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Google GCP-SOE-B Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Security Operations Fundamentals | - Security monitoring and logging concepts - Threat detection and incident response lifecycle |
| Topic 2: SIEM and SOAR Operations | - Case management and response automation - Alert triage and investigation |
| Topic 3: Cloud Security Monitoring | - Google Cloud Logging and Monitoring integration - IAM and access anomaly detection |
| Topic 4: Google Security Operations (Chronicle) | - Log ingestion and normalization - Threat hunting workflows - Detection rules and analytics |
Google Security Operations Engineer (Beta) Sample Questions:
1. You need to augment your organization's existing Security Command Center (SCC) implementation with additional detectors. You have a list of known IOCS and would like to include external signals for this capability to ensure broad detection coverage. What should you do?
A) Create a Security Health Analytics (SHA) custom module using the compute address resource.
B) Create a custom posture for your organization that combines the prebuilt Event Threat Detection and Security Health Analytics (SHA) detectors.
C) Create a custom log sink with internal and external IP addresses from threat intelligence. Use the SCC API to generate a finding for each event.
D) Create an Event Threat Detection custom module using the "Configurable Bad IP" template.
2. You are writing a Google Security Operations (SecOps) SOAR playbook that uses the VirusTotal v3 integration to look up a URL that was reported by a threat hunter in an email. You need to use the results to make a preliminary recommendation on the maliciousness of the URL and set the severity of the alert based on the output. What should you do? (Choose two.)
A) Create a widget that translates the JSON output to a severity score.
B) Use the number of detections from the response JSON in a conditional statement to set the severity.
C) Pass the response back to the SIEM.
D) Verify that the response is accurate by manually checking the URL in VirusTotal
E) Use a conditional statement to determine whether to treat the URL as suspicious or benign.
3. You are implementing Google Security Operations (SecOps) with multiple log sources. You want to closely monitor the health of the ingestion pipeline's forwarders and collection agents, and detect silent sources within five minutes. What should you do?
A) Create an ingestion notification for health metrics in Cloud Monitoring based on the total ingested log count for each collector_id.
B) Create a Looker dashboard that queries the BigQuery ingestion metrics schema for each log_type and collector_id.
C) Create a Google SecOps SIEM dashboard to show the ingestion metrics for each log_type and collector_id.
D) Create a notification in Cloud Monitoring using a metric- absence condition based on sample policy for each collector_id.
4. Your organization is a Google Security Operations (SecOps) customer. The compliance team requires a weekly export of case resolutions and SLA metrics of high and critical severity cases over the past week. The compliance team's post- processing scripts require this data to be formatted as tabular data in CSV files, zipped, and delivered to their email each Monday morning.
What should you do?
A) Build a detection rule with outcomes, and configure a Google SecOps SOAR job to format and send the report.
B) Generate a report in SOAR Reports, and schedule delivery of the report.
C) Build an Advanced Report in SOAR Reports, and schedule delivery of the report.
D) Use statistics in search, and configure a Google SecOps SOAR job to format and send the report.
5. 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) Run a YARA-L retrohunt rule that detects users who are logging in from multiple regions using multiple entity contexts.
B) 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.
C) Perform a UDM search for login events, and pivot to group results by user and country of origin.
D) Use the entity graph to correlate the user's risk score with linked assets, and review any active alerts.
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: B,E | Question # 3 Answer: D | Question # 4 Answer: D | Question # 5 Answer: C |



