Data model fields can be added using the Auto-Extracted method.
Which of the following statements describe Auto-Extracted fields? (select all that apply)
A . Auto-Extracted fields can be hidden in Pivot.
B . Auto-Extracted fields can have their data type changed.
C . Auto-Extracted fields can be given a friendly name for use in Pivot.
D . Auto-Extracted fields can be added if they already exist in the dataset with constraints.
Answer: ABCD
Explanation:
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.
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