What type of values can 'lookup tables' contain in Splunk?

Lookup tables in Splunk are versatile tools that allow users to perform transformations and enrich data by providing additional contextual information. They can contain static or dynamic data that aligns with indexed fields, making them highly useful in different analysis scenarios.

Static data refers to the information that doesn’t change frequently, such as country codes or department names, which can enhance searches by providing additional context for indexed data. Dynamic data may include constantly changing datasets, like user access information or product details, which can be updated as needed to reflect real-time changes in data.

This capability to match against indexed fields allows lookups to enrich search results, facilitate data correlation, and improve reporting by including additional dimensions of data that are not captured in the raw event logs or indexed data.

While the other options imply limitations that do not accurately reflect the functionality of lookup tables, the correct understanding is that they can handle a wide array of data types, offering flexibility and power in data analysis within Splunk.