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Security OperationsmediumMultiple ChoiceObjective-mapped

CAS-004 Security Operations Practice Question

A security operations center (SOC) analyst receives an alert from the SIEM indicating a user has logged into the corporate VPN from an unusual geographic location at 3 AM, which is outside the user's normal working hours. The user has not previously exhibited this behavior. Which advanced SIEM capability is most likely responsible for generating this alert?

Answer choices

Why each option matters

Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.

Correct answer & explanation

User Behavior Analytics (UBA)

User Behavior Analytics (UBA) uses machine learning to establish a baseline of normal user activity and detect anomalies such as unusual login times and locations. This is a core feature of advanced SIEM platforms.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • User Behavior Analytics (UBA)

    Why this is correct

    UBA detects deviations from baseline behavior.

  • Correlation rule based on static thresholds

    Why it's wrong here

    Static thresholds would flag any login at 3 AM, but UBA considers context like user history.

  • Signature-based detection

    Why it's wrong here

    Signature-based detection relies on known IOCs, not behavioral anomalies.

  • Threat intelligence feed correlation

    Why it's wrong here

    Threat feeds would check the IP against known malicious sources, not user behavior.

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JA

Written by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

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