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GIAC AI Security Automation Engineer

Domain 2Objective 2

Azure Cloud Security and Incident Response Automation GASAE Practice Questions (Page 4)

Part of the Cloud Security Automation domain, which makes up ~21% of our current practice bank. GIAC (SANS) does not publish an official question count, but from its 180-minute exam (~70–120 total, ~15–25 in this domain), expect 8–13 from this objective — we provide 42 practice questions to prepare you well beyond it. (estimate)

42questions here
9free pages
10concepts

Questions 16–20

  1. 16application · medium

    A company wants to automatically respond to Azure Monitor alerts that indicate a storage account has been accessed from an unusual location. They want to revoke the storage account's access keys and rotate them. The solution must be serverless and event-driven. What should they implement?

    Select an answer first
  2. 17application · medium

    A company runs a serverless application that processes security events. They need to automatically revoke a user's access in Azure AD when Azure Monitor detects a suspicious sign-in, and then log the action to a SIEM. The solution must minimize infrastructure management. What should they implement?

    Select an answer first
  3. 18application · medium

    An organization wants to automatically respond to a specific Defender for Cloud recommendation (e.g., 'Vulnerabilities in container images should be remediated') by triggering a workflow that scans the image, patches it, and redeploys the container. They also want to notify the DevOps team. Which approach should they use?

    Select an answer first
  4. 19application · medium

    A government contractor must ensure that all Azure storage accounts in a subscription have TLS 1.2 enforced and are geo-redundant. They also want to be alerted if a non-compliant storage account is created. Which solution should they implement?

    Select an answer first
  5. 20expert · hard

    A company has a critical application that must be highly available. They want to monitor for specific performance metrics and automatically scale out the application when thresholds are exceeded. They also want to ensure that any scaling action is logged and auditable. Which solution should they implement?

    Select an answer first
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