SPLK-1002 · Question #124
A data model can consist of what three types of datasets?
The correct answer is D. Events, searches, and transactions. Splunk data models are built from three types of datasets: events, searches, and transactions. Each type defines how raw data is constrained and grouped within the data model.
Question
A data model can consist of what three types of datasets?
Options
- APivot, searches, and events.
- BPivot, events, and transactions.
- CSearches, transactions, and pivot.
- DEvents, searches, and transactions.
How the community answered
(35 responses)- A6% (2)
- C3% (1)
- D91% (32)
Why each option
Splunk data models are built from three types of datasets: events, searches, and transactions. Each type defines how raw data is constrained and grouped within the data model.
Pivot is a reporting interface that uses data models but is not itself a dataset type within a data model.
Pivot is not a dataset type; combining pivot with events and transactions is incorrect because pivot is a separate UI feature.
Searches and transactions are valid dataset types, but pivot is not a dataset type - this combination is therefore incorrect.
A Splunk data model can contain event datasets (which constrain events by search criteria), search datasets (which define child nodes using additional search constraints), and transaction datasets (which group related events using the transaction command logic). These three types together allow data models to represent a wide variety of structured data relationships for use in pivot and accelerated searches.
Concept tested: data model dataset types: events, searches, transactions
Source: https://docs.splunk.com/Documentation/Splunk/latest/Knowledge/Aboutdatamodels
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