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Google GCP-SOE-B Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Detection Engineering	25-30%	- Threat hunting methodologies - Log source integration and correlation - False positive management - SIEM platform usage (Chronicle, Splunk, etc.) - Designing and implementing detection rules
Topic 2: Google Cloud Security Operations	15-20%	- Automation with SOAR capabilities - Cloud-native threat detection - SIEM integration with Google Cloud services - Security Command Center integration - Google Cloud logging and monitoring (Cloud Logging, Cloud Monitoring)
Topic 3: Incident Response	20-25%	- Evidence collection and preservation - Incident classification and prioritization - Forensic analysis techniques - Root cause analysis - Post-incident reporting
Topic 4: Foundations of Security Operations	15-20%	- Security operations concepts and lifecycle - Building a security operations center (SOC) - Logging and monitoring infrastructure - Understanding MITRE ATT&CK framework
Topic 5: Threat Intelligence	15-20%	- Threat intelligence sources and feeds - Indicator of compromise (IOC) analysis - Threat actor profiling - Intelligence-driven defense

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Google Security Operations Engineer (Beta) Sample Questions (Q10-Q15):

NEW QUESTION # 10
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 PowerShell.
C. Ingest logs from Windows Sysmon.
D. Ingest logs from Microsoft Entra I

Answer: C

NEW QUESTION # 11
Your organization's Google Security Operations (SecOps) tenant is ingesting a vendor's firewall logs in its default JSON format using the Google-provided parser for that log. The vendor recently released a patch that introduces a new field and renames an existing field in the logs. The parser does not recognize these two fields and they remain available only in the raw logs, while the rest of the log is parsed normally. You need to resolve this logging issue as soon as possible while minimizing the overall change management impact. What should you do?

A. Use the web interface-based custom parser feature in Google SecOps to copy the parser, and modify it to map both fields to UDM.
B. Deploy a third-party data pipeline management tool to ingest the logs, and transform the updated fields into fields supported by the default parser.
C. Write a code snippet, and deploy it in a parser extension to map both fields to UDM.
D. Use the Extract Additional Fields tool in Google SecOps to convert the raw log entries to additional fields.

Answer: D

NEW QUESTION # 12
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. Enable default curated detections to automatically block suspicious IP addresses.
B. Remove user accounts that have repeated invalid login attempts.
C. Use UDM Search to query historical logs for recent IOCS associated with the suspicious login attempts.
D. Look for correlations across impacted users in the Risk Analytics dashboard.

Answer: D

NEW QUESTION # 13
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. 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.
B. 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.
C. Create a tagging rule in the Google SecOps SOAR settings, and use a tag trigger to trigger the specific playbook.
D. Change the "All" trigger to be more precise so that it doesn't trigger when the other playbook is needed.

Answer: B

NEW QUESTION # 14
You have noticed that a Google Security Operations (SecOps) detection rule that detects excessive network connections is triggering too frequently and creating too many false positive alerts. You want to improve the rule to reduce the noise without reducing the effectiveness of the rule. What change to the detection rule should you implement?

A. Assign a risk score in the YARA-L outcome: section to prioritize alerts more effectively in the alert queue.
B. Add a threshold in the YARA-L condition: section to ensure that the rule only alerts after a certain number of connections.
C. Include a 10 minute timeframe for the same source and destination of network connections in the YARA-L match: section to aggregate the alerts.
D. Update the YARA-L events: section to exclude the most common IP addresses involved in the network connection alerts to reduce the number of alerts.

Answer: B

NEW QUESTION # 15
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