How are Dynamic Object Sets maintained when new data matches the applied filters?

Dynamic Object Sets are designed to adapt to changes in data in real time, reflecting the latest information that matches the specified filters. When new data is introduced that meets the criteria established in the filters, these sets are automatically updated to incorporate this new data. This characteristic is fundamental to the utility of Dynamic Object Sets, as it enables users to have a current and relevant view of the data without manual intervention.

The automatic updating feature ensures that users can rely on the accuracy and completeness of the sets when performing analyses or deriving insights. This dynamic capability is particularly useful in environments where data is constantly changing or being added, allowing for timely decision-making based on the most current data available. In contrast, other options such as generating new sets, maintaining static sets, or deleting them do not align with the purpose of dynamic data management, which emphasizes real-time responsiveness to data changes.