GCP-SOE-B Exam & GCP-SOE-B Zertifizierung

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Google GCP-SOE-B Exam Syllabus Topics:

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

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Seit Neuem aktualisierte GCP-SOE-B Examfragen für Google GCP-SOE-B Prüfung

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Google Security Operations Engineer (Beta) GCP-SOE-B Prüfungsfragen mit Lösungen (Q81-Q86):

81. Frage
A SOC team notices repeated outbound HTTPS connections from a Compute Engine instance to an external IP every 60 seconds. CPU usage is normal and no malware signatures trigger. What is the BEST next analytical step?

A. Power off the instance
B. Notify executive leadership
C. Block the destination IP immediately
D. Identify the process and service account generating the traffic

Antwort: D

82. Frage
You are managing a Google Security Operations (SecOps) implementation for a regional customer. Your customer informs you that logs are appearing in the platform after a consistent six-hour delay. After some research, you determine that there is a log time zone issue. You want to fix this problem. What should you do?

A. Create a custom parser to correct the time zone.
B. Modify the UI settings to correct the time zone.
C. Create a parser extension to correct the time zone.
D. Modify the default parser and include a default time zone.

Antwort: C

83. Frage
You are conducting a proactive threat hunt in Google Security Operations (SecOps). You observe multiple login events with the same principal.user.userid field that originate from different countries within a short time window. You need to validate whether the account has been compromised. What should you do?

A. Perform a YARA-L 2.0 search for login events and their associated principal.location.country field. Use an outcome field to aggregate the number of failed logins.
B. Perform a UDM search for login events, and pivot to group results by user and country of origin.
C. Use the entity graph to correlate the user's risk score with linked assets, and review any active alerts.
D. Run a YARA-L retrohunt rule that detects users who are logging in from multiple regions using multiple entity contexts.

Antwort: B

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

Antwort: C

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

Antwort: B

86. Frage
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