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Google Security-Operations-Engineer Exam Overview:

Certification Vendor:	Google Cloud
Exam Name:	Professional Security Operations Engineer Exam
Exam Number:	Professional Security Operations Engineer (PSO Engineer)
Exam Duration:	120 minutes
Related Certifications:	Google Cloud Certified - Associate Cloud Engineer Google Cloud Certified - Professional Cloud Security Engineer
Exam Format:	Multiple choice, Multiple select
Certificate Validity Period:	2 years
Real Exam Qty:	Approximately 50–60 questions
Exam Price:	$200 USD (may vary by region)
Available Languages:	Japanese, English
Recommended Training:	Google Cloud Security Engineer Learning Path Google Cloud Security Operations Training
Exam Registration:	Google Cloud Certification Registration Kryterion Webassessor Exam Scheduling
Sample Questions:	Google Security-Operations-Engineer Sample Questions
Exam Way:	Online proctored or test center (Kryterion/Webassessor)
Pre Condition:	Recommended: 3+ years industry experience in security operations or SOC roles, and 1+ year experience with Google Cloud security technologies
Official Syllabus URL:	https://cloud.google.com/certification/security-operations-engineer

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Google Security-Operations-Engineer Exam Syllabus Topics:

Topic	Details
Topic 1	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 2	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 3	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 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.

Google Cloud Certified - Professional Security Operations Engineer (PSOE) Exam Sample Questions (Q120-Q125):

NEW QUESTION # 120
You are creating a playbook for the SOC. The SOC requires that each Google Security Operations (SecOps) role sees different information for the alert that the playbook runs on. You need to ensure that the playbook presents the relevant information for each Google SecOps role.
What should you do?

A. Add the Case Comment action to the playbook for each Google SecOps role.
B. Add the Create Siemplify Task action to the playbook to assign a task to each Google SecOps role.
C. Add the Add General insight action to the playbook for each Google SecOps role.
D. Add a view to the playbook for each Google SecOps role.

Answer: D

Explanation:
The correct approach is to add a view to the playbook for each Google SecOps role. Views allow you to control what information is displayed based on the role, ensuring that each SOC role only sees the relevant details for their responsibilities during alert handling.

NEW QUESTION # 121
You are the lead engineer on your organization's incident response team. You are running CrowdStrike Falcon and SentinelOne to protect the Windows devices in different regions of your organization. You are ingesting the following logs into Google Security Operations (SecOps):
- Azure AD Directory Audit (AZURE_AD_AUDIT)
- Crowdstrike Falcon (CS_EDR)
- Microsoft Sysmon (WINDOWS_SYSMON)
- SentinelOne (SENTINEL_EDR)
- Windows Event (WINEVTLOG)
You notice that a high volume of ransomware incidents are impacting your team's SLAs. You need to automate the response to ransomware on Windows devices. How should you automate the detection and containment of ransomware incidents? (Choose two.)

A. Install a SOAR remote agent on each Windows device for endpoint containment actions. Create a playbook to contain impacted Windows devices based on curated detections.
B. Install SOAR EDR integrations for endpoint containment actions. Create a playbook to contain impacted Windows devices based on curated detections.
C. Enable the Risk Analytics for User and Endpoint Behavioral Analytics (UEBA) category in curated detections to detect peer group-based anomalous behavior and suspicious actions.
D. Enable the Windows Threats category in curated detections to detect the latest Windows threats.
E. Install SOAR EDR jobs to execute remote endpoint containment actions. Create a playbook to contain impacted Windows devices based on curated detections.

Answer: B,D

Explanation:
Enabling the Windows Threats category in curated detections ensures that the latest ransomware and other Windows-specific threats are automatically detected without creating custom rules, improving detection speed.
Installing SOAR EDR integrations allows automated containment actions (e.g., isolating impacted endpoints). Creating a playbook based on these curated detections automates response to ransomware incidents, reducing SLA impact and manual effort.

NEW QUESTION # 122
Your company uses Google Security Operations (SecOps) Enterprise and is ingesting various logs. You need to proactively identify potentially compromised user accounts. Specifically, you need to detect when a user account downloads an unusually large volume of data compared to the user's established baseline activity.
You want to detect this anomalous data access behavior using minimal effort. What should you do?

A. Develop a custom YARA-L detection rule in Google SecOps that counts download bytes per user per hour and triggers an alert if a threshold is exceeded.
B. Inspect Security Command Center (SCC) default findings for data exfiltration in Google SecOps.
C. Enable curated detection rules for User and Endpoint Behavioral Analytics (UEBA), and use the Risk Analytics dashboard in Google SecOps to identify metrics associated with the anomalous activity.
D. Create a log-based metric in Cloud Monitoring, and configure an alert to trigger if the data downloaded per user exceeds a predefined limit. Identify users who exceed the predefined limit in Google SecOps.

