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Google GCP-SOE-B Exam Syllabus Topics:

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

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Google Security Operations Engineer (Beta) Sample Questions (Q30-Q35):

NEW QUESTION # 30
Your team has onboarded a new log source from a third-party DNS filtering solution. After ingestion, you observe that key UDM fields such as network.dns.questions.name and metadata.product_event_type are missing from the parsed events in Google Security Operations (SecOps). You suspect that the default parser does not fully align with the source format. You need to ensure these fields are available for downstream detection rules that rely on DNS query telemetry and event categorization. What should you do?

A. Enable asset enrichment for the log source to infer missing fields based on correlated host activity.
B. Create a parser extension that maps the missing source fields to the correct UDM fields and attach it to the existing parser.
C. Modify the ingestion source definition to remap raw fields directly to UDM by using the UDM sample output.
D. Use a custom parser that outputs all fields as raw JSON for detection.

Answer: B

NEW QUESTION # 31
You are responsible for selecting and prioritizing potential sources of data to integrate with Google Security Operations (SecOps). Your company has recently started using several Google Cloud services to increase security in its Google Cloud organization. You need to determine which logs should be ingested into Google SecOps to reduce the effort required to write detections. What should you do?

A. Ingest Google Cloud Armor logs by using Cloud Logging.
B. Use Google Threat Intelligence to gain insight about threat group behavior and support threat hunting activities.
C. Integrate Security Command Center (SCC) into Google SecOps to ingest logs originating from the Google Cloud services.
D. Deploy a Bindplane agent to ingest event logs from Compute Engine VMs that provide endpoint visibility.

Answer: C

NEW QUESTION # 32
You have a close relationship with a vendor who reveals to you privately that they have discovered a vulnerability in their web application that can be exploited in an XSS attack. This application is running on servers in the cloud and on- premises. Before the CVE is released, you want to look for signs of the vulnerability being exploited in your environment. What should you do?

A. Create a YARA-L 2.0 rule to detect a time-ordered series of events where an external inbound connection to a server was followed by a process on the server that spawned subprocesses previously not seen in the environment.
B. Ask the Gemini Agent in Google Security Operations (SecOps) to search for the latest vulnerabilities in the environment.
C. Activate a new Web Security Scanner scan in Security Command Center (SCC), and look for findings related to XSS.
D. Create a YARA-L 2.0 rule to detect high-prevalence binaries on your web server architecture communicating with known command and control (C2) nodes. Review inbound traffic from those C2 domains that have only started appearing recently.

Answer: A

NEW QUESTION # 33
Your organization plans to ingest logs from an on-premises MySQL database as a new log source into its Google Security Operations (SecOps) instance. You need to create a solution that minimizes effort. What should you do?

A. Configure and deploy a Google SecOps forwarder.
B. Configure direct ingestion from your Google Cloud organization.
C. Configure a third-party API feed in Google SecOps.
D. Configure and deploy a Bindplane collection agent.

Answer: A

NEW QUESTION # 34
You have identified a new threat actor group that has several IOCs in Google Threat Intelligence. You want to use some of these IOCs in several detection rules in Google Security Operations (SecOps) to help identify suspicious activity. You want to use the most effective approach. What should you do?

A. Save the IOCs in a new collection in Google Threat Intelligence. Share this list with other members of the security team to facilitate their searches and rule creation.
B. Configure a new data feed in Google SecOps that includes the IOCS. Update the YARA-L logic to reference the new IOCS against applicable UDM fields.
C. Identify the detection rules that apply to the new IOCS, and update the YARA-L logic to reference the threat actor group.
D. Add the IOCs to a new or existing reference list, and update the YARA-L logic of detection rules to include the reference list.

Answer: D

NEW QUESTION # 35
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