Exam CCAR-F Topic 1 Question 72 Discussion

Actual exam question for Anthropic's CCAR-F exam
Question #: 72
Topic #: 1

You are building a structured data-extraction system using Claude. The system extracts information from unstructured documents, validates output against JSON schemas, and integrates the results with downstream systems.
Monitoring reveals that specifications sometimes appear inconsistently within source documents.
For example, a summary section might state "Battery: 4000 mAh," while the detailed specifications table states "Battery: 4200 mAh." Your current schema contains a single battery_capacity field.
This inconsistency occurs in approximately 15% of documents, and historical analysis confirms that the detailed specifications table is accurate 90% of the time.
What is the most effective approach?

A. Change the field to an array that captures every discovered value and its source location, leaving downstream systems to apply precedence rules. B. Reject every extraction containing conflicting values and require the source document to be corrected before processing continues. C. Add extraction instructions specifying that values from the detailed specifications table take precedence when conflicting values exist, while retaining the single-value schema. D. Add a conflict_detected Boolean field and route every affected document for manual review.

Suggested Answer: C Vote an answer

Option C converts an empirically validated source hierarchy into an explicit extraction rule. The downstream contract requires one battery_capacity value, and historical analysis establishes that the detailed specifications table is substantially more reliable than the summary section. Claude should therefore be instructed to inspect all occurrences, detect conflicts, and select the detailed- table value when the two locations disagree.
Anthropic's prompting guidance emphasizes clear, direct instructions, relevant context, and explicit decision rules when order or completeness matters. Providing the reason for the precedence rule also helps the model generalize it to comparable specification conflicts.

by Blithe at Oct 23, 2026, 08:28 AM

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