Data model fields are fields that describe the attributes of a dataset in a data model2. Data model fields can be
added using various methods such as Auto-Extracted, Evaluated or Lookup2. Auto-Extracted fields are fields
that are automatically extracted from your raw data using various techniques such as regular expressions,
delimiters or key-value pairs2. Auto-Extracted fields can be hidden in Pivot, which means that you can choose
whether to display them or not in the Pivot interface2. Therefore, option A is correct. Auto-Extracted fields
can have their data type changed, which means that you can specify whether they are strings, numbers,
booleans or timestamps2. Therefore, option B is correct. Auto-Extracted fields can be given a friendly name
for use in Pivot, which means that you can assign an alternative name to them that is more descriptive or
user-friendly than the original field name2. Therefore, option C is correct. Auto-Extracted fields can be added
if they already exist in the dataset with constraints, which means that you can include them in your data model
even if they are already extracted from your raw data by applying filters or constraints to limit the scope of
your dataset2. Therefore, option D is correct.