Define Long Tail Analysis, Outlier Detection, and Some Common Steps of Hypothesis Hunting with Splunk. SPLK-5001 Practice Questions (Page 1)

Questions 1–5

1. 1foundation · easy

   What is the primary goal of hypothesis hunting in cybersecurity?

   • ATo reactively investigate alerts generated by security information and event management (SIEM) systems
   • BTo replace traditional security controls such as firewalls and antivirus software
   • CTo automate the entire threat detection process without human involvement
   • DTo proactively search for threats that may not be detected by automated security tools
   Reveal Solution Discussion Select an answer first
2. 2foundation · easy

   Which of the following lists the common steps of hypothesis hunting in the correct order?

   • ACollect data, form a hypothesis, validate findings, analyze data
   • BValidate findings, form a hypothesis, collect data, analyze data
   • CForm a hypothesis, collect data, analyze data, validate findings
   • DAnalyze data, form a hypothesis, collect data, validate findings
   Reveal Solution Discussion Select an answer first
4. 3foundation · easy

   How is outlier detection typically used in cybersecurity monitoring?

   • ATo detect potential security incidents by flagging behavior that falls outside the established baseline
   • BTo automatically block all network traffic that is not considered normal
   • CTo ensure that all data points are within a predefined range of acceptable values
   • DTo replace the need for any other security monitoring techniques
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5. 4expert · hard

   A Splunk analyst is investigating a potential data breach and wants to identify any files that were accessed in a way that deviates from normal patterns. The analyst has a list of all file access events for the past year. The analyst wants to find files that are rarely accessed (long tail) but that have had an unusually high number of access events in the last week (outlier). Which Splunk search strategy is most efficient and accurate?

   • AUse `eventstats` to compute the average access count per file over the past year, then use `outlier` on the last week's access counts
   • BUse `rare` on all file access events to find the least accessed files, then manually review each for recent activity
   • CFirst filter for files with a low total access count over the past year, then use `outlier` on the access counts for the last week to flag files with unusually high recent activity
   • DUse `top` to find the most accessed files and then check if any have recent access
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6. 5expert · hard · select all that apply

   A threat hunting team is planning a proactive hunt for 'data exfiltration via DNS tunneling.' The team has access to DNS logs, proxy logs, and endpoint logs. Select all of the following that are appropriate steps in the hypothesis hunting process for this scenario.

   • ADocument the findings and share them with the incident response team if the hypothesis is confirmed
   • BValidate any findings by correlating DNS anomalies with endpoint processes that generate DNS queries
   • CFormulate a hypothesis that DNS tunneling is being used to exfiltrate data
   • DImmediately block all DNS traffic to external servers
   • ECollect DNS logs and analyze them for unusual query patterns, such as long subdomains or high query volumes
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