Give Examples of Splunk Best Practices for Composing Efficient Searches. SPLK-5001 Practice Questions (Page 3)

Questions 11–15

1. 11expert · hard

   An analyst is troubleshooting a slow search. The Job Inspector shows that the search is spending a significant amount of time in the 'Search' phase and very little time in the 'Aggregation' phase. The search is: index=* sourcetype=* | stats count by user. What is the most likely cause of the bottleneck?

   • AThe search is running in verbose mode, which is slowing it down.
   • BThe time range is too large, causing the search to scan too much data.
   • CThe stats command is inefficient and should be replaced with a different command.
   • DThe search is scanning too much data because it is not using an index filter or a specific sourcetype.
   Reveal Solution Discussion Select an answer first
2. 12expert · hard

   An analyst needs to create a search that returns a list of events with all fields for a specific user, but the search is running slowly. The analyst has already filtered by index and time range. What is the best way to improve the search performance without losing the required data?

   • AUse the table command to display only the fields needed.
   • BUse the fields command to limit the fields returned to only those needed.
   • CIncrease the time range to ensure all events are included.
   • DSwitch to fast mode to reduce the amount of data returned.
   Reveal Solution Discussion Select an answer first
4. 13foundation · easy

   What is the purpose of the tstats command in Splunk?

   • ATo create a summary index
   • BTo extract new fields from raw events
   • CTo run statistical searches against accelerated data models
   • DTo filter events by time range
   Reveal Solution Discussion Select an answer first
5. 14foundation · easy

   Which search mode is most appropriate when you only need to count events and do not need to see individual events?

   • APreview
   • BVerbose
   • CSmart
   • DFast
   Reveal Solution Discussion Select an answer first
6. 15foundation · easy

   Why is it beneficial to use field-value pairs before a transforming command like stats?

   • AIt reduces the number of events that the stats command must process
   • BIt ensures the stats command runs in fast mode
   • CIt increases the number of fields extracted by stats
   • DIt eliminates the need for a time range
   Reveal Solution Discussion Select an answer first