New pivots automatically populate with ______?

The correct answer is that new pivots automatically populate with a time range filter. When you create a new pivot in Splunk, it starts by applying a default time range to the data it displays. This is because time is a crucial dimension in data analysis, particularly in environments where data is collected over time. The time range filter allows users to narrow down the data they are analyzing to a specific period, ensuring that the insights derived from the pivot are relevant to the context of that timeframe.

Having a time range filter applied by default helps users quickly initiate their analysis without having to set this up manually every time they create a new pivot. It streamlines the process and aligns well with the common necessity of analyzing trends, patterns, or anomalies over distinct time periods.

Other options, while related to data visualization in Splunk, do not reflect the automatic features applied when a new pivot is created. For example, split rows or split columns pertain to the configuration of how data is organized in the pivot, and while count of hosts would be a potential metric analyzed, it is not a default setting for new pivots.