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[General] 2026 Google Security-Operations-Engineer Useful Exam Reviews

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【General】 2026 Google Security-Operations-Engineer Useful Exam Reviews

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Google Security-Operations-Engineer Exam Syllabus Topics:
TopicDetails
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
  • 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 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
  • 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 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 (Q10-Q15):NEW QUESTION # 10
You have identified a common malware variant on a potentially infected computer. You need to find reliable IOCs and malware behaviors as quickly as possible to confirm whether the computer is infected and search for signs of infection on other computers. What should you do?
  • A. Search for the malware hash in Google Threat Intelligence, and review the results.
  • B. Create a Compute Engine VM, and perform dynamic and static malware analysis.
  • C. Run a Google Web Search for the malware hash, and review the results.
  • D. Perform a UDM search for the file checksum in Google Security Operations (SecOps). Review activities that are associated with, or attributed to the malware.
Answer: A
Explanation:
The fastest and most reliable method is to search for the malware hash in Google Threat Intelligence. GTI provides curated, up-to-date IOCs and documented malware behaviors, enabling you to confirm the infection quickly and extend the search across other computers in your environment.

NEW QUESTION # 11
Your company uses Cloud Identity to manage employee identities and has Google Security Operations (SecOps) linked to your Google Cloud project. You have assigned the roles/chronicle.viewer IAM role at the project level to a specific Google Group that contains users with external Google accounts. Users in this external group authenticate successfully to Google Cloud, but are unable to access Google SecOps. Internal users granted the same role can access Google SecOps. What Google Cloud configuration is most likely preventing the external users from accessing Google SecOps?
  • A. The constraints/iam.allowedPolicyMemberDomains organization policy is restricting IAM role assignments to identities within your company domain only.
  • B. External users must be synchronized to Cloud Identity using Google Cloud Directory Sync (GCDS) for IAM roles to take effect.
  • C. The roles/chronicle.viewer IAM role does not apply correctly when granted to Google Groups containing external identities.
  • D. Google SecOps inherently blocks sign-ins from identities outside the organization's primary domain.
Answer: A
Explanation:
The most likely cause is the constraints/iam.allowedPolicyMemberDomains organization policy.
This policy can restrict IAM role assignments to identities within specific domains, preventing external users from accessing Google SecOps even if they are in a Google Group granted the role. Internal users are unaffected because their identities match the allowed domain.

NEW QUESTION # 12
Your company is adopting a multi-cloud environment. You need to configure comprehensive monitoring of threats using Google Security Operations (SecOps). You want to start identifying threats as soon as possible.
What should you do?
  • A. Use curated detections for Applied Threat Intelligence to monitor your company's cloud environment.
  • B. Use curated detections from the Cloud Threats category to monitor your cloud environment.
  • C. Use Gemini to generate YARA-L rules for multi-cloud use cases.
  • D. Ask Cloud Customer Care to provide a set of rules recommended by Google to monitor your company's cloud environment.
Answer: B
Explanation:
Comprehensive and Detailed Explanation
The correct solution is Option B. The key requirements are "comprehensive monitoring" and "as soon as possible" in a "multi-cloud environment." Google Security Operations provides Curated Detections, which are out-of-the-box, fully managed rule sets maintained by the Google Cloud Threat Intelligence (GCTI) team. These rules are designed to provide immediate value and broad threat coverage without requiring manual rule writing, tuning, or maintenance.
Within the curated detection library, the Cloud Threats category is the specific rule set designed to detect threats against cloud infrastructure. This category is not limited to Google Cloud; it explicitly includes detections for anomalous behaviors, misconfigurations, and known attack patterns across multi-cloud environments, including AWS and Azure.
Enabling this category is the fastest and most effective way to meet the requirement. Option A (using Gemini) requires manual effort to generate, validate, and test rules. Option C (Applied Threat Intelligence) is a different category that focuses primarily on matching known, high-impact Indicators of Compromise (IOCs) from GCTI, which is less comprehensive than the behavior-based rules in the "Cloud Threats" category.
Option D is procedurally incorrect; Customer Care provides support, but detection content is delivered directly within the SecOps platform.
Exact Extract from Google Security Operations Documents:
Google SecOps Curated Detections: Google Security Operations provides access to a library of curated detections that are created and managed by Google Cloud Threat Intelligence (GCTI). These rule sets provide a baseline of threat detection capabilities and are updated continuously.
Curated Detection Categories: Detections are grouped into categories that you can enable based on your organization's needs and data sources. The 'Cloud Threats' category provides broad coverage for threats targeting cloud environments. This rule set includes detections for anomalous activity and common attack techniques across GCP, AWS, and Azure, making it the ideal choice for securing a multi-cloud deployment.
Enabling this category allows organizations to start identifying threats immediately.
References:
Google Cloud Documentation: Google Security Operations > Documentation > Detections > Curated detections > Curated detection rule sets Google Cloud Documentation: Google Security Operations > Documentation > Detections > Curated detections > Cloud Threats rule set

NEW QUESTION # 13
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 VirusTotal table in the entity graph.
  • B. Create a YARA-L rule in Google Security Operations (SecOps) to track matches between the ingested EDR log entries and the entity graph.
  • C. Push endpoint logs to BigQuery and use scripts to compare entries to Google Threat intelligence by using a Google Threat Intelligence API key.
  • D. Use custom modules in Event Threat Detection in Security Command Center (SCC) to correlate feed data with Google Cloud logs.
Answer: B
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 # 14
You are using Google Security Operations (SecOps) to investigate suspicious activity linked to a specific user. You want to identify all assets the user has interacted with over the past seven days to assess potential impact. You need to understand the user's relationships to endpoints, service accounts, and cloud resources.
How should you identify user-to-asset relationships in Google SecOps?
  • A. Query for hostnames in UDM Search and filter the results by user.
  • B. Use the Raw Log Scan view to group events by asset ID.
  • C. Generate an ingestion report to identify sources where the user appeared in the last seven days.
  • D. Run a retrohunt to find rule matches triggered by the user.
Answer: A
Explanation:
The primary investigation tool for exploring relationships and historical activity in Google Security Operations is the UDM (Universal Data Model) search. The platform's curated views, such as the "User View," are built on top of this search capability.
To find all assets a user has interacted with, an analyst would perform a UDM search for the specific user (e.
g., principal.user.userid = "suspicious_user") over the specified time range. The search results will include all UDM events associated with that user. Within these events, the analyst can examine all populated asset fields, such as principal.asset.hostname, principal.ip, target.resource.name, and target.user.userid (for interactions with service accounts).
This UDM search allows the analyst to pivot from the user entity to all related asset entities, directly answering the question of "what assets the user has interacted with." While the wording of Option A is slightly backward (it's more efficient to query for the user and find the hostnames), it is the only option that correctly identifies the UDM search as the tool used to find user-to-asset (hostname) relationships. Options B (Retrohunt), C (Raw Log Scan), and D (Ingestion Report) are incorrect tools for this investigative task.
(Reference: Google Cloud documentation, "Google SecOps UM Search overview"; "Investigate a user"; " Universal Data Model noun list")

NEW QUESTION # 15
......
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