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Google Security-Operations-Engineer Exam Syllabus Topics:

Topic	Details
Topic 1	Data Management: This section of the exam measures the skills of Security Analysts and focuses on effective data ingestion, log management, and context enrichment for threat detection and response. It evaluates candidates on setting up ingestion pipelines, configuring parsers, managing data normalization, and handling costs associated with large-scale logging. Additionally, candidates demonstrate their ability to establish baselines for user, asset, and entity behavior by correlating event data and integrating relevant threat intelligence for more accurate monitoring.
Topic 2	Threat Hunting: This section of the exam measures the skills of Cyber Threat Hunters and emphasizes proactive identification of threats across cloud and hybrid environments. It tests the ability to create and execute advanced queries, analyze user and network behaviors, and develop hypotheses based on incident data and threat intelligence. Candidates are expected to leverage Google Cloud tools like BigQuery, Logs Explorer, and Google SecOps to discover indicators of compromise (IOCs) and collaborate with incident response teams to uncover hidden or ongoing attacks.
Topic 3	Monitoring and Reporting: This section of the exam measures the skills of Security Operations Center (SOC) Analysts and covers building dashboards, generating reports, and maintaining health monitoring systems. It focuses on identifying key performance indicators (KPIs), visualizing telemetry data, and configuring alerts using tools like Google SecOps, Cloud Monitoring, and Looker Studio. Candidates are assessed on their ability to centralize metrics, detect anomalies, and maintain continuous visibility of system health and operational performance.
Topic 4	Incident Response: This section of the exam measures the skills of Incident Response Managers and assesses expertise in containing, investigating, and resolving security incidents. It includes evidence collection, forensic analysis, collaboration across engineering teams, and isolation of affected systems. Candidates are evaluated on their ability to design and execute automated playbooks, prioritize response steps, integrate orchestration tools, and manage case lifecycles efficiently to streamline escalation and resolution processes.
Topic 5	Platform Operations: This section of the exam measures the skills of Cloud Security Engineers and covers the configuration and management of security platforms in enterprise environments. It focuses on integrating and optimizing tools such as Security Command Center (SCC), Google SecOps, GTI, and Cloud IDS to improve detection and response capabilities. Candidates are assessed on their ability to configure authentication, authorization, and API access, manage audit logs, and provision identities using Workforce Identity Federation to enhance access control and visibility across cloud systems.

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Google Cloud Certified - Professional Security Operations Engineer (PSOE) Exam Sample Questions (Q121-Q126):

NEW QUESTION # 121
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. 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.
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. Use Google SecOps search to identify recent uses of rundll32.exe, and tag affected assets for watchlisting.

Answer: A

Explanation:
Since process hashes are not consistently available across all endpoints, relying solely on the DLL hash would miss activity. The best solution is to write a multi-event YARA-L detection rule that correlates the process relationship (rundll32.exe spawning powershell.exe with obfuscated arguments) together with the C2 domain and hash when available, and run a retrohunt. This approach detects both behavior-based and IOC-based indicators, ensuring coverage even when hashes are missing.

NEW QUESTION # 122
Your organization uses Google Security Operations (SecOps) for security analysis and investigation. Your organization has decided that all security cases related to Data Loss Prevention (DLP) events must be categorized with a defined root cause specific to one of five DLP event types when the case is closed in Google SecOps. How should you achieve this?

A. Customize the Close Case dialog and add the five DLP event types as root cause options.
B. Create a Google SecOps SOAR playbook that automatically assigns case tags where each tag contains the unique definition of one of the five DLP event types.
C. Customize the Case Name format to include the DLP event type.
D. Create case tags in Google SecOps SOAR where each tag contains a unique definition of each of the five DLP event types, and have analysts assign them to cases manually.

Answer: A

Explanation:
The Google Security Operations (SecOps) SOAR platform provides a native feature to enforce data collection at the end of an incident's lifecycle. The most effective and standard method to ensure analysts "must be categorized" is to customize the Close Case dialog.
This built-in feature allows an administrator to modify the pop-up window that appears when an analyst clicks the "Close Case" button in the UI. For this use case, the administrator would add a new custom field, such as a dropdown list titled "DLP Root Cause." This field would then be populated with the "five DLP event types" as the selectable options.
Crucially, this new field can be marked as mandatory. This configuration forces the analyst to select one of the five predefined root causes before the case can be successfully closed. This method ensures 100% compliance with the requirement, captures structured data for later reporting and metrics, and is the standard, low-maintenance solution. Using tags (Option B) is not mandatory and is prone to human error. Customizing the case name (Option A) is not a structured data field and is not enforceable.
(Reference: Google Cloud documentation, "Google SecOps SOAR overview"; "Customize case closure reasons"; "Case and Alert Customizations")

NEW QUESTION # 123
You manage a large fleet of Compute Engine instances. Security Health Analytics (SHA) has generated a CONFIDENTIAL_COMPUTING_DISABLED finding within Security Command Center (SCC). You need to quickly remediate this finding. What should you do?

A. Delete the offending VM instance, and manually mark the finding as inactive.
B. Delete the offending VM instance, and mute the finding.
C. Delete the offending VM instance, and allow the finding to be automatically marked as inactive.
D. Delete the offending VM instance, and disable the SHA detector.

Answer: C

Explanation:
When you delete the offending VM instance, the related SHA finding will be automatically marked as inactive in Security Command Center (SCC). This is the correct and efficient way to remediate the finding without manually muting or disabling detectors, ensuring the issue is resolved and tracked properly.

NEW QUESTION # 124
You work for an organization that uses Security Command Center (SCC) with Event Threat Detection (ETD) enabled. You need to enable ETD detections for data exfiltration attempts from designated sensitive Cloud Storage buckets and BigQuery datasets. You want to minimize Cloud Logging costs. What should you do?

A. Enable "data read" and "data write" audit logs only for the designated sensitive Cloud Storage buckets and BigQuery datasets.
B. Enable "data read" and "data write" audit logs for all Cloud Storage buckets and BigQuery datasets throughout the organization.
C. Enable "data read" audit logs only for the designated sensitive Cloud Storage buckets and BigQuery datasets.
D. Enable VPC Flow Logs for the VPC networks containing resources that access the sensitive Cloud Storage buckets and BigQuery datasets.

Answer: C

Explanation:
To detect data exfiltration attempts from sensitive Cloud Storage buckets and BigQuery datasets using ETD, you only need "data read" audit logs. These logs capture access and read events (which indicate potential exfiltration). Enabling them only for the designated sensitive resources minimizes Cloud Logging costs while still providing the necessary visibility for detections.

NEW QUESTION # 125
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. 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.
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. 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.

Answer: A

Explanation:
The correct approach is to configure Case Stages in Google SecOps SOAR settings and use the Change Case Stage action in playbooks. This automatically captures time metrics whenever a case stage changes, aligning with your incident response plan while minimizing maintenance overhead, since timing data is recorded natively without requiring custom jobs or dashboards.

NEW QUESTION # 126
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