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Google GCP-SOE-B Exam Syllabus Topics:

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

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Google Security Operations Engineer (Beta) Sample Questions (Q14-Q19):

NEW QUESTION # 14
Your company is adopting a multi-cloud environment. You need to configure comprehensive monitoring of threats using Google Security Operations (SecOps). You want to start identifying threats as soon as possible. What should you do?

A. Use curated detections for Applied Threat Intelligence to monitor your company's cloud environment.
B. Use curated detections from the Cloud Threats category to monitor your cloud environment.
C. Ask Cloud Customer Care to provide a set of rules recommended by Google to monitor your company's cloud environment.
D. Use Gemini to generate YARA-L rules for multi-cloud use cases.

Answer: B

NEW QUESTION # 15
Your organization has recently onboarded to Google Cloud with Security Command Center Enterprise (SCCE) and is now integrating it with your organization's SO You want to automate the response process and integrate with the existing SOW ticketing system. How should you implement this functionality?

A. Configure the SCC notifications feed to use Pub/Sub for alerts. Create a Cloud Run function to trigger when an event arrives in the topic and generate a ticket by calling the API endpoint in the SOC ticketing system.
B. Disable the generic posture finding playbook in Google Security Operations (SecOps) SOAR and enable the playbook for the ticketing system. Add a step in your Google SecOps SOAR playbook to generate a ticket based on the event type.
C. Use the SCC notifications feed to send alerts to Pub/Sub. Ingest these feeds using the relevant SIEM connector.
D. Evaluate each event within the SCC console. Create a ticket for each finding in the ticketing system, and include the remediation steps.

Answer: A

NEW QUESTION # 16
Your Google Security Operations (SecOps) SOAR integration with Security Command Center (SCC) uses a service account that currently has read access to the findings at the organization level. Google SecOps SOAR successfully reads SCC finding data, but actions attempting to update the finding states consistently fail with a permission denied error. You need to resolve this error while following the principle of least privilege. What should you do?

A. Grant the service account the roles/iam.serviceAccountUser IAM role to itself.
B. Regenerate the service account key, and update the credentials in Google SecOps SOAR.
C. Grant the service account the roles/securitycenter.findings Editor IAM role at the organization level.
D. Grant the service account the roles/securitycenter.findingsBulkMuteEditor IAM role at the organization level.

Answer: C

NEW QUESTION # 17
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. Use a custom parser that outputs all fields as raw JSON for detection.
C. Create a parser extension that maps the missing source fields to the correct UDM fields and attach it to the existing parser.
D. Modify the ingestion source definition to remap raw fields directly to UDM by using the UDM sample output.

Answer: C

NEW QUESTION # 18
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. Deploy a third-party data pipeline management tool to ingest the logs, and transform the updated fields into fields supported by the default parser.
B. Write a code snippet, and deploy it in a parser extension to map both fields to UDM.
C. Use the Extract Additional Fields tool in Google SecOps to convert the raw log entries to additional fields.
D. Use the web interface-based custom parser feature in Google SecOps to copy the parser, and modify it to map both fields to UDM.

Answer: C

NEW QUESTION # 19
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