Which statement best characterizes the behavior of History Blocks?

The correct characterization of History Blocks is that the size of a History Block grows continuously with new data. This reflects the dynamic nature of data collection in systems like the $AVEVA Historian, where History Blocks are essential for storing time-stamped data over time. As new data points are collected, they are appended to the existing History Block, thereby increasing its size.

This continuous growth allows for efficient data handling and retrieval, as the Historian can store large amounts of data without having to create new blocks for each data point. Instead, the History Block accumulates data related to a particular data source or tag, providing a comprehensive historical record that is retrievable for analysis and reporting.

Regarding the other statements, the fixed interval creation of History Blocks would not accurately represent how data logging typically functions in a real-time environment—data is collected as it becomes available rather than at predetermined intervals. The idea that History Blocks remain static until manually updated contradicts their purpose of capturing live data streams, which require constant updating. Lastly, the notion that History Blocks are deleted after reaching specific sizes does not align with standard operational practices, as data retention policies usually dictate archiving or purging practices rather than simply deleting blocks based on their size. This highlights the reliance on consistent