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Anthropic Claude Certified Architect – Foundations CCAR-F Question # 19 Topic 2 Discussion

Anthropic Claude Certified Architect – Foundations CCAR-F Question # 19 Topic 2 Discussion

CCAR-F Exam Topic 2 Question 19 Discussion:
Question #: 19
Topic #: 2

You are building a multi-agent research system using the Claude Agent SDK. A coordinator agent delegates to specialized subagents: one searches the web, one analyzes documents, one synthesizes findings, and one generates reports. The system researches topics and produces comprehensive, cited reports.

Production reviews reveal inconsistent handling of uncertainty in final reports. Sometimes conflicting subagent findings are synthesized into a single confident statement, losing important nuance, while other reports use excessive qualifications and become unhelpful. The web-search agent returns, “Industry analysts estimate a $50 billion market size, although methodologies vary.” The document-analysis agent returns, “A peer-reviewed study estimates $35 billion, with a ±$7 billion 95% confidence interval.” The coordinator either selects one estimate arbitrarily or produces a vague $35–$50 billion range.

What systematic approach best addresses this?


A.

Implement a confidence-calibration layer that normalizes subagent uncertainty expressions to probability scores between 0.0 and 1.0, and then calculate a confidence-weighted average.


B.

Configure subagents to report only findings meeting a high-confidence threshold, filtering uncertain information before it reaches the coordinator.


C.

Add a verification subagent that passes claims to synthesis only when they are corroborated by at least two independent sources.


D.

Instruct the synthesis agent to distinguish well-established findings from contested findings explicitly, preserving each source’s original uncertainty, methodology, and supporting evidence.


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