Splunk Core Certified User Practice Exam

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Pivots allow users to visualize heatmaps and graphs based on what kind of searches?

Only transforming searches
Only non-transforming searches
Both transforming and non-transforming searches
Only scheduled searches

The correct answer is: Both transforming and non-transforming searches

Pivots in Splunk are designed to provide users with a user-friendly interface to visualize data without needing to construct complex searches manually. They allow users to generate visual representations of data, such as charts and heatmaps, based on the type of data available in the events indexed by Splunk. Transforming searches return a different dataset compared to the original events, such as aggregating or summarizing the data, which is essential for visualizations. For instance, when creating a heatmap, the search may need to calculate averages or counts based on certain criteria, which is characteristic of transforming searches. On the other hand, non-transforming searches return the original events but can also be utilized in pivots if they provide context or raw data that can enhance the visual output. As pivots can leverage both types of searches—transforming to summarize data and non-transforming to provide detailed records—they can effectively visualize a wide range of datasets. This flexibility is what makes the option encompassing both transforming and non-transforming searches the correct choice.