a. Batch Processing is an example of an offline data processing technique. It involves collecting data over a period and then processing it all at once in a batch.

Characteristics of Batch Processing:

1. Time Delayed Processing: Data is collected and processed later, not immediately when the transaction occurs.
2. High Volume: Suitable for large volumes of repetitive data, such as payroll and billing systems.
3. Scheduled Processing: Typically performed at scheduled times (e.g., at night or weekly) to optimize system resources.
4. Minimal User Interaction: Requires little to no user interaction during the process, as the data is processed in bulk.
5. Cost-Effective: Ideal for handling routine tasks where real-time processing is not required, thus reducing costs.

b.
i. Online Processing refers to the immediate processing of data as it is entered into the system. This method processes transactions in real-time, providing instant feedback to the user.

ii. Examples of Online Processing Techniques:

1. Real-Time Processing:
   • Immediate Response: Data is processed instantly as it is entered, providing users with immediate results.
   • Critical Applications: Common in time-sensitive operations like air traffic control or banking, where real-time decisions are crucial.
2. Time-Sharing Processing:
   • Multiple Users: Allows multiple users to share the computing resources simultaneously by allocating a time slice to each user.
   • Interactive: Users can interact with the system in real-time during their allocated time slots.