Anthropic CCAR-F real exam prep : Claude Certified Architect - Foundations

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Anthropic CCAR-F Exam Syllabus Topics:

Anthropic Claude Certified Architect - Foundations Sample Questions:

Question 1

Your CI pipeline performs security-focused code reviews on approximately 50 pull requests daily, currently costing $150 per day through the synchronous API. Reviews are non-blocking-- developers merge after tests pass and address findings in follow-up commits. You are evaluating the Message Batches API because it offers a 50% cost reduction. What factor most determines whether batch processing is appropriate for this use case?

A. Whether your result-processing system can handle reviews arriving in a different order from the order in which they were submitted.
B. Whether review feedback arriving up to 24 hours after pull-request creation remains actionable.
C. Whether reducing per-review latency from 30?0 seconds to near-instantaneous delivery matters to your workflow.
D. Whether each review can be structured as a single request without multi-turn refinement.

Question 2

An architect needs Claude to produce structured JSON that downstream software can parse automatically. Which prompting strategy is BEST?

A. Ask Claude to "respond normally."
B. Use multiple unrelated examples.
C. Increase maximum output tokens only.
D. Explicitly specify the required JSON schema and formatting rules.

Question 3

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. 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.
C. Create an asynchronous orchestration layer that launches parallel threads, each running a separate coordinator-subagent pair, and then aggregates the results.
D. Add instructions explaining the performance benefits of parallel execution and request that the coordinator invoke both subagents simultaneously.

Question 4

When implementing your lookup_order MCP tool, the backend sometimes returns errors (e.g.,
"Order not found" or temporary database failures). What is the correct pattern for communicating these errors back to the agent?

A. Log the error server-side and return an empty result to avoid confusing the model
B. Return the error message in the tool result content with the isError flag set to true
C. Return a success response with a "status" field indicating the error type
D. Throw an exception from the tool handler so the agent framework can catch and log it

Question 5

Your automated code review is missing genuine bugs in pull requests. Investigation reveals that the review prompt includes this instruction: "Only flag critical issues that would definitely cause production failures. Ignore minor concerns and anything you are uncertain about." Developers confirm that some missed findings are genuine logic errors that the model investigated but chose not to report. The team requires the review output to remain structured, with every finding tagged with metadata, and actionable. Which prompt change both removes the cause of the suppressed findings and preserves structured, tagged output for downstream filtering?

A. Add a second review pass that rereads the diff using the same prompt and looks for anything the first pass may have missed.
B. Instruct the model to report all findings with confidence and severity tags, deferring filtering to a downstream step.
C. Remove all severity-related instructions and allow the model to use its default judgment about which findings to report.
D. Enable extended thinking and instruct the model to reason step by step about every code change before producing its review.

Solutions: