Which technique specifically addresses severe class imbalance during training? (scenario 24)

The correct answer is: Resampling, class weights, or threshold tuning informed by precision-recall tradeoffs. This matches standard ML/AI engineering practice for Domain 2: Evaluation. Distractors confuse adjacent concepts or unsafe operational shortcuts. In production, validate with held-out data, monitoring, and governance appropriate to risk.