Anthropic CCAR-F Exam : Claude Certified Architect - Foundations

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Anthropic CCAR-F Exam Syllabus Topics:

Anthropic Claude Certified Architect - Foundations Sample Questions:

Question 1

Users report that final reports sometimes lack depth on specific subtopics. Investigation shows that the document-analysis agent frequently identifies evidence gaps--for example, noting that
"the retrieved sources discuss API authentication but lack details about token-refresh patterns." Under the current strict pipeline, this insight is not actionable because searching has already finished. What is the most effective architectural change?

A. Require the analysis agent to return specific evidence gaps to the coordinator, which launches targeted searches and invokes analysis again until the defined coverage criteria are satisfied.
B. Add a research-planning agent before the initial search phase to decompose every topic into detailed subquestions.
C. Have the coordinator look for general gap indicators in the analysis output and run additional searches without repeating the analysis stage.
D. Have the synthesis agent assign confidence scores to each report section and flag insufficiently supported sections for manual review.

Question 2

You are building a structured data extraction system using Claude. The system extracts information from unstructured documents, validates the output using JSON schemas, and maintains high accuracy. It must handle edge cases gracefully and integrate with downstream systems.
After implementing tool use with strict schema definitions, JSON syntax errors are eliminated, but
5% of extractions still contain empty arrays or null values for required fields such as citations and methodology. Spot-checking reveals that the source documents contain this information, but in varied formats--inline citations versus bibliographies, and methodology sections versus details embedded in introductions.
What is the most effective way to address these failures?

A. Implement retry logic that resends requests when validation detects empty required fields.
B. Build a regex-based post-processing layer that scans source documents for citation patterns and methodology keywords, populating empty fields when the model fails to extract them.
C. Modify the schema to make citations and methodology optional, and flag incomplete records for manual review instead of failing validation.
D. Add few-shot examples demonstrating extractions from documents with varied structures, showing how to identify citations in different formats and locate methodology details across section types.

Question 3

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

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

Question 4

Your track_shipment(tracking_id) tool queries an external logistics API that sometimes fails - the API may be temporarily unavailable, the tracking ID may be malformed, or the shipment may not exist. Currently, your tool raises a Python exception when errors occur. Users report the agent gives unhelpful responses like "I'm having trouble with that request" instead of suggesting alternatives such as verifying the tracking number format or checking by order number. How should you handle errors in tool results?

A. Implement retry logic with exponential backoff inside the tool implementation so transient errors are automatically handled and only return a result after all retry attempts are exhausted.
B. Return structured error information as normal tool output including error type, recoverability status, and actionable context for the user.
C. Create dedicated error-recovery tools (retry_tracking_lookup, search_by_order_number) that the model can invoke after the primary tracking tool returns a failure indicator.
D. Return a generic error response (e.g., {"success": false, "error": "lookup_failed"}) for all failure cases to maintain a consistent schema and avoid exposing internal error details.

Question 5

After investigating a billing dispute over 25+ turns, you've identified that duplicate charges occurred due to a payment gateway timeout triggering retry logic. The required refund ($847) exceeds your $500 authorization limit You need to call escalate_to_human, and the human agent won't have access to your conversation transcript. What context should you pass to enable effective resolution?

A. The customer's original complaint verbatim plus the tool result excerpts showing duplicate transactions.
B. Your diagnosis and the refund amount only.
C. The complete conversation transcript with all tool results.
D. A structured summary: customer ID, root cause, refund amount, and recommended action.

Solutions: