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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	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 3	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 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	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.

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Google Cloud Certified - Professional Security Operations Engineer (PSOE) Exam Sample Questions (Q17-Q22):

NEW QUESTION # 17
You are a security analyst at an organization that uses Google Security Operations (SecOps).
You have identified a new IP address that is known to be used by a malicious threat actor to launch network attacks. You need to search for this IP address in Google SecOps using all normalized logs to determine whether any malicious activity has occurred. You want to use the most effective approach. What should you do?

A. Write a YARA-L 2.0 detection rule that searches for events with the IP address.
B. Write UDM searches using YARA-L 2.0 syntax to find events where the IP address appears.
C. On the Alerts & IOCs page, review results and entries where the IP address appears.
D. Run raw log searches using the IP address as a search term.

Answer: B

Explanation:
The most effective way to search across all normalized logs in Google SecOps is to use UDM searches with YARA-L 2.0 syntax. This ensures that the IP address is matched across all normalized log sources in a consistent format.

NEW QUESTION # 18
Your organization plans to ingest logs from an on-premises MySQL database as a new log source into its Google Security Operations (SecOps) instance. You need to create a solution that minimizes effort. What should you do?

A. Configure and deploy a Google SecOps forwarder.
B. Configure direct ingestion from your Google Cloud organization.
C. Configure a third-party API feed in Google SecOps.
D. Configure and deploy a Bindplane collection agent.

Answer: A

Explanation:
To ingest logs from an on-premises source like MySQL into Google Security Operations (SecOps), you need a secure and supported way to forward those logs to the cloud. The recommended method is to deploy a Google SecOps forwarder on-premises. The forwarder collects logs from local sources (databases, syslog, etc.) and securely sends them to SecOps.

NEW QUESTION # 19
You are a security analyst at a company that uses Google Security Operations (SecOps) Enterprise. Security Command Center Enterprise (SCCE), and Google Threat Intelligence (GTI).
You need to leverage threat intelligence to improve threat hunting capabilities to proactively identify novel and emerging attack patterns targeting your Google Cloud environment in near real-time. What should you do?

A. Use the built-in threat intelligence of Event Threat Detection in SCCE to detect relevant threats.
B. Configure an Applied Threat Intelligence Fusion Feed in Google SecOps, and develop YARA-L detection rules to search ingested Google Cloud telemetry for patterns matching this intelligence.
C. Configure Google Cloud Armor security policies with preconfigured web application firewall (WAF) rule sets, and enable Adaptive Protection to use GTI.
D. Route all Google Cloud logs to a dedicated BigQuery dataset, and use scheduled queries with curated open-source threat intelligence feeds.

Answer: B

Explanation:
The correct solution is to configure an Applied Threat Intelligence Fusion Feed in Google SecOps and then develop YARA-L detection rules to search your Google Cloud telemetry for attack patterns tied to this intelligence. This enables proactive, near real-time hunting of novel and emerging threats by correlating threat intelligence with your organization's ingested data.

NEW QUESTION # 20
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 2 answers

A. Verify that the response is accurate by manually checking the URL in VirusTotal.
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. Create a widget that translates the JSON output to a severity score.
E. Pass the response back to the SIEM.

Answer: B,C

Explanation:
Comprehensive and Detailed Explanation
The goal is to automate a decision-making process within a SOAR playbook based on data from an integration. This requires two steps: getting the specific data point (Option E) and then using it in a logical operator (Option A).
* Get the Data Point (Option E): The VirusTotal integration returns a detailed JSON object. The most critical data point for determining maliciousness is the number of detections (i.e., how many scanning engines flagged the URL). The playbook must parse this specific value from the JSON output.
* Use the Data in Logic (Option A): Once the playbook has the number of detections, it must use a conditional statement (an "If/Then" block) to act on it. This logic is how the playbook makes a recommendation and sets the severity. For example: IF number_of_detections > 3, THEN set severity to CRITICAL and add a comment URL is suspicious. ELSE, set severity to LOW and add a comment URL appears benign.
Option C is incorrect as it describes a manual process, which defeats the purpose of automation. Option D is incorrect as widgets are for displaying data in the case UI, not for executing logic within a playbook.
Exact Extract from Google Security Operations Documents:
Playbook logic and conditional actions: SOAR playbooks execute a series of actions to automate incident response. A core component of this automation is the conditional statement. After an enrichment action (like querying VirusTotal) runs, the playbook can use a conditional block to evaluate the results.
The playbook can parse the JSON output from the integration to extract key values, such as the number of positive detections. This value can then be used in the conditional (e.g., IF detections > 0) to determine the next step, such as setting the alert's severity, escalating to an analyst, or automatically determining if an indicator should be treated as suspicious or benign.
References:
Google Cloud Documentation: Google Security Operations > Documentation > SOAR > Playbooks > Playbook logic and conditional actions Google Cloud Documentation: Google Security Operations > Documentation > SOAR > Marketplace integrations > VirusTotal v3

NEW QUESTION # 21
You have identified a new threat actor group that has several IOCs in Google Threat Intelligence.
You want to use some of these IOCs in several detection rules in Google Security Operations (SecOps) to help identify suspicious activity. You want to use the most effective approach. What should you do?

A. Identify the detection rules that apply to the new IOCs, and update the YARA-L logic to reference the threat actor group.
B. Configure a new data feed in Google SecOps that includes the IOCs. Update the YARA-L logic to reference the new IOCs against applicable UDM fields.
C. Add the IOCs to a new or existing reference list, and update the YARA-L logic of detection rules to include the reference list.
D. Save the IOCs in a new collection in Google Threat Intelligence. Share this list with other members of the security team to facilitate their searches and rule creation.

Answer: C

Explanation:
The most effective approach is to add the IOCs to a reference list in Google SecOps and then update the YARA-L logic of your detection rules to reference that list. This centralizes the IOCs for reuse across multiple rules, simplifies maintenance, and ensures consistency in detection logic without duplicating IOC entries in multiple places.

NEW QUESTION # 22
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