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Google Security-Operations-Engineer Exam Syllabus Topics:

Section	Weight	Objectives
Platform operations	14%	- Configure Security Command Center - Monitor platform health and performance - Manage access and permissions - Manage Google Security Operations platform
Threat hunting	19%	- Design and execute threat hunts - Document and share findings - Use threat intelligence in hunting - Analyze anomalies and behaviors
Incident response	21%	- Develop and use response playbooks - Contain and eradicate threats - Automate response workflows - Investigate security incidents
Detection engineering	22%	- Manage detection lifecycle - Develop detection rules (YARA-L, Sigma) - Optimize detection logic and reduce false positives - Implement threat intelligence into detections
Data management	14%	- Ingest and normalize logs and data - Manage data retention and storage - Implement Unified Data Model (UDM) - Validate data quality and completeness
Observability	10%	- Report security posture and risks - Design monitoring and alerting strategies - Improve security visibility - Analyze telemetry and metrics

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Google Cloud Certified - Professional Security Operations Engineer (PSOE) Exam Sample Questions (Q11-Q16):

NEW QUESTION # 11
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 ID.
B. Ingest logs from Windows Procmon.
C. Ingest logs from Windows Sysmon.
D. Ingest logs from Windows PowerShell.

Answer: C

Explanation:
To ensure the principal.user.userid field captures all relevant activity, you should ingest logs from Windows Sysmon. Sysmon provides detailed system activity, including process creation, network connections, and user context, which complements EDR and Windows Event logs, allowing YARA-L rules to match across all endpoint telemetry.

NEW QUESTION # 12
Your company has deployed two on-premises firewalls. You need to configure the firewalls to send logs to Google Security Operations (SecOps) using Syslog. What should you do?

A. Set the Google SecOps URL instance as the Syslog destination.
B. Deploy a third-party agent (e.g Bindplane, NXLog) on your on-premises environment, and set the agent as the Syslog destination.
C. Deploy a Google Ops Agent on your on-premises environment, and set the agent as the Syslog destination.
D. Pull the firewall logs by using a Google SecOps feed integration.

Answer: B

Explanation:
On-premises firewalls cannot send logs directly to Google SecOps. The correct approach is to deploy a third-party agent (such as Bindplane or NXLog) in your on-premises environment and configure the firewalls to forward Syslog data to that agent. The agent then reliably forwards the logs to Google SecOps for ingestion.

NEW QUESTION # 13
You are a SOC manager guiding an implementation of your existing incident response plan (IRP) into Google Security Operations (SecOps). You need to capture time duration data for each of the case stages. You want your solution to minimize maintenance overhead. What should you do?

A. Configure a detection rule in SIEM Rules & Detections to include logic to capture the event fields for each case with the relevant stage metrics.
B. Write a job in the IDE that runs frequently to check the progress of each case and updates the notes with timestamps to reflect when these changes were identified.
C. Create a Google SecOps dashboard that displays specific actions that have been run, identifies which stage a case is in, and calculates the time elapsed since the start of the case.
D. Configure Case Stages in the Google SecOps SOAR settings, and use the Change Case Stage action in your playbooks that captures time metrics when the stage changes.

Answer: D

Explanation:
This requirement is a core, out-of-the-box feature of the Google SecOps SOAR platform. The solution with the minimal maintenance overhead is always the native, built-in one. The platform is designed to measure SOC KPIs (like MTTR) by tracking Case Stages.
A SOC manager first defines their organization's incident response stages (e.g., "Triage," "Investigation,"
"Remediation") in the SOAR settings. Then, as playbooks are built, the Change Case Stage action is added to the workflow. When a playbook runs, it triggers this action, and the SOAR platform automatically timestamps the exact moment a case transitions from one stage to the next.
This creates the precise time-duration data needed for metrics. This data is then automatically available for the built-in dashboards and reporting tools (as mentioned in Option A, which is the result of Option B). Option D (custom IDE job) and Option C (detection rule) are incorrect, high-maintenance, and non-standard ways to accomplish a task that is a fundamental feature of the SOAR platform.
(Reference: Google Cloud documentation, "Google SecOps SOAR overview"; "Get insights from dashboards and reports"; "Manage playbooks")

NEW QUESTION # 14
You are a security engineer at a financial technology company. You need to create a centralized dashboard to provide security posture visibility for your leadership team. The dashboard must meet these requirements:
- Provide insights from Security Command Center (SCC) findings and security-related events captured in Cloud Logging.
- Support large volumes of historical data.
- Be able to join SCC findings and audit logs.
You want to use the most effective visualization solution that uses Google Cloud managed services. What should you do?

A. Ingest the SCC findings and Cloud Audit Logs into a Cloud Storage bucket. Write a Python script that reads the data and uses Matplotlib to create the visualizations.
B. Use the built-in SCC dashboard to visualize the SCC finding, and extract log counts for specific log events from Cloud Audit Logs.
C. Create custom metrics in Cloud Monitoring based on the SCC findings, and configure log-based metrics for security-related events. Build Cloud Monitoring dashboards to visualize these custom and log-based metrics.
D. Export SCC findings and Cloud Audit Logs to BigQuery. Connect Looker Studio to the BigQuery datasets, and create the visualizations and filters.

Answer: D

Explanation:
The most effective approach is to export SCC findings and Cloud Audit Logs into BigQuery, which supports large-scale storage and querying of historical data. You can then connect Looker Studio to BigQuery to create a centralized dashboard that visualizes and joins SCC findings with audit logs. This leverages fully managed Google Cloud services and provides scalability, flexibility, and real-time reporting for leadership visibility.

NEW QUESTION # 15
You are working with your company's analyst team to automate the investigation of phishing alerts ingested directly into Google Security Operations (SecOps) SOAR from an email inbox.
The analyst team currently uses a SIEM query to search for related information. You need to design a solution to automatically include the query results in the Google SecOps case without writing any new code. What should you do?

A. Modify the detection rule in the SIEM to include the query results as part of the detection.
B. Add a widget to the Default Case View in Google SecOps SOAR that allows the analyst team to query directly from the widget.
C. Create a custom action in Google SecOps IDE that runs the SIEM query from a playbook through an API call and returns the results.
D. Add an action to the playbook that runs the SIEM query and returns the results.

Answer: D

Explanation:
The simplest and most effective way - without writing new code - is to add an action to the playbook that runs the SIEM query and returns the results. This integrates SIEM query results automatically into each phishing case, supporting streamlined analyst investigations.

NEW QUESTION # 16
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