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Google GCP-SOE-B Exam Syllabus Topics:

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

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Google Security Operations Engineer (Beta) Sample Questions (Q66-Q71):

NEW QUESTION # 66
You are writing a detection rule in Google Security Operations (SecOps) SIEM that sends a risk score to the alert. You have access to Google Threat Intelligence (GTI) data through your Google SecOps subscription. You need to ensure that the threat score output in the detection logic informs the alert's risk score and is available for future detections. What should you do?

A. Use the outcomes section of your detection logic to pull UDM enrichment fields from the event data. Apply logic to determine the total risk outcome, and store the risk score as the risk_score variable
B. Use the match section of your detection logic to filter out irrelevant entities. Store the remaining entities as the risk_score variable.
C. Create a Google SecOps SOAR playbook to query GTI that uses the VirusTotal integration to enrich the alert. Modify the risk_score context value to match.
D. Configure a feed in Google SecOps SIEM to ingest GTI data to automatically enrich the appropriate entities.

Answer: A

NEW QUESTION # 67
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 Windows Procmon.
B. Ingest logs from Windows Sysmon.
C. Ingest logs from Windows PowerShell.
D. Ingest logs from Microsoft Entra I

Answer: B

NEW QUESTION # 68
You are responsible for developing and configuring data ingestion in Google Security Operations (SecOps) for your organization. Your organization is using a prebuilt parser to parse a complex but stable and common log source. The parser is working correctly. However, your organization now wants you to change the configuration to parse additional fields from the raw logs and map them to UDM fields. What should you do?

A. Apply any pending updates to the prebuilt parser.
B. Design and develop a custom parser.
C. Implement middleware to modify the underlying data structure.
D. Implement a parser extension on top of the prebuilt parser.

Answer: D

NEW QUESTION # 69
You are a security analyst at an organization that uses Google Security Operations (SecOps).
You notice suspicious login attempts on several user accounts. You need to determine whether these attempts are part of a coordinated attack as quickly as possible. What action should you take first?

A. Look for correlations across impacted users in the Risk Analytics dashboard.
B. Use UDM Search to query historical logs for recent IOCS associated with the suspicious login attempts.
C. Enable default curated detections to automatically block suspicious IP addresses.
D. Remove user accounts that have repeated invalid login attempts.

Answer: A

NEW QUESTION # 70
You are using a Google-managed image on a Compute Engine instance in Google Cloud to run an application. You need to ingest the application's log output into Google Security Operations (SecOps). The log output is standard and has a valid label and parser in Google SecOps. Your solution must minimize the cost and time required to move this data into Google SecOps. What should you do?

A. Create a script on the workload that reads the logs and uses the Google SecOps Ingestion API to push them to Google SecOps.
B. Use the Ops Agent embedded in the Compute Engine image to pull the logs into Cloud Logging. Use the direct ingestion mechanism to ingest the logs from Google Cloud into Google SecOps.
C. Deploy a Bindplane agent on the image to collect and send the logs to Google SecOps.
D. Use the Ops Agent embedded in the Compute Engine image to pull the logs into a Cloud Storage bucket. Create a feed in Google SecOps to ingest the logs.

Answer: B

NEW QUESTION # 71
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