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Google GCP-SOE-B Exam Syllabus Topics:

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

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Google Security Operations Engineer (Beta) Sample Questions (Q29-Q34):

NEW QUESTION # 29
You are writing a detection rule in Google Security Operations (SecOps) SIEM that sends a risk score to the alert. You have access to Google Threat Intelligence (GTI) data through your Google SecOps subscription. You need to ensure that the threat score output in the detection logic informs the alert's risk score and is available for future detections. What should you do?

A. Use the outcomes section of your detection logic to pull UDM enrichment fields from the event data. Apply logic to determine the total risk outcome, and store the risk score as the risk_score variable
B. Use the match section of your detection logic to filter out irrelevant entities. Store the remaining entities as the risk_score variable.
C. Create a Google SecOps SOAR playbook to query GTI that uses the VirusTotal integration to enrich the alert. Modify the risk_score context value to match.
D. Configure a feed in Google SecOps SIEM to ingest GTI data to automatically enrich the appropriate entities.

Answer: A

NEW QUESTION # 30
You are threat hunting for an advanced threat group known for targeted, novel attacks by deploying campaign-specific infrastructure. You want to develop detections based on the threat group's behaviors so you can effectively detect whether the threat group has attacked your organization. What should you do?

A. Search for the threat actor in Google Threat Intelligence, export the IOCs associated with the threat actor into a Google Security Operations (SecOps) list, and develop detections that reference this list.
B. Search for the threat actor in Google Threat Intelligence, review the threat actor's tactics, techniques, and procedures (TTPs), and design detections based on the TTPs in Google Security Operations (SecOps).
C. Find intelligence reports in Google Threat Intelligence that relate to the threat actor, identify their behavior in previous campaigns, and use the past behavior to design detections in Google Security Operations (SecOps).
D. Identify exposed technologies and products used by your organization, and develop detections to search for signs of exploitation.

Answer: B

NEW QUESTION # 31
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 IAM recommender insights and Security Command Center (SCC) findings associated with the external identity.
B. Analyze VPC Flow Logs exported to BigQuery, and correlate source IP addresses with potential login events for the external identity.
C. 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.
D. 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.

Answer: D

NEW QUESTION # 32
After resolving a confirmed security incident in Google Cloud, what action provides the GREATEST long-term security improvement?

A. Increasing log retention
B. Adding more analysts
C. Updating detections, playbooks, and IAM controls based on lessons learned
D. Closing all related alerts

Answer: C

NEW QUESTION # 33
You work at a financial services company. You need to detect in near real-time when a Cloud Run functions service agent modifies the IAM policy of an Artifact Registry repository. You plan to use Security Command Center (SCC). You want to follow the Google-recommended approach.
What should you do?

A. Use Event Threat Detection in SCC with a custom unexpected Cloud API call rule that detects when a specified principal calls a method against a resource.
B. Create a custom Security Health Analytics (SHA) detector that scans Artifact Registry repositories for IAM policy changes. When a change is detected identify the principal that made the change.
C. Implement a Cloud Run function that is triggered by IAM policy changes within the project and sends an alert to SCC using the Security Command Center API.
D. Configure a Cloud Logging log sink to export all IAM policy changes to BigQuery, and create a custom dashboard in SCC to visualize the data.

Answer: A

NEW QUESTION # 34
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