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Google GCP-SOE-B Exam Syllabus Topics:

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

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Google Security Operations Engineer (Beta) Sample Questions (Q35-Q40):

NEW QUESTION # 35
Your organization uses the curated detection rule set in Google Security Operations (SecOps) for high priority network indicators. You are finding a vast number of false positives coming from your on-premises proxy servers. You need to reduce the number of alerts. What should you do?

A. Configure a rule exclusion for the principal.ip field.
B. Configure a rule exclusion for the network.asset.ip field.
C. Configure a rule exclusion for the target.ip field.
D. Configure a rule exclusion for the target.domain field.

Answer: B

NEW QUESTION # 36
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 # 37
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 # 38
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 UDM search for login events, and pivot to group results by user and country of origin.
B. Run a YARA-L retrohunt rule that detects users who are logging in from multiple regions using multiple entity contexts.
C. 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.
D. Use the entity graph to correlate the user's risk score with linked assets, and review any active alerts.

Answer: A

NEW QUESTION # 39
You observe several distinct, low-severity suspicious activities associated with a single internal server. You determine that no single event is a high-confidence IO You need to create a solution that ensures ongoing and heightened scrutiny for this server. What should you do?

A. Add the server to a Google Security Operations (SecOps) watchlist, and monitor the watchlist closely for the next few weeks.
B. Develop a YARA-L detection rule specific to this server.
C. Create a case, isolate the server from the network, and escalate the case for forensic investigation.
D. Schedule a daily Google Security Operations (SecOps) report detailing all activity on this server.

Answer: A

NEW QUESTION # 40
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