What are two characteristics of real-time data processing? (DP-900)

Correct answer: B. Low latency is expected and D. Data is processed as it is created.
Real-time data processing is characterized by the following two key characteristics:
B. Low latency is expected:
In real-time data processing, the data needs to be processed and made available to the end-users or applications as quickly as possible, often within milliseconds or seconds. Low latency is a critical requirement for real-time systems, as the value of the data diminishes rapidly if it is not processed and delivered in a timely manner.

D. Data is processed as it is created:
Real-time data processing involves processing data as it is generated, rather than in batches or at periodic intervals. The data is processed immediately, without any delays, to ensure that the information is available and actionable as soon as possible.

The other options are not characteristics of real-time data processing:
A. Data is processed periodically:
This is not a characteristic of real-time data processing, as real-time systems process data as it is created, not at periodic intervals.
C. High latency is acceptable:
This is the opposite of what is expected in real-time data processing, where low latency is a critical requirement.