Google Security-Operations-Engineer - Google Cloud Certified - Professional Security Operations Engineer (PSOE) Exam

Google Security-Operations-Engineer Actual PDF

Exam Code: Security-Operations-Engineer
Exam Name: Google Cloud Certified - Professional Security Operations Engineer (PSOE) Exam
Updated: Oct 16, 2026
Q & A: 143 Questions and Answers

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Google Security-Operations-Engineer Exam Syllabus Topics:

Topic	Details
Topic 1	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 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	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	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.

Reference: https://cloud.google.com/learn/certification/security-operations-engineer

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

Question #1

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. Use a custom parser that outputs all fields as raw JSON for detection.
C. Create a parser extension that maps the missing source fields to the correct UDM fields and attach it to the existing parser.
D. Modify the ingestion source definition to remap raw fields directly to UDM by using the UDM sample output.

Reveal Solution Discussion 0

Correct Answer: C 🗳️