Google Security-Operations-Engineer 認定試験の出題範囲：

トピック	出題範囲
トピック 1	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.
トピック 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.
トピック 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.
トピック 4	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.
トピック 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.

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

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Google Cloud Certified - Professional Security Operations Engineer (PSOE) 認定 Security-Operations-Engineer 試験問題：

問題 #1
Your Google Security Operations (SecOps) instance is generating alerts for unusual login times from multiple user accounts. Your SOC analysts are reporting a high number of the alerts are false positives involving service accounts used by scheduled automation tasks. You want to refine the detection logic using entity-level context available in Google SecOps. You want to use the most effective approach. What should you do?

A. Modify the rule to include the principal.user.type != "service_account" condition.
B. Update the rule to only alert when the principal.user.email and principal.user.userid fields match in the same event.
C. Add a reference list of all service accounts, and suppress alerts for any matches on the principal.user.email field.
D. Use asset tags to group known automation systems, and exclude them from the alert logic.

問題 #2
You are a SOC manager, and your company recently migrated to Google Security Operations (SecOps). As the team grows, you want to monitor all audit logs related to data feeds in Google SecOps. What should you do?

A. Monitor Google SecOps SOAR user activity logs for administrative activity.
B. Enable Data Access and Admin Activity audit logs in Cloud Logging, and ingest those logs into Google SecOps SIEM.
C. Configure the Cloud Logging filter to ingest audit logs related to data feeds into Google SecOps for monitoring.
D. Ingest the Google SecOps audit logs into Google SecOps SIEM for monitoring.

問題 #3
Your company is taking a more proactive approach to security. You want to generate an alert when a binary hash first appears in your environment. What should you do?

A. Navigate to the Alerts & IOCs page in Google Security Operations (SecOps). Create a filter that targets hashes and specifies a first_seen_time value excluding the current date.
B. Enable the Applied Threat Intelligence - Curated Prioritization rule set in curated detections.
C. Write a rule to examine file-related events that join with derived context for hashes in the entity graph. Compare the timestamp of the hash with the first_seen_time field.
D. Create a table by using the Google Security Operations (SecOps) statistics in search to examine file-related events for the current day. Verify that the first_seen_time value predates the current day.

問題 #4
You are a security engineer at a financial technology company. You need to create a centralized dashboard to provide security posture visibility for your leadership team. The dashboard must meet these requirements:
- Provide insights from Security Command Center (SCC) findings and security-related events captured in Cloud Logging.
- Support large volumes of historical data.
- Be able to join SCC findings and audit logs.
You want to use the most effective visualization solution that uses Google Cloud managed services. What should you do?

A. Export SCC findings and Cloud Audit Logs to BigQuery. Connect Looker Studio to the BigQuery datasets, and create the visualizations and filters.
B. Create custom metrics in Cloud Monitoring based on the SCC findings, and configure log-based metrics for security-related events. Build Cloud Monitoring dashboards to visualize these custom and log-based metrics.
C. Ingest the SCC findings and Cloud Audit Logs into a Cloud Storage bucket. Write a Python script that reads the data and uses Matplotlib to create the visualizations.
D. Use the built-in SCC dashboard to visualize the SCC finding, and extract log counts for specific log events from Cloud Audit Logs.

問題 #5
You work for a telecommunications company that wants to monitor their multi-region 5G network logs in Google Security Operations (SecOps). The logs are currently only available on-premises and are stored in a standalone network-attached storage (NAS) located in four different regions.
You need to ingest the logs into Google SecOps and tag each NAS as a specific log source to avoid IP address aliasing. What should you do?

A. Configure feed management to pull data from each log's location, and configure an ingestion label for each log source.
B. Configure a Bindplane agent that collects Syslog from each log's location, and configure a namespace for each log source.
C. Configure a Bindplane agent that collects Syslog from each log's location and configure an ingestion label for each log source.
D. Configure feed management to pull data from each log's location, and configure a namespace for each log source.

解説：

問題 #1
正解： A

問題 #2
正解： D

問題 #3
正解： C

問題 #4
正解： A

問題 #5
正解： A

Google Security-Operations-Engineer