Which scenario best illustrates batch processing?

Which scenario best illustrates batch processing?

• A. End-of-day financial closing.
• B. Fraud detection on transactions as they occur.
• C. Real-time weather updates.
• D. Live stock ticker updates.

Answer: (B)

Batch processing gathers data over a period and then processes it all at once in a single run at a scheduled time. End-of-day financial closing fits this pattern perfectly: the day’s transactions are collected, and only after the day ends are they processed together to produce summaries, reconciliations, and balances. This approach is efficient for handling large volumes because it minimizes the overhead of continuous processing and doesn’t require immediate results. In contrast, the other scenarios are typically real-time or near real-time. Fraud detection on transactions as they occur needs instant analysis to stop or flag suspicious activity right away. Real-time weather updates and live stock ticker updates also require continuous, immediate processing to reflect current conditions or prices.

Batch processing gathers data over a period and then processes it all at once in a single run at a scheduled time. End-of-day financial closing fits this pattern perfectly: the day’s transactions are collected, and only after the day ends are they processed together to produce summaries, reconciliations, and balances. This approach is efficient for handling large volumes because it minimizes the overhead of continuous processing and doesn’t require immediate results.

In contrast, the other scenarios are typically real-time or near real-time. Fraud detection on transactions as they occur needs instant analysis to stop or flag suspicious activity right away. Real-time weather updates and live stock ticker updates also require continuous, immediate processing to reflect current conditions or prices.