Define Long Tail Analysis, Outlier Detection, and Some Common Steps of Hypothesis Hunting with Splunk. SPLK-5001 Practice Questions (Page 5)

Questions 21–25

1. 21foundation · easy

   In cybersecurity data analysis, what does the term 'long tail' refer to?

   • AA distribution where rare events are removed to focus on the most frequent ones
   • BA distribution where all events occur with roughly equal frequency
   • CA distribution where the most common event is at the end of the timeline
   • DA distribution where a few events account for the majority of occurrences, and many events are rare
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2. 22application · medium

   A Splunk analyst is monitoring the number of bytes transferred per user per day. The analyst wants to identify users whose daily transfer volume is significantly higher than their own historical pattern. Which Splunk command would be most useful for this task?

   • A`top`
   • B`sort`
   • C`rare`
   • D`outlier`
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4. 23foundation · easy

   What is the primary purpose of performing long tail analysis on cybersecurity data?

   • ATo identify rare events that might indicate a security threat
   • BTo focus only on the most common events for efficiency
   • CTo reduce the volume of data stored in the index
   • DTo ensure all events are equally monitored
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5. 24foundation · easy

   What is the purpose of the 'validate findings' step in hypothesis hunting?

   • ATo automatically block the identified threat
   • BTo confirm that the evidence supports or refutes the hypothesis
   • CTo collect additional data from multiple sources
   • DTo create a visual dashboard of the results
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6. 25expert · hard

   A Splunk analyst is conducting a hypothesis hunt for 'credential dumping via LSASS.' The analyst has collected Security event logs and Sysmon logs. The initial analysis shows several instances of LSASS access, but the analyst is concerned about false positives because some legitimate applications also access LSASS. Which step of the hypothesis hunting process is most critical to address this concern?

   • ARemediation by immediately blocking LSASS access for all processes
   • BData collection by gathering more LSASS access events from additional endpoints
   • CHypothesis formation by rephrasing the hypothesis to exclude legitimate applications
   • DValidation by correlating LSASS access events with other indicators, such as the presence of Mimikatz or unusual process parent-child relationships
   Reveal Solution Discussion Select an answer first