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Google GCP-SOE-B Exam Syllabus Topics:

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

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Google Security Operations Engineer (Beta) Sample Questions (Q65-Q70):

NEW QUESTION # 65
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. Verify that the response is accurate by manually checking the URL in VirusTotal
B. Create a widget that translates the JSON output to a severity score.
C. Use the number of detections from the response JSON in a conditional statement to set the severity.
D. Use a conditional statement to determine whether to treat the URL as suspicious or benign.
E. Pass the response back to the SIEM.

Answer: C,D

NEW QUESTION # 66
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. 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.
D. 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.

Answer: A

NEW QUESTION # 67
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. Develop a YARA-L detection rule specific to this server.
B. Add the server to a Google Security Operations (SecOps) watchlist, and monitor the watchlist closely for the next few weeks.
C. Schedule a daily Google Security Operations (SecOps) report detailing all activity on this server.
D. Create a case, isolate the server from the network, and escalate the case for forensic investigation.

Answer: B

NEW QUESTION # 68
A SOC team notices repeated outbound HTTPS connections from a Compute Engine instance to an external IP every 60 seconds. CPU usage is normal and no malware signatures trigger. What is the BEST next analytical step?

A. Notify executive leadership
B. Identify the process and service account generating the traffic
C. Block the destination IP immediately
D. Power off the instance

Answer: B

NEW QUESTION # 69
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. Use the web interface-based custom parser feature in Google SecOps to copy the parser, and modify it to map both fields to UDM.
B. Use the Extract Additional Fields tool in Google SecOps to convert the raw log entries to additional fields.
C. Deploy a third-party data pipeline management tool to ingest the logs, and transform the updated fields into fields supported by the default parser.
D. Write a code snippet, and deploy it in a parser extension to map both fields to UDM.

Answer: B

NEW QUESTION # 70
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