Which type of data can change frequently due to real-time updates?

The correct response identifies "Latest Data" as the type that can change frequently due to real-time updates. This reflects the nature of data management in systems like the AVEVA Historian Server, which is designed to capture and store real-time information from various sources.

Latest Data comprises the most current entries that may change with each new measurement or event. For instance, in a manufacturing plant, sensor readings like temperature or pressure are continuously refreshed to reflect the live state of operations. The system is often configured to update this set of data as new information is received, allowing operators to monitor and respond to changes instantaneously.

In contrast, other types of data, such as Original Data, Revision Data, and Archived Data, have different characteristics. Original Data typically refers to the initial measurements or entries that are recorded at the time of an event. Revision Data incorporates adjustments or updates to Original Data, but this does not necessarily imply that the revisions happen as frequently as the latest updates. Archived Data represents historical records that are stored for future analysis and reference, reflecting past states rather than actively changing with real-time inputs.

Therefore, the volatility and immediacy of Latest Data make it the correct answer in the context of data that undergoes frequent changes due to real