Objective 9.2
Core Certified Power UserIdentify data model attributes
Objective 9.2 sits in Creating Data Models, which carries 10% of the Core Certified Power User exam. The questions below are original, written from the official objective title above, and each explanation cites the Splunk page it rests on.
Objective title verbatim from the official objectives. Splunk exam page ↗
A worked example
Shown solved, with the whole explanation open: this is what every question here carries.
An analyst asks which knowledge object types go into building a typical data model. Which does Splunk list?
Correct.
Checked against help.splunk.com, August 2026Concept
A model is assembled out of the objects that already describe the data rather than invented from nothing. That is why building one usually starts by taking stock of what has already been defined.
Why C
Splunk states that in building a typical data model, knowledge managers use knowledge object types such as lookups, transactions, search-time field extractions and calculated fields.
Source
Splunk Docs: About data models, checked August 2026In building a typical data model, knowledge managers use knowledge object types such as lookups , transactions , search-time field extractions , and calculated fields .
Now you: objective 9.2 questions
No account needed. The explanation opens when you answer.
Sample question 1 of 3
An engineer asks how many types of data model dataset field Splunk documents. How many are there?
Sample question 2 of 3
A team wants to add an auto-extracted field to a child dataset. What does Splunk say?
Sample question 3 of 3
An analyst asks where dataset fields can come from besides the events themselves. What does Splunk name?
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Read the sources
These are the official pages the questions above cite. Reading them is studying the objective from the primary source, which is what the explanations point you toward anyway.