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Google GCP-SOE-B Exam Syllabus Topics:

Section	Weight	Objectives
Platform Operations	14%	- Manage Google Security Operations (SecOps) platform settings - Administer Google Threat Intelligence (GTI) integrations - Configure and manage Security Command Center (SCC) resources
Threat Hunting	18%	- Use UDM search and query languages effectively - Document and report hunting findings - Design and execute threat-hunting methodologies - Leverage threat intelligence to identify anomalies and threats
Data Management	22%	- Manage data retention, storage, and access policies - Plan and implement data ingestion pipelines - Optimize log and event data for analysis - Normalize and map data to Unified Data Model (UDM)
Observability and Reporting	8%	- Monitor platform health and performance - Generate compliance and operational reports - Build dashboards and metrics for security posture
Detection Engineering	20%	- Develop and maintain detection rules (YARA-L, Sigma) - Implement automated detection workflows - Integrate detections with alerting and case management - Validate and tune detection logic to reduce false positives
Incident Response	18%	- Conduct forensic analysis and root cause determination - Triage, prioritize, and investigate security alerts - Orchestrate and automate response actions - Document incidents and support remediation

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Google Security Operations Engineer (Beta) Sample Questions (Q84-Q89):

NEW QUESTION # 84
Your organization uses Google Security Operations (SecOps). You need to identify the most commonly occurring processes and applications across your organization's large number of servers so you can implement baselines and exclusion lists on a regular basis. You want to use the most efficient approach. What should you do?

A. Run a UDM search, and review aggregations for relevant process-related UDM fields.
B. Generate a Google SecOps SIEM dashboard based on relevant UDM fields, such as processes, that provides the counts for process names and files.
C. Review the Google SecOps SIEM Rules & Detections, and identify the most common processes appearing in alerts that are marked as false positives.
D. Use the UDM lookup feature to identify relevant process- related UDM fields and values.

Answer: A

NEW QUESTION # 85
You work for a large international company that has several Compute Engine instances running in production. You need to configure monitoring and alerting for Compute Engine instances tagged with compliance-pci that have an external IP address assigned. What should you do?

A. Deploy the compute.vmExternallpAccess organization policy constraint to prevent specific projects or folders with the compliance-pci tag from creating Compute Engine instances with external IP addresses.
B. Create a custom Security Health Analytics (SHA) module. Configure the detection logic to scan Cloud Asset Inventory data for compute.googleapis.com/Instance assets, and Search for the compliance-pci tag.
C. Create a custom Event Threat Detection module that alerts when a Compute Engine instance with the compliance-pci tag is assigned an external IP address.
D. Use the PUBLIC_IP_ADDRESS Security Health Analytics (SHA) detector to identify Compute Engine instances with external IP addresses. Determine whether the compliance-pci tag exists on the instances.

Answer: D

NEW QUESTION # 86
You use Google Security Operations (SecOps) curated detections and YARA-L rules to detect suspicious activity on Windows endpoints. Your source telemetry uses EDR and Windows Events logs. Your rules match on the principal.user.userid UDM field. You need to ingest an additional log source for this field to match all possible log entries from your EDR and Windows Event logs. What should you do?

A. Ingest logs from Microsoft Entra I
B. Ingest logs from Windows PowerShell.
C. Ingest logs from Windows Sysmon.
D. Ingest logs from Windows Procmon.

Answer: C

NEW QUESTION # 87
You are ingesting and parsing logs from an SSO provider and an on-premises appliance using Google Security Operations (SecOps). Users are tagged as "restricted" by an internal process. Restrictions last five days from the most recent flagging time. You need to create a rule to detect when restricted users log into the appliance. Your solution must be quickly implemented and easily maintained. What should you do?

A. Ingest the user flags as custom enrichment data using a feed. Use a multi-event detection rule to find logins from users flagged in the entity graph.
B. Store the flagged users in a data table column with their corresponding time to live values in a second column. Use row-based comparisons in your detection rule.
C. Store the identifiers of the flagged users in the detection rule logic. Actively monitor for newly flagged users, and add them to the detection rule logic.
D. Use a Google SecOps SOAR global context value to store a list of flagged users with their corresponding time to live values. Use a SOAR job to dynamically build and deploy a new version of the detection rule with the updated list of flagged users.

Answer: A

NEW QUESTION # 88
You are an incident response engineer at an organization that uses Google Security Operations (SecOps). You recently started monitoring IOCS in Applied Threat Intelligence using YARA-L rules. You have discovered that there are more false positive alerts than expected, which is causing noise for the SOC team. You need to reduce the number of false positive alerts. What should you do?

A. Implement curated detections instead of custom YARA-L rules.
B. Create a playbook that automatically tunes the IOC source if its indicator confidence score (IC- Score) is between 60% and 80%.
C. Configure alert grouping for the most repetitive alerts.
D. Modify the YARA-L rules to use an indicator confidence score (IC-Score) of 60% and above.

Answer: D

NEW QUESTION # 89
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