Explanation:
In a fraud detection system that analyzes transaction data in real-time, it is important to handle out-of-order events to ensure accurate fraud detection. Watermarking should be implemented to allow for a certain degree of data latency and handle out-of-order events effectively. By configuring the solution to handle out-of-order events in real-time, the system can maintain high performance and accurately detect suspicious activities without being affected by the arrival order of the transaction data.
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You are developing a stream processing solution for a fraud detection system in a financial institution. The system needs to analyze transaction data in real-time and detect suspicious activities. How would you configure the solution to handle out-of-order events and ensure accurate fraud detection?
A
Disable any handling of out-of-order events and process the data as it arrives, assuming it is in the correct order.
B
Use a batch processing approach to process the data in large batches, allowing for some flexibility in handling out-of-order events.
C
Implement watermarking and allow for a certain degree of data latency to handle out-of-order events, but do not consider the real-time requirements of the fraud detection system.
D
Implement watermarking and configure the solution to handle out-of-order events in real-time, ensuring accurate fraud detection without compromising the system's performance.