Reference:
A pivot is a tool that allows you to create reports and dashboards using data models without writing any SPL commands2. You can use pivots to explore, filter, split and visualize your data using a graphical interface2. Pivots are designed for users who want to analyze and report on their data without having to learn the SPL syntax or the underlying structure of the data2. Therefore, option A is correct, while options B, C and D are incorrect because they are not the typical group of users who would use pivots.

As mentioned before, a calculated field is a field that you create based on the value of another field or
fields2. A calculated field can be based on extracted fields, which are fields that are extracted from your raw
data using various methods such as regular expressions, delimiters or key-value pairs2. Therefore, option B is
correct, while options A, C and D are incorrect because they are not types of fields that a calculated field can
be based on.

The fillnull command replaces null values in one or more fields with a specified value. The values option
allows you to specify a comma-separated list of values to fill the null values in the corresponding fields. The
fields option allows you to specify a comma-separated list of fields to apply the fillnull command to. The eval
statement in the question uses the if and isnull functions to check if field1 and field2 have null values and
replace them with 0 and "NO-VALUE" respectively. The equivalent expression using fillnull is to use the
values option to specify 0 and "NO-VALUE" and the fields option to specify field1 and field22
1: Splunk Core Certified Power User Track, page 9. 2: Splunk Documentation, fillnull command.

Explanation/Reference: https://docs.splunk.com/Splexicon:Datamodeldataset