Answer: C

Explanation:
The requirement to detect activity that is *unusual* compared to a *user's established baseline* is the precise definition of **User and Endpoint Behavioral Analytics (UEBA)**. This is a core capability of Google Security Operations Enterprise designed to solve this exact problem with **minimal effort**.
Instead of requiring analysts to write and tune custom rules with static thresholds (like in Option A) or configure external metrics (Option B), the UEBA engine automatically models the behavior of every user and entity. By simply **enabling the curated UEBA detection rulesets**, the platform begins building these dynamic baselines from historical log data.
When a user's activity, such as data download volume, significantly deviates from their *own* normal, established baseline, a UEBA detection (e.g., `Anomalous Data Download`) is automatically generated. These anomalous findings and other risky behaviors are aggregated into a risk score for the user. Analysts can then use the **Risk Analytics dashboard** to proactively identify the highest-risk users and investigate the specific anomalous activities that contributed to their risk score. This built-in, automated approach is far superior and requires less effort than maintaining static, noisy thresholds.
*(Reference: Google Cloud documentation, "User and Endpoint Behavioral Analytics (UEBA) overview";
"UEBA curated detections list"; "Using the Risk Analytics dashboard")*

NEW QUESTION # 123
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. Perform a UDM search for the file checksum in Google Security Operations (SecOps). Review activities that are associated with, or attributed to, the malware.
B. Run a Google Web Search for the malware hash, and review the results.
C. Search for the malware hash in Google Threat Intelligence, and review the results.
D. Create a Compute Engine VM, and perform dynamic and static malware analysis.

Answer: C

Explanation:
The correct answer is A. The most effective and reliable method for a security engineer to "find reliable IoCs and malware behaviors" is to use Google Threat Intelligence (GTI). When a known indicator like a file hash is identified, the primary workflow is threat enrichment. Google Threat Intelligence, which is a core component of the Google SecOps platform and incorporates intelligence from Mandiant and VirusTotal, is the dedicated tool for this. Searching the hash in GTI provides a comprehensive report on the malware variant, including all associated reliable IoCs (e.g., C2 domains, IP addresses, related file hashes) and malware behaviors (TTPs, attribution, and context). This directly fulfills the user's need.
In contrast, Option D (UDM search) is the subsequent step. A UDM search is used to hunt for indicators within your own organization's logs. An engineer would first use GTI to gather the full list of IoCs and behaviors, and then use UDM search to hunt for all of those indicators across their environment. Option B (Web Search) is unreliable for professional operations, and Option C (manual analysis) is too slow for a
"common malware variant" and the need to act "quickly."
(Reference: Google Cloud documentation, "Google Threat Intelligence overview"; "Investigating threats using Google Threat Intelligence"; "View IOCs using Applied Threat Intelligence")

NEW QUESTION # 124
You are managing the integration of Security Command Center (SCC) with downstream tooling. You need to pull security findings from SCC and import those findings as part of Google Security Operations (SecOps) SOAR actions. You need to configure the connection between SCC and Google SecOps.

A. Install the SCC integration from the Google SecOps Marketplace. Grant the SCC API the appropriate IAM roles to integrate with the Google SecOps instance. Configure this integration using a generated API key scoped to the SCC API.
B. Create a Pub/Sub topic with a NotificationConfig object and a push subscription for the desired finding types. Grant the Google SecOps service account the appropriate IAM roles to read from this subscription.
C. Create a Pub/Sub topic with a NotificationConfig object and a push subscription for the desired finding types. Create a new Google SecOps service account in the Google Cloud project, and grant this service account the appropriate IAM roles to read from this subscription. Export the credentials from IAM and import the credentials into Google SecOps SOAR.
D. Install the Google Rapid Response integration from the Google SecOps Marketplace. Gather information about the findings from the appropriate server.

Answer: A

Explanation:
Comprehensive and Detailed 150 to 250 words of Explanation From Exact Extract Google Security Operations Engineer documents:
To import findings specifically for Google SecOps SOAR actions (formerly Siemplify), you utilize the Marketplace Integrations.
The standard procedure for connecting external alerts to the SOAR platform is to install the specific integration (connector) from the Marketplace. The documentation states: "Google Security Operations SOAR includes a Marketplace where you can find and install integrations... The Google Cloud Security Command Center integration allows you to ingest findings as alerts." The configuration involves enabling the integration instance and providing authentication credentials (often a Service Account Key or API Key depending on the specific integration version and endpoint). Option B correctly identifies the "Install the SCC integration from the Google SecOps Marketplace" step as the primary mechanism for SOAR ingestion.
Options C and D describe the architecture for ingesting logs into the SIEM (Detection/Chronicle) layer using Pub/Sub feeds, rather than the API-based polling or fetching used by SOAR integrations to create cases.
References: Google Security Operations Documentation > Marketplace > Manage integrations; Google Security Operations Documentation > Integrations > Google Cloud Security Command Center

NEW QUESTION # 125
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