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Google GCP-SOE-B Exam Syllabus Topics:

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

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Google Security Operations Engineer (Beta) Sample Questions (Q61-Q66):

NEW QUESTION # 61
You work for an organization that uses Security Command Center (SCC) with Event Threat Detection (ETD) enabled. You need to enable ETD detections for data exfiltration attempts from designated sensitive Cloud Storage buckets and BigQuery datasets. You want to minimize Cloud Logging costs. What should you do?

A. Enable VPC Flow Logs for the VPC networks containing resources that access the sensitive Cloud Storage buckets and BigQuery datasets.
B. Enable "data read" and "data write" audit logs for all Cloud Storage buckets and BigQuery datasets throughout the organization.
C. Enable "data read" and "data write" audit logs only for the designated sensitive Cloud Storage buckets and BigQuery datasets.
D. Enable "data read" audit logs only for the designated sensitive Cloud Storage buckets and BigQuery datasets.

Answer: D

NEW QUESTION # 62
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 # 63
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 parser extension to correct the time zone.
B. Modify the UI settings to correct the time zone.
C. Modify the default parser and include a default time zone.
D. Create a custom parser to correct the time zone.

Answer: A

NEW QUESTION # 64
You are responsible for identifying suspicious activity and security events in your organization's environment. You discover that some detection rules are being triggered for internal IP addresses in the 192.0.2.0/8 subnet that are causing false positive alerts. You want to improve these detection rules. What should you add to the YARA-L detection rules?

A. not net.ip_in_range_cidr(all Se.principal.ip, "192.0.2.0/8")
B. not net.ip_in_range_cidr(any Se.principal.ip, "192.0.2.0/8")
C. net.ip_in_range_cidr(any Se.principal.ip, "192.0.2.0/8")
D. net.ip_in_range_cidr(all Se.principal.ip, "192.0.2.0/8")

Answer: B

NEW QUESTION # 65
During a proactive threat hunting exercise, you discover that a critical production project has an external identity with a highly privileged IAM role. You suspect that this is part of a larger intrusion, and it is unknown how long this identity has had access. All logs are enabled and routed to a centralized organization-level Cloud Logging bucket, and historical logs have been exported to BigQuery datasets. You need to determine whether any actions were taken by this external identity in your environment. What should you do?

A. Analyze VPC Flow Logs exported to BigQuery, and correlate source IP addresses with potential login events for the external identity.
B. Use Policy Analyzer to identity the resources that are accessible by the external identity. Examine the logs related to these resources in the centralized Cloud Logging bucket and the BigQuery dataset.
C. Execute queries against the centralized Cloud Logging bucket and the BigQuery dataset to filter for logs for where the principal email matches the external identity.
D. Analyze IAM recommender insights and Security Command Center (SCC) findings associated with the external identity.

Answer: C

NEW QUESTION # 66
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