Deep explanation
Debug an unsupervised clustering regression in a multi-tenant support platform
Junior scenario: a release makes one clustering job mix support tickets from different tenants.
Quick answer
I would not retrain the reply model. I would check whether clustering is now one shared job across tenants. I would take a few tickets from tenant A and tenant B, see if they land in the same cluster when they did not before the release, and restore the per-tenant fit or the tenant filter the release removed.
The interview question
After a release, a multi-tenant support platform's suggested replies get worse. The platform groups tickets with unsupervised clustering and shows agents the nearest past tickets. Latency is unchanged. Agents say a tenant A ticket is now matched to a past ticket from tenant B. How would you isolate that and fix it without retraining the reply model or breaking the tenant boundary?
Deep explanation
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AI FundamentalsLearning ParadigmsUnsupervised LearningJuniorDebugging