trivial assertions.
B. Implement two-phase generation in which a second Claude call scores each test against quality criteria, filtering out low-scoring tests before presenting results to developers.
C. Restrict test generation to directories where historical quality metrics show higher acceptance rates, disabling it for areas where generated tests consistently require substantial editing.
D. Add post-generation coverage analysis that automatically filters out any generated test that does not increase line coverage beyond existing tests.

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

Solutions: