Q: 2
What is the relationship between data models and pivots?
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Discussion
Hard to say, D here. I was thinking pivots let users build reports and select fields, so in a way, they're creating the dataset that's visualized, right? It feels like the pivot defines what data is seen from the model. Not 100 percent sure though, since sometimes Splunk's naming gets confusing. If anyone knows why that's wrong, let me know.
I went with D since I thought pivots can be used to define what you want from the data, so they sort of build the dataset for you. Not fully sure though, maybe missing something about how models work behind the scenes.
D
A tbh
A, not C, . Had something like this in a mock, data models feed the pivots.
A Data models feed pivots, not the other way. I've seen this on Splunk practice before, pretty sure it's A.
A not D. Pivots use data models not the other way, D trips people up on Splunk exams.
Don't think it's D, that's switching the direction. A is right, data models feed pivots. D always trips people up on these.
A tbh, since data models are basically the structured source that pivots tap into. Without the data model, pivot can't build those visuals. Willing to be corrected but that's how I've seen it work.
C/D? Pretty sure it's A, since data models provide the structure and datasets that pivots use to build visualizations. D feels like a trap because it flips the logic around, but I get why someone might pick it. If anyone has seen a case where pivots actually generate datasets for data models let me know, but from what I've read and used A fits best.
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