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Google Security Operations Engineer (Beta) Sample Questions:

1. Your company requires PCI DSS v4.0 compliance for its cardholder data environment (CDE) in Google Cloud. You use a Security Command Center (SCC) security posture deployment based on the PCI DSS v4.0 template to monitor for configuration drift. This posture generates a finding indicating that a Compute Engine VM within the CDE scope has been configured with an external IP address. You need to take an immediate action to remediate the compliance drift identified by this specific SCC posture finding. What should you do?

A) Navigate to the underlying Security Health Analytics (SHA) finding for PUBLIC_IP_ADDRESSon the VM, and mark this finding as fixed.
B) Remove the CDE-specific tag from the VM to exclude the tag from this particular PCI DSS posture evaluation scan.
C) Enable and enforce theconstraints/compute.vmExternallpAccess organization policy constraint at the project level for the project where the VM resides.
D) Reconfigure the network interface settings for the VM to explicitly remove the assigned external IP address.

2. During a proactive threat hunting exercise, you discover that a critical production project has an external identity with a highly privileged IAM role. You suspect that this is part of a larger intrusion, and it is unknown how long this identity has had access. All logs are enabled and routed to a centralized organization-level Cloud Logging bucket, and historical logs have been exported to BigQuery datasets. You need to determine whether any actions were taken by this external identity in your environment. What should you do?

A) Analyze VPC Flow Logs exported to BigQuery, and correlate source IP addresses with potential login events for the external identity.
B) Analyze IAM recommender insights and Security Command Center (SCC) findings associated with the external identity.
C) Use Policy Analyzer to identity the resources that are accessible by the external identity. Examine the logs related to these resources in the centralized Cloud Logging bucket and the BigQuery dataset.
D) Execute queries against the centralized Cloud Logging bucket and the BigQuery dataset to filter for logs for where the principal email matches the external identity.

3. Your company uses Google Security Operations (SecOps) Enterprise and is ingesting various logs. You need to proactively identify potentially compromised user accounts. Specifically, you need to detect when a user account downloads an unusually large volume of data compared to the user's established baseline activity. You want to detect this anomalous data access behavior using the least amount of effort. What should you do?

A) Inspect Security Command Center (SCC) default findings for data exfiltration in Google SecOps.
B) Develop a custom YARA-L detection rule in Google SecOps that counts download bytes per user per hour and triggers an alert if a threshold is exceeded.
C) Enable curated detection rules for User and Endpoint Behavioral Analytics (UEBA), and use the Risk Analytics dashboard in Google SecOps to identify metrics associated with the anomalous activity.
D) Create a log-based metric in Cloud Monitoring, and configure an alert to trigger if the data downloaded per user exceeds a predefined limit. Identify users who exceed the predefined limit in Google SecOps.

4. Your company's SOC analysts frequently submit manual change requests to a system administrator to make changes to the firewall rules on a specific router. You have the integration for the firewall installed and configured with credentials. You want to use the integration to trigger firewall rule changes directly from the Google Security Operations (SecOps) SOAR. Your system administrator requires the ability to manually approve the requested changes prior to deployment. How should you implement the workflow for analysts to trigger on demand?

A) Create an account for the system administrator in your Google SecOps instance to allow the system administrator to make the changes from Google SecOps directly. Add an escalation step to enable the analyst to assign the case to the system administrator.
B) Create a request in the Google SecOps SOAR settings that includes a field for the firewall rule.Create a playbook that is triggered by this request. Configure the playbook step that makes the firewall rule change to send an approval request from the system administrator. The approval request must include the parameter being changed.
C) Create an email template for the analyst to get approval for the change from the system administrator. Have the analyst fill out the needed fields, and send the email for approval. Once approved, use a manual action to make the change to the firewall rule from any open case.
D) Create a playbook where the firewall rule change is a manual step, allowing the analyst to edit the firewall rule as a pending action. Have the analyst email the system administrator with the change. Once approved, the analyst lets the playbook continue.

5. Your company is adopting a multi-cloud environment. You need to configure comprehensive monitoring of threats using Google Security Operations (SecOps). You want to start identifying threats as soon as possible. What should you do?

A) Use curated detections for Applied Threat Intelligence to monitor your company's cloud environment.
B) Use Gemini to generate YARA-L rules for multi-cloud use cases.
C) Ask Cloud Customer Care to provide a set of rules recommended by Google to monitor your company's cloud environment.
D) Use curated detections from the Cloud Threats category to monitor your cloud environment.

Solutions: