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What distinguishes an enterprise feasibility spike from a standard machine learning benchmark in forward deployed engineering?
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intermediate 45 min
Day 12: Test Feasibility Against Customer Evidence
Test Feasibility Against Customer Evidence
Based on Anthropic Claude documentation and the CCA-F exam blueprint. Updated August 2026.
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Consider the record inspection logic from the Northstar feasibility runner. What failure state does this function catch before computing event freshness?
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Northstar's feasibility spike on 200 historical carrier records yields: 98% schema completeness, 94% event code mapping, but only 64% freshness within the 15-minute operational limit (the target was 90%). What is the correct engineering decision for the FDE team?
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