What action is required when there are 'Exceptions' during the population of a conceptual index?

When there are 'Exceptions' during the population of a conceptual index, it is crucial to understand that these exceptions represent issues that prevent the successful indexing of certain documents. The correct course of action in this context is that the system is designed to automatically retry the indexing of these exceptions. This automated retry mechanism is implemented to ensure that the user does not have to manually intervene in every instance of failure, which enhances efficiency and helps maintain a smooth workflow.

The system's ability to handle exceptions by retrying them reflects a robust design aimed at minimizing disruptions in the indexing process. By automatically attempting to reprocess these exceptions, the system can resolve transient issues that may have caused the initial failure without requiring manual corrections.

In contrast, actions like deleting exceptions, ignoring them, or requiring manual correction are less efficient and could lead to data loss or incomplete indexing, which would not align with best practices for maintaining comprehensive and accurate datasets.