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Google GCP-SOE-B Exam Syllabus Topics:

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

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Google Security Operations Engineer (Beta) Sample Questions (Q74-Q79):

NEW QUESTION # 74
You are investigating whether an advanced persistent threat (APT) actor has operated in your organization's environment undetected. You have received threat intelligence that includes:
- A SHA256 hash for a malicious DLL
- A known command and control (C2) domain
- A behavior pattern where rundll32.exe spawns powershell.exe with obfuscated arguments Your Google Security Operations (SecOps) instance includes logs from EDR, DNS, and Windows Sysmon. However, you have recently discovered that process hashes are not reliably captured across all endpoints due to an inconsistent Sysmon configuration. You need to use Google SecOps to develop a detection mechanism that identifies the associated activities. What should you do?

A. Write a multi-event YARA-L detection rule that correlates the process relationship and hash, and run a retrohunt based on this rule.
B. Use Google SecOps search to identify recent uses of rundll32.exe, and tag affected assets for watchlisting.
C. Build a reference list that contains the hash and domain, and link the list to a high-frequency rule for near real-time alerting.
D. Create a single-event YARA-L detection rule based on the file hash, and run the rule against historical and incoming telemetry to detect the DLL execution.

Answer: A

NEW QUESTION # 75
Your organization uses Google Security Operations (SecOps). You need to identify the most commonly occurring processes and applications across your organization's large number of servers so you can implement baselines and exclusion lists on a regular basis. You want to use the most efficient approach. What should you do?

A. Run a UDM search, and review aggregations for relevant process-related UDM fields.
B. Review the Google SecOps SIEM Rules & Detections, and identify the most common processes appearing in alerts that are marked as false positives.
C. Generate a Google SecOps SIEM dashboard based on relevant UDM fields, such as processes, that provides the counts for process names and files.
D. Use the UDM lookup feature to identify relevant process- related UDM fields and values.

Answer: A

NEW QUESTION # 76
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 custom posture for your organization that combines the prebuilt Event Threat Detection and Security Health Analytics (SHA) detectors.
B. 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.
C. Create an Event Threat Detection custom module using the "Configurable Bad IP" template.
D. Create a Security Health Analytics (SHA) custom module using the compute address resource.

Answer: C

NEW QUESTION # 77
Which Google Cloud security feature MOST helps enforce the principle of least privilege at scale?

A. VPC Firewall Rules
B. IAM predefined roles and conditional IAM policies
C. Cloud NAT
D. Binary Authorization

Answer: B

NEW QUESTION # 78
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. 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.
C. Configure a detection rule in SIEM Rules & Detections to include logic to capture the event fields for each case with the relevant stage metrics.
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 # 79
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