This question evaluates a data scientist's competency in designing ML-driven real-time decision systems, covering feature engineering, predictive modeling for supply–demand imbalance, budgeted ranking for notifications, and operational constraints like per-driver throttling; it is categorized under Machine Learning for a Data Scientist role.
You are building a real-time system for a ride-hailing platform. When an airport experiences a surge (passenger demand exceeds available drivers), the system should decide:
Assume you have real-time telemetry for drivers, trips, and demand forecasts, and you can send push notifications with per-driver throttling.
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