Knowledge check

To automate the scaling of Azure resources based on demand.

To create and customize logic for detecting threats and generating alerts.

To manually process and analyze large datasets for insights.

By manually archiving old data to reduce data volume.

By enabling integration with various data sources for comprehensive security analytics.

By encrypting all data stored in Azure Storage to meet compliance requirements.

To increase the storage capacity of Azure Blob Storage.

To monitor and analyze security events across Azure and on-premises environments.

To reduce the cost of Azure Virtual Machines.

By ignoring low-severity alerts to focus on high-severity incidents only.

Through systematic investigation and triage to determine the appropriate response.

Using physical security controls to prevent unauthorized access to data centers.

To replace the need for a security operations team entirely.

To manually review and approve every security alert generated.

To streamline response processes by automating actions based on specific triggers.