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Google Security-Operations-Engineer Exam Syllabus Topics:

Topic	Details
Topic 1	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.
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	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 4	Detection Engineering: This section of the exam measures the skills of Detection Engineers and focuses on developing and fine-tuning detection mechanisms for risk identification. It involves designing and implementing detection rules, assigning risk values, and leveraging tools like Google SecOps Risk Analytics and SCC for posture management. Candidates learn to utilize threat intelligence for alert scoring, reduce false positives, and improve rule accuracy by integrating contextual and entity-based data, ensuring strong coverage against potential threats.
Topic 5	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.

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Google Cloud Certified - Professional Security Operations Engineer (PSOE) Exam Sample Questions (Q53-Q58):

NEW QUESTION # 53
Your company's SOC analysts frequently submit manual change requests to a system administrator to make changes to the firewall rules on a specific router. You have the integration for the firewall installed and configured with credentials. You want to use the integration to trigger firewall rule changes directly from the Google Security Operations (SecOps) SOAR. Your system administrator requires the ability to manually approve the requested changes prior to deployment.
How should you implement the workflow for analysts to trigger on demand?

A. Create a request in the Google SecOps SOAR settings that includes a field for the firewall rule.Create a playbook that is triggered by this request. Configure the playbook step that makes the firewall rule change to send an approval request from the system administrator. The approval request must include the parameter being changed.
B. Create an account for the system administrator in your Google SecOps instance to allow the system administrator to make the changes from Google SecOps directly. Add an escalation step to enable the analyst to assign the case to the system administrator.
C. Create an email template for the analyst to get approval for the change from the system administrator. Have the analyst fill out the needed fields, and send the email for approval. Once approved, use a manual action to make the change to the firewall rule from any open case.
D. Create a playbook where the firewall rule change is a manual step, allowing the analyst to edit the firewall rule as a pending action. Have the analyst email the system administrator with the change. Once approved, the analyst lets the playbook continue.

Answer: A

Explanation:
The best approach is to create a SOAR request with a field for the firewall rule and trigger a playbook based on that request. Configure the playbook so that the firewall rule change step requires approval from the system administrator, including the relevant parameters. This allows analysts to initiate changes on demand while ensuring that all modifications are reviewed and approved before deployment, automating the workflow while respecting the approval requirement.

NEW QUESTION # 54
Your company recently started pulling JSON logs from a third-party system into Google Security Operations (SecOps). You noticed that some fields are missing, and you want to parse them into UDM fields as quickly as possible. What should you do?

A. Create parser extensions using the code snippet approach.
B. Configure auto extraction to add the additional fields.
C. Create parser extensions using the no-code approach.
D. Submit a parser improvement request to Cloud Customer Care.

Answer: C

Explanation:
The fastest way to handle missing fields in JSON logs is to create parser extensions using the no- code approach in Google SecOps. This allows you to quickly map additional fields into UDM without writing code or waiting on support requests, ensuring rapid parsing and normalization of the third-party logs.

NEW QUESTION # 55
Your team hunts for threats in a large multinational corporation. You have subscriptions to threat intelligence feeds from third-party sources. You want to implement a solution to continuously compare DNS calls on endpoints to your threat intelligence feeds. What should you do?

A. Create a YARA-L rule in Google Security Operations (SecOps) to track matches between the ingested EDR log entries and the entity graph.
B. Use custom modules in Event Threat Detection in Security Command Center (SCC) to correlate feed data with Google Cloud logs.
C. Create a YARA-L rule in Google Security Operations (SecOps) to track matches between the ingested EDR log entries and the VirusTotal table in the entity graph.
D. Push endpoint logs to BigQuery and use scripts to compare entries to Google Threat intelligence by using a Google Threat Intelligence API key.

Answer: A

Explanation:
The best solution is to create a YARA-L rule in Google SecOps that correlates ingested EDR log entries (including DNS calls) with the entity graph populated by your threat intelligence feeds.
This enables continuous monitoring and automated detection of endpoint activity that matches known malicious domains or indicators, supporting proactive threat hunting at scale.

NEW QUESTION # 56
Your team has onboarded a new log source from a third-party DNS filtering solution. After ingestion, you observe that key UDM fields such as network.dns.questions.name and metadata.product_event_type are missing from the parsed events in Google Security Operations (SecOps). You suspect that the default parser does not fully align with the source format. You need to ensure these fields are available for downstream detection rules that rely on DNS query telemetry and event categorization. What should you do?

A. Enable asset enrichment for the log source to infer missing fields based on correlated host activity.
B. Create a parser extension that maps the missing source fields to the correct UDM fields and attach it to the existing parser.
C. Modify the ingestion source definition to remap raw fields directly to UDM by using the UDM sample output.
D. Use a custom parser that outputs all fields as raw JSON for detection.

Answer: B

Explanation:
The correct approach is to create a parser extension that maps the missing source fields (e.g., DNS query names and event type) to the appropriate UDM fields and attach it to the existing parser. Parser extensions allow you to customize field mappings without replacing the default parser, ensuring that downstream detections relying on DNS telemetry and event categorization work correctly.

NEW QUESTION # 57
You work for an organization that operates an ecommerce platform. You have identified a remote shell on your company's web host. The existing incident response playbook is outdated and lacks specific procedures for handling this attack. You want to create a new, functional playbook that can be deployed as soon as possible by junior analysts. You plan to use available tools in Google Security Operations (SecOps) to streamline the playbook creation process. What should you do?

A. Use Gemini to generate a playbook based on a template from a standard incident response plan and implement automated scripts to filter network traffic based on known malicious IP addresses.
B. Create a new custom playbook based on industry best practices, and work with an offensive security team to test the playbook against a simulated remote shell alert.
C. Use the playbook creation feature in Gemini, and enter details about the intended objectives. Add the necessary customizations for your environment, and test the generated playbook against a simulated remote shell alert.
D. Add instruction actions to the existing incident response playbook that include updated procedures with steps that should be completed. Have a senior analyst build out the playbook to include those new procedures.

Answer: C

Explanation:
The fastest and most effective way to create a functional playbook for junior analysts is to use Gemini's playbook creation feature, provide the intended objectives, and then customize it for your environment. Testing the generated playbook against a simulated remote shell alert ensures it is practical and ready for deployment, streamlining creation while leveraging Google SecOps tools.

NEW QUESTION # 58
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