In the context of Spark Structured Streaming, event-time processing is a critical feature for handling real-time data streams. Consider a scenario where a financial institution is monitoring transactions across multiple time zones. The transactions are recorded with their respective event times, but due to network latency, they arrive at the processing system out of order. The institution needs to accurately calculate daily transaction totals based on the event time, not the arrival time. Given this scenario, which of the following statements best describes the concept of event-time processing and its application in Spark Structured Streaming? Choose the single best option.