Normalize your data for each of these fields using a combination of field aliases, field extractions, and lookups.
https://docs.splunk.com/Documentation/CIM/4.15.0/User/UsetheCIMtonormalizedataatsearchtime

Reference: https://docs.splunk.com/Documentation/PCI/4.1.0/Install/PrivilegedUserActivity A tag is a descriptive label that you can apply to one or more fields or field values in your events1. You can use tags to simplify your searches by replacing long or complex field names or values with short and simple tags1. To search for events that contain a tag name, you can use the tag keyword followed by an equal sign and the tag name1. You can also use wildcards (*) to match partial tag names1. Therefore, option B is correct because it will return events that contain a tag name that starts with Pri. Options A and D are incorrect because they will only return events that contain an exact tag name match. Option C is incorrect because it will return events that contain a tag name that starts with Priv, not Privileged.

A calculated field in Splunk is designed to automatically add fields at search time using an eval expression.
This feature allows users to define new fields based on existing data without needing to manually include an eval command in every search. Calculated fields simplify repeated search tasks by embedding the eval logic directly into the field configuration.
References:
* Splunk Docs: Calculated fields
* Splunk Answers: Purpose of calculated fields

The correct answer is C. Product, count: addtocart, count: remove, count: purchase, sum: addtocart, sum:
remove, sum: purchase1.
In Splunk, the chart command is used to create a table or a chart visualization from your data2. The chart command takes at least one function and one field, and optionally another field to group by2.
In the given search, the chart command is used with two functions (count and sum), two fields (domain and price), and two fields to group by (product and action). The usenull=f and useother=f options are used to exclude null values and other values from the chart2.
The chart command creates a table with headers that match the order of the fields and functions in the command1. The headers for the count function are prefixed with count:, and the headers for the sum function are prefixed with sum:1. The values of the product and action fields are used as the suffixes for the headers1.
Therefore, the table headers created by this command are Product, count: addtocart, count: remove, count:
purchase, sum: addtocart, sum: remove, and sum: purchase1.