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Google GCP-SOE-B Exam Syllabus Topics:

Section	Weight	Objectives
Threat Intelligence	15-20%	- Indicator of compromise (IOC) analysis - Threat intelligence sources and feeds - Intelligence-driven defense - Threat actor profiling
Google Cloud Security Operations	15-20%	- SIEM integration with Google Cloud services - Google Cloud logging and monitoring (Cloud Logging, Cloud Monitoring) - Security Command Center integration - Cloud-native threat detection - Automation with SOAR capabilities
Incident Response	20-25%	- Evidence collection and preservation - Forensic analysis techniques - Incident classification and prioritization - Post-incident reporting - Root cause analysis
Detection Engineering	25-30%	- SIEM platform usage (Chronicle, Splunk, etc.) - False positive management - Designing and implementing detection rules - Log source integration and correlation - Threat hunting methodologies
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 (Q72-Q77):

NEW QUESTION # 72
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 a notification in Cloud Monitoring using a metric- absence condition based on sample policy for each collector_id.
B. Create a Google SecOps SIEM dashboard to show the ingestion metrics for each log_type and collector_id.
C. Create a Looker dashboard that queries the BigQuery ingestion metrics schema for each log_type and collector_id.
D. Create an ingestion notification for health metrics in Cloud Monitoring based on the total ingested log count for each collector_id.

Answer: A

NEW QUESTION # 73
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 # 74
You are a security operations engineer in an enterprise that uses Google Security Operations (SecOps). Your organization recently faced a cybersecurity breach. You need to increase the threat analytics as quickly as possible. What should you do?

A. Enable curated detections to identify threats.
B. Develop YARA-L detection rules that focus on threat intelligence.
C. Design YARA-L detection rules based on Google SecOps Marketplace use cases.
D. Ingest data from a threat intelligence platform (TIP) into Google SecOps.

Answer: A

NEW QUESTION # 75
You are a SOC manager guiding an implementation of your existing incident response plan (IRP) into Google Security Operations (SecOps). You need to capture time duration data for each of the case stages. You want your solution to minimize maintenance overhead. What should you do?

A. Write a job in the IDE that runs frequently to check the progress of each case and updates the notes with timestamps to reflect when these changes were identified.
B. Configure a detection rule in SIEM Rules & Detections to include logic to capture the event fields for each case with the relevant stage metrics.
C. Create a Google SecOps SOAR dashboard that displays specific actions that have been run, identifies which stage a case is in, and calculates the time elapsed since the start of the case.
D. Configure Case Stages in the Google SecOps SOAR settings, and use the Change Case Stage action in your playbooks that captures time metrics when the stage changes.

Answer: D

NEW QUESTION # 76
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. Use a conditional statement to determine whether to treat the URL as suspicious or benign.
D. Verify that the response is accurate by manually checking the URL in VirusTotal
E. Pass the response back to the SIEM.

Answer: B,C

NEW QUESTION # 77
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