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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	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	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 (Q91-Q96):

NEW QUESTION # 91
You are using Google Security Operations (SecOps) to identify and report a repetitive sequence of brute force SSH login attempts on a Compute Engine image that did not result in a successful login. You need to gain visibility into this activity while minimizing impact on your ingestion quota.
Which log type should you ingest into Google SecOps?

A. Security Command Center Premium (SCCP) findings
B. VPC Flow Logs
C. Cloud IDS logs
D. Cloud Audit Logs

Answer: B

Explanation:
VPC Flow Logs provide network-level visibility into traffic such as repetitive SSH connection attempts, regardless of login success. Ingesting VPC Flow Logs lets you identify brute force patterns while minimizing ingestion volume, since you don't need full authentication logs or Cloud Audit Logs for unsuccessful login attempts. This approach gives you the necessary insight into SSH brute force activity without high log ingestion costs.

NEW QUESTION # 92
You are receiving security alerts from multiple connectors in your Google Security Operations (SecOps) instance. You need to identify which IP address entities are internal to your network and label each entity with its specific network name. This network name will be used as the trigger for the playbook. What should you do?

A. Modify the entity attribute in the alert overview.
B. Create an outcome variable in the rule to assign the network name.
C. Enrich the IP address entities as the initial step of the playbook.
D. Configure each network in the Google SecOps SOAR settings.

Answer: C

Explanation:
The correct approach is to enrich the IP address entities as the initial step of the playbook.
Enrichment lets you identify whether an IP is internal and tag it with the appropriate network name. This enriched network name can then be used as the trigger condition for subsequent playbook actions.

NEW QUESTION # 93
You are responsible for monitoring the ingestion of critical Windows server logs to Google Security Operations (SecOps) by using the Bindplane agent. You want to receive an immediate notification when no logs have been ingested for over 30 minutes. You want to use the most efficient notification solution. What should you do?

A. Configure the Windows server to send an email notification if there is an error in the Bindplane process.
B. Configure a Bindplane agent to send a heartbeat signal to Google SecOps every 15 minutes, and create an alert if two heartbeats are missed.
C. Create a new alert policy in Cloud Monitoring that triggers a notification based on the absence of logs from the server's hostname.
D. Create a new YARA-L rule in Google SecOps SIEM to detect the absence of logs from the server within a 30-minute window.

Answer: C

Explanation:
The most efficient and native solution is to use the Google Cloud operations suite. Google Security Operations (SecOps) automatically exports its own ingestion health metrics to Cloud Monitoring. These metrics provide detailed information about the logs being ingested, including log counts, parser errors, and event counts, and can be filtered by dimensions such as hostname.
To solve this, an engineer would navigate to Cloud Monitoring and create a new alert policy. This policy would be configured to monitor the chronicle.googleapis.com/ingestion/log_entry_count metric, filtering it for the specific hostname of the critical Windows server.
Crucially, Cloud Monitoring alerting policies have a built-in condition type for "metric absence." The engineer would configure this condition to trigger if no data points are received for the specified metric (logs from that server) for a duration of 30 minutes. When this condition is met, the policy will automatically send a notification to the desired channels (e.g., email, PagerDuty). This is the standard, out-of-the-box method for monitoring log pipeline health and requires no custom rules (Option B) or custom heartbeat configurations (Option C).
(Reference: Google Cloud documentation, "Google SecOps ingestion metrics and monitoring"; "Cloud Monitoring - Alerting on metric absence")

NEW QUESTION # 94
Your organization is conducting a penetration test. The CISO has asked you to implement a real- time method to track cases that originate from the penetration test, and clearly differentiate these cases from other security incidents. You need to recommend the most effective and efficient approach to achieve this goal in Google Security Operations (SecOps). What should you do?

A. Create a dashboard that is connected to the Google SecOps data lake. Use pre-built templates to visualize case status based on the penetration testing IP address range.
B. Implement case tagging within Google SecOps and apply a unique tag (e.g., PenTest) to all cases related to the penetration test entities. Use this tag for filtering and monitoring.
C. Configure a custom alert rule that triggers a high-severity alert for all activity originating from the penetration testing team's source IP addresses and sends a notification for potential critical vulnerabilities. Verify that these alerts are immediately visible in the alert queue.
D. Create a custom Google SecOps SOAR playbook that automatically extracts case metadata, including key findings and risk scores, and sends an email summary to the CISO.

Answer: B

Explanation:
The most effective and efficient way is to implement case tagging in Google SecOps and apply a unique tag (e.g., "PenTest") to all cases tied to penetration test activity. Tags allow easy filtering, monitoring, and reporting, ensuring penetration test cases are clearly distinguished from real security incidents without requiring custom dashboards or additional playbooks.

NEW QUESTION # 95
You were recently hired as a SOC manager at an organization with an existing Google Security Operations (SecOps) implementation. You need to understand the current performance by calculating the mean time to respond or remediate (MTTR) for your cases. What should you do?

A. Create a Looker dashboard that displays case handling times by analyst, case priority, and environment using SecOps SOAR data.
B. Create a playbook block that can be reused in all alert playbooks to write timestamps in the case wall after each change to the case. Write a job to calculate the case metrics.
C. Use the playbooks' case stages to capture metrics for each stage change. Create a dashboard based on these metrics.
D. Create a multi-event detection rule to calculate the response metrics in the outcome section based on the entity graph. Create a dashboard based on these metrics.

Answer: C

Explanation:
Google Security Operations (SecOps) SOAR is designed to natively measure and report on key SOC performance metrics, including MTTR. This calculation is automatically derived from playbook case stages.
As a case is ingested and processed by a SOAR playbook, it moves through distinct, customizable stages (e.g.,
"Triage," "Investigation," "Remediation," "Closed"). The SOAR platform automatically records a timestamp for each of these stage transitions. The time deltas between these stages (e.g., the time from when a case entered "Triage" to when it entered "Remediation") are the raw data used to calculate MTTR and other KPIs.
This data is then aggregated and visualized in the built-in SecOps SOAR reporting and dashboarding features.
This is the standard, out-of-the-box method for capturing these metrics. Option C describes a manual, redundant process of what case stages do automatically. Option D describes where the data might be viewed (Looker), but Option B describes the underlying mechanism for how the MTTR data is captured in the first place, which is the core of the question.
(Reference: Google Cloud documentation, "Google SecOps SOAR overview"; "Manage playbooks"; "Get insights from dashboards and reports")

NEW QUESTION # 96
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