Describe How AI Is Used in the Security App ELASTIC-CERTIFIED-SIEM-ANALYST Practice Questions (Page 6)

Questions 26–30

1. 26expert · hard

   During a complex investigation, an analyst uses AI-assisted investigation in the Elastic Security App to summarize findings. The analyst notices that the AI summary omits a critical piece of evidence that the analyst found manually. What should the analyst do to ensure the investigation is thorough?

   • ADiscard the AI summary and conduct the entire investigation manually.
   • BReport the AI as faulty and disable all AI features.
   • CRely on the AI summary as the authoritative source and proceed with the recommended next steps.
   • DCross-check the AI summary against the raw data and incorporate the missing evidence into the investigation.
   Reveal Solution Discussion Select an answer first
2. 27foundation · easy

   How does AI assist analysts during security investigations in the Elastic Security App?

   • ABy generating final incident reports without analyst review
   • BBy automatically resolving incidents without analyst input
   • CBy providing summaries of findings and suggesting next steps
   • DBy deleting irrelevant logs to simplify the investigation
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4. 28application · medium

   An analyst wants to use natural language processing in the Elastic Security App to ask a question about a specific alert. The analyst types, 'What is the risk score for alert 1234?' What will the AI feature do with this query?

   • AIt will ignore the query because it is not a valid command.
   • BIt will interpret the query and return the risk score for the specified alert.
   • CIt will open a new browser tab to search for the alert.
   • DIt will require the analyst to use a specific query syntax.
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5. 29expert · hard

   A SOC manager is evaluating the AI features in the Elastic Security App to justify the investment to leadership. The manager needs to present a balanced view that highlights the benefits while acknowledging the limitations. Which statement best represents this balanced perspective?

   • AAI features can significantly enhance detection and investigation, but they require human oversight and may produce false positives.
   • BAI features are fully reliable and require no human intervention.
   • CAI features are only useful for large enterprises with dedicated data science teams.
   • DAI features are too risky to use and should be avoided.
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6. 30expert · hard

   A SOC team is implementing AI-powered alert triage in the Elastic Security App to reduce alert fatigue. After enabling the feature, they notice that some high-severity alerts are being deprioritized because the AI model is grouping them with lower-severity alerts. What is the most effective way to address this issue?

   • AAdjust the AI model configuration to better distinguish between high and low severity alerts.
   • BIncrease the severity threshold for all alerts to prevent deprioritization.
   • CDisable AI-powered alert triage and manually review all alerts.
   • DIgnore the deprioritized alerts and focus on the ones ranked highest.
   Reveal Solution Discussion Select an answer first