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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	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 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.
トピック 3	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 4	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.
トピック 5	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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Security-Operations-Engineer試験の準備方法｜権威のあるSecurity-Operations-Engineer最新日本語版参考書試験｜完璧なGoogle Cloud Certified - Professional Security Operations Engineer (PSOE) Exam一発合格

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Google Cloud Certified - Professional Security Operations Engineer (PSOE) Exam 認定 Security-Operations-Engineer 試験問題 (Q136-Q141):

質問 # 136
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. Perform a UDM search for the file checksum in Google Security Operations (SecOps). Review activities that are associated with, or attributed to, the malware.
D. Run a Google Web Search for the malware hash, and review the results.

正解：A

解説：
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")

質問 # 137
You are a security analyst at an organization that uses Google Security Operations (SecOps). You notice suspicious login attempts on several user accounts. You need to determine whether these attempts are part of a coordinated attack as quickly as possible.

A. Look for similarities in attack patterns across impacted users in the Audit & Activity Monitoring dashboard.
B. Enable default curated detections to automatically block suspicious IP addresses.
C. Use UDM Search to query historical logs for recent IOCs associated with the suspicious login attempts.
D. Remove user accounts that have repeated invalid login attempts.

正解：C

解説：
Comprehensive and Detailed 150 to 250 words of Explanation From Exact Extract Google Security Operations Engineer documents:
To determine if isolated events are part of a "coordinated attack," an analyst needs to pivot on the Indicators of Compromise (IOCs) such as Source IP, User Agent, or ASN to see if they appear across other accounts or timelines. UDM Search is the primary tool for this rapid ad-hoc investigation.
The documentation on UDM Search states it allows analysts to "search through all of your security data" to find specific events. By extracting the IOCs (e.g., the source IP of the bad login) and running a UDM search, you can instantly see if that same IP has targeted other users, which would confirm a coordinated password spraying or brute force campaign.
Option B suggests using a Dashboard. While dashboards provide high-level visibility, they are generally pre- aggregated views and are less effective than UDM Search for the specific, granular "rapid pivoting" required to link specific disparate login attempts to a single coordinated actor in real-time. Options C and D are remediation/prevention steps, not investigation steps.
References: Google Security Operations Documentation > Investigation > UDM Search

質問 # 138
You are a platform engineer at an organization that is migrating from a third-party SIEM product to Google Security Operations (SecOps). You previously manually exported context data from Active Directory (AD) and imported the data into your previous SIEM as a watchlist when there were changes in AD's user/asset context data. You want to improve this process using Google SecOps. What should you do?

A. Configure a Google SecOps SOAR integration for AD to enrich user/asset information in your security alerts.
B. Create a reference list that contains the AD context data. Use the reference list in your YARA-L rule to find user/asset information for each security event.
C. Create a data table that contains AD context data. Use the data table in your YARA-L rule to find user/asset data that can be correlated within each security event.
D. Ingest AD organizational context data as user/asset context to enrich user/asset information in your security events.

正解：D

解説：
The best approach is to ingest AD organizational context data directly into Google SecOps as user/asset context. This ensures that AD user and asset information is automatically enriched in security events without manual exports or watchlists. It improves correlation, investigation efficiency, and automation compared to maintaining separate reference lists or data tables.

質問 # 139
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. Create a new alert policy in Cloud Monitoring that triggers a notification based on the absence of logs from the server's hostname.
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 YARA-L rule in Google SecOps SIEM to detect the absence of logs from the server within a 30-minute window.
D. Configure the Windows server to send an email notification if there is an error in the Bindplane process.

正解：A

解説：
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")

質問 # 140
During a high-priority phishing incident at your company, Google Security Operations (SecOps) created and assigned the case to a Tier 1 analyst. The analyst added email headers and attached the malicious file as evidence but failed to escalate the case, violating an internal SLA of
30 minutes for a phishing response. The delay led to multiple users opening the file before containment actions were initiated. You want to optimize the case management workflow for future high-priority incidents. What should you do?

A. Configure a SOAR notification loop that sends escalating email alerts to the Tier 1 analysts, the Tier 2 analysts, and the SOC manager every five minutes until the case is manually reassigned.
B. Build a playbook that automatically ingests reported phishing emails, enriches entities with threat intelligence, determines the impact and assigns the case for review.
C. Update the playbook to automatically close phishing cases after 60 minutes if no manual response has occurred.
D. Change the default case assignment logic to route all phishing alerts to the Tier 2 team.

正解：A

解説：
To ensure timely escalation for high-priority phishing incidents, you should configure a SOAR notification loop that sends escalating alerts to Tier 1 analysts, Tier 2 analysts, and the SOC manager at regular intervals until the case is reassigned or acted upon. This enforces SLA compliance and ensures that delays do not allow threats to propagate, optimizing the case management workflow without relying solely on manual escalation.

質問 # 141
......

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