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Google Security-Operations-Engineer Exam Overview:

Certification Vendor:	Google
Exam Name:	Google Cloud Certified - Professional Cloud Security Operations Engineer
Exam Number:	Security-Operations-Engineer
Exam Format:	Multiple select, Multiple choice
Passing Score:	Not publicly disclosed (pass/fail basis)
Available Languages:	Japanese, English
Real Exam Qty:	50-60
Exam Duration:	120 minutes
Related Certifications:	Google Cloud Certified - Professional Cloud Security Operations Engineer
Certificate Validity Period:	2 years
Exam Price:	USD 200
Sample Questions:	Google Security-Operations-Engineer Sample Questions
Exam Way:	Online proctored or at a testing center
Pre Condition:	Recommended: 3+ years of industry experience, including 1+ years designing and managing solutions using Google Cloud
Official Syllabus URL:	https://cloud.google.com/learn/certification/cloud-security-operations-engineer

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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	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 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.
Topic 5	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.

Google Cloud Certified - Professional Security Operations Engineer (PSOE) Exam Sample Questions (Q37-Q42):

NEW QUESTION # 37
You scheduled a Google Security Operations (SecOps) report to export results to a BigQuery dataset in your Google Cloud project. The report executes successfully in Google SecOps, but no data appears in the dataset. You confirmed that the dataset exists. How should you address this export failure?

A. Set a retention period for the BigQuery export.
B. Grant the Google SecOps service account the roles/iam.serviceAccountUser IAM role to itself.
C. Grant the user account that scheduled the report the roles/bigquery.dataEditor IAM role on the project.
D. Grant the Google SecOps service account the roles/bigquery.dataEditor IAM role on the dataset.

Answer: D

Explanation:
The export from Google SecOps to BigQuery requires that the SecOps service account has permission to write to the dataset. Granting the service account the roles/bigquery.dataEditor IAM role on the target dataset provides the necessary access to insert data, resolving the export failure.

NEW QUESTION # 38
You are using Google Security Operations (SecOps) to hunt for signs of lateral movement through Remote Desktop Protocol (RDP) in your organization. You suspect that a compromised account was used to access multiple internal systems within a short time window. You want to construct a UDM-based search to identify this activity. How should you build this query? (Choose two.)

A. Filter for RDP connections with non-standard ports.
B. Use a saved search to identify all events with the LATERAL_MOVEMENT tag over the past 30 days.
C. Correlate events based on the asset role or classification such as database or user workstation.
D. Filter for events using protocol-level attributes that indicate RDP connections.
E. Group events by user identity and time to identify repeated access patterns.

Answer: D,E

Explanation:
Filtering for events using protocol-level attributes that indicate RDP connections ensures that the search specifically targets RDP sessions.
Grouping events by user identity and time allows you to identify repeated access patterns, which is a strong indicator of lateral movement when a single account accesses multiple systems in a short timeframe.

NEW QUESTION # 39
Your organization is a Google Security Operations (SecOps) customer. You use Google Threat Intelligence to identify cyber threats within your organization's threat profile. You believe your organization may have been targeted by a cyber crime group. You need to identify whether your organization has been the victim of an attack. What should you do?

A. In the Reports & Analysis feature, extract the IOCs from the recent reports, and implement detection rules and lists in Google SecOps to identify whether they are present in your organization's environment.
B. Review the Threat Landscape feature to identify threat groups that are active in your industry, research their known MITRE ATT&CK tactics, techniques, and procedures (TTPs) and implement detection rules in Google SecOps.
C. In the Vulnerability Intelligence feature, identify new high and critical vulnerabilities in products or technologies that your organization uses so they can be patched.
D. Implement monitors in the Digital Threat Monitoring feature to identify new compromised credentials, dark web mentions, or data leaks.

Answer: A

Explanation:
To determine whether your organization has already been targeted or compromised by a cyber crime group, you need to take actionable intelligence (IOCs) and check your own environment for evidence of activity. In Google Threat Intelligence, the Reports & Analysis feature provides threat reports that include IOCs. By extracting those IOCs and implementing detection rules and lists in Google SecOps, you can search historical and current telemetry to identify whether the attack group has operated against your systems.

NEW QUESTION # 40
You received an alert from Container Threat Detection that an added binary has been executed in a business critical workload. You need to investigate and respond to this incident. What should you do? (Choose two.)

A. Review the finding, quarantine the cluster containing the running pod, and delete the running pod to prevent further compromise.
B. Silence the alert in the Security Command Center (SCC) console, as the alert is a low severity finding.
C. Review the finding, investigate the pod and related resources, and research the related attack and response methods.
D. Notify the workload owner. Follow the response playbook, and ask the threat hunting team to identify the root cause of the incident.
E. Keep the cluster and pod running, and investigate the behavior to determine whether the activity is malicious.

Answer: C,D

Explanation:
The correct response involves both notifying the workload owner and following the response playbook to ensure coordinated incident handling, and reviewing the finding while investigating the pod and related resources to understand the attack and determine the appropriate remediation. This approach ensures proper communication, structured incident response, and thorough technical investigation without prematurely deleting or silencing critical evidence.

NEW QUESTION # 41
Your team is responsible for cybersecurity for a large multinational corporation. You have been tasked with identifying unknown command and control nodes (C2s) that are potentially active in your organization's environment. You need to generate a list of potential matches within the next
24 hours. What should you do?

A. Load network records into BigQuery to identify endpoints that are communicating with domains outside three standard deviations of normal.
B. Write a YARA-L rule in Google Security Operations (SecOps) that compares network traffic of endpoints to low prevalence domains against recent WHOIS registrations.
C. Review Security Health Analytics (SHA) findings in Security Command Center (SCC).
D. Write a rule in Google Security Operations (SecOps) that scans historic network outbound connections against ingested threat intelligence Run the rule in a retrohunt against the full tenant.

Answer: D

Explanation:
The fastest and most effective way to identify unknown C2 nodes within 24 hours is to write a detection rule in Google SecOps that compares historic outbound connections against ingested threat intelligence, then run it as a retrohunt across the full tenant. Retrohunt enables rapid scanning of past telemetry at scale to surface potential matches without waiting for new events to occur.

NEW QUESTION # 42
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