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Google GCP-SOE-B Exam Syllabus Topics:

Google Security Operations Engineer (Beta) Sample Questions:

1. Your organization has a standard set of Google Security Operations (SecOps) playbooks that are applied to alerts in different circumstances. One playbook uses an "All" trigger that should always be applied if no other more specific playbooks have triggered. You need to ensure that the more specific playbook is attached and not the generic "All" playbook when multiple triggers match.
What should you do?

A) Set the priority of the "All" playbook to a higher value than the priority of the specific playbook to ensure the "All" trigger is evaluated after the previous priorities.
B) Create a tagging rule in the Google SecOps SOAR settings, and use a tag trigger to trigger the specific playbook.
C) Change the "All" trigger to be more precise so that it doesn't trigger when the other playbook is needed.
D) In the Outcomes section of the detection rule that is firing your alert, add a specific field to search for the specific playbook to base the trigger on.

2. An organization detects a successful login to a Google Cloud IAM user from an unfamiliar country, followed by the creation of multiple new service account keys within minutes. No malware alerts are triggered. What is the MOST appropriate immediate action?

A) Wait for evidence of data access
B) Revoke active credentials, disable the compromised identity, and initiate an incident response
C) Disable the service accounts and continue monitorin
D) Rotate only the affected user's password

3. Your organization has recently onboarded to Google Cloud with Security Command Center Enterprise (SCCE) and is now integrating it with your organization's SO You want to automate the response process and integrate with the existing SOW ticketing system. How should you implement this functionality?

A) Disable the generic posture finding playbook in Google Security Operations (SecOps) SOAR and enable the playbook for the ticketing system. Add a step in your Google SecOps SOAR playbook to generate a ticket based on the event type.
B) Configure the SCC notifications feed to use Pub/Sub for alerts. Create a Cloud Run function to trigger when an event arrives in the topic and generate a ticket by calling the API endpoint in the SOC ticketing system.
C) Evaluate each event within the SCC console. Create a ticket for each finding in the ticketing system, and include the remediation steps.
D) Use the SCC notifications feed to send alerts to Pub/Sub. Ingest these feeds using the relevant SIEM connector.

4. You are responsible for managing threat intelligence and IOC lists in your organization. You have compiled a list of IOCS from recent incidents. You want to quickly and efficiently share the IOCs with other teams for collaboration and integration into their operational processes. What should you do?

A) Create a list in Google Security Operations (SecOps), and grant the required access to the other teams.
B) Export the IOCS from Google Threat Intelligence in CSV or JSON format, and email the file to the other teams.
C) Create a new threat graph in Google Threat Intelligence, and share the graph with the other teams.
D) Add the IOCs to a collection in Google Threat Intelligence, and share the collection with the other teams.

5. You work for an organization that uses Security Command Center (SCC) with Event Threat Detection (ETD) enabled. You need to enable ETD detections for data exfiltration attempts from designated sensitive Cloud Storage buckets and BigQuery datasets. You want to minimize Cloud Logging costs. What should you do?

A) Enable "data read" and "data write" audit logs for all Cloud Storage buckets and BigQuery datasets throughout the organization.
B) Enable VPC Flow Logs for the VPC networks containing resources that access the sensitive Cloud Storage buckets and BigQuery datasets.
C) Enable "data read" and "data write" audit logs only for the designated sensitive Cloud Storage buckets and BigQuery datasets.
D) Enable "data read" audit logs only for the designated sensitive Cloud Storage buckets and BigQuery datasets.

Solutions: