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Google Security-Operations-Engineer Exam Syllabus Topics:

Topic	Details
Topic 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.
Topic 2	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 3	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 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	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.

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Google Cloud Certified - Professional Security Operations Engineer (PSOE) Exam Sample Questions (Q87-Q92):

NEW QUESTION # 87
Your organization is a Google Security Operations (SecOps) customer. The compliance team requires a weekly export of case resolutions and SLA metrics of high and critical severity cases over the past week. The compliance team's post-processing scripts require this data to be formatted as tabular data in CSV files, zipped, and delivered to their email each Monday morning. What should you do?

A. Build a detection rule with outcomes, and configure a Google SecOps SOAR job to format and send the report.
B. Build an Advanced Report in SOAR Reports, and schedule delivery of the report.
C. Generate a report in SOAR Reports, and schedule delivery of the report.
D. Use statistics in search, and configure a Google SecOps SOAR job to format and send the report.

Answer: B

Explanation:
Comprehensive and Detailed Explanation
The correct solution is Option C. Google SecOps SOAR has a specific feature designed for this exact use case: Advanced Reports.
The standard "SOAR Reports" (Option A) are pre-canned dashboard-style reports (e.g., Management - SOC Status). However, the "Advanced Reports" feature (built on Looker) provides a powerful, flexible interface for building highly customized, tabular reports based on case data. This allows an administrator to specifically query for case resolutions and SLA metrics, and filter them by priority = High OR Critical.
Most importantly, the Advanced Reports feature has a built-in scheduler. This scheduler can be configured to run the report at a specific cadence (e.g., "Weekly on Monday at 9:00 AM"), send it to a list of email recipients, and attach the data in the required format, including CSV and as a zipped file.
Option B is incorrect because detection rules create alerts, they don't report on case metrics. Option D is incorrect because it mixes the SIEM search function with a SOAR job, which is an overly complex and unnecessary way to query case data that is already structured within the SOAR module.
Exact Extract from Google Security Operations Documents:
Explore advanced SOAR reports: The default advanced SOAR reports are a set of dashboards and reports to help track SOC performance, case handling, analyst workload, and automation efficiency. These reports provide both high-level and detailed insights across your environments.1 SLA Monitoring: Use Triage Time and SLA Met flag to monitor SLA compliance and improve case handling.
Manage advanced reports: You can create, edit, duplicate, share, download, and delete advanced reports.
Schedule a report:
* Select the report you want to schedule.
* Select the Scheduler tab and click Add.
* In the New Schedule dialog, click the Enable toggle to turn on scheduling and enter the required information (e.g., weekly, Monday, email recipients).
* You can select the delivery format, including CSV and ZIP attachments.
References:
Google Cloud Documentation: Google Security Operations > Documentation > Monitor and report > SOAR reports > Use Looker Explores in SOAR reports (Advanced Reports) Google Cloud Documentation: Google Security Operations > Documentation > Monitor and report > SOAR reports > Explore SOAR reports

NEW QUESTION # 88
You are part of a cybersecurity team at a large multinational corporation that uses Google Security Operations (SecOps). 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 for the unknown C2s 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 SecOps that scans historic network outbound connections against ingested threat intelligence. Run the rule in a retrohunt against the full tenant.
C. Write a YARA-L rule in Google SecOps that compares network traffic from endpoints to recent WHOIS registrations. Run the rule in a retrohunt against the full tenant.
D. Review Security Health Analytics (SHA) findings in Security Command Center (SCC).

Answer: C

Explanation:
Comprehensive and Detailed 150 to 200 words of Explanation From Exact Extract Google Security Operations Engineer documents:
The key requirement is to hunt for unknown C2 nodes. This implies that the indicators will not exist in any current threat intelligence feed. Therefore, Option C is incorrect as it only hunts for known IoCs. Option A is also incorrect as Security Health Analytics (SHA) is a posture management tool, not a threat hunting tool.
Option D describes a classic and effective hypothesis-driven threat hunt. Attackers frequently use Newly Registered Domains (NRDs) for their C2 infrastructure, as these domains have no established reputation and are not yet on blocklists.
Google Security Operations (SecOps) allows an engineer to write a YARA-L rule that joins real-time event data (UDM network traffic) with contextual data (the entity graph or a custom lookup). An engineer can ingest WHOIS data or a feed of NRDs as context. The YARA-L rule would then compare outbound network connections against this context, looking for any communication with domains registered within the last 30-
90 days. By executing this rule as a retrohunt, the engineer can scan all historical data to "generate a list of potential matches" for this high-risk, anomalous behavior, which is a strong indicator of unknown C2 activity.
(Reference: Google Cloud documentation, "YARA-L 2.0 language syntax"; "Run a YARA-L retrohunt"; " Context-aware detections with entity graph")

NEW QUESTION # 89
You are writing a Google Security Operations (SecOps) SOAR playbook that uses the VirusTotal v3 integration to look up a URL that was reported by a threat hunter in an email. You need to use the results to make a preliminary recommendation on the maliciousness of the URL and set the severity of the alert based on the output. What should you do? (Choose two.)

A. Use the number of detections from the response JSON in a conditional statement to set the severity.
B. Use a conditional statement to determine whether to treat the URL as suspicious or benign.
C. Verify that the response is accurate by manually checking the URL in VirusTotal
D. Pass the response back to the SIEM.
E. Create a widget that translates the JSON output to a severity score.

Answer: A,B

Explanation:
Use the number of detections returned in the VirusTotal JSON response in a conditional statement to programmatically determine the severity of the alert. This quantifies the threat level based on multiple vendor detections.
Implement a conditional statement to classify the URL as suspicious or benign based on the VirusTotal results. This enables the playbook to provide a preliminary recommendation and guide subsequent analyst actions.

NEW QUESTION # 90
Your organization plans to ingest logs from an on-premises MySQL database as a new log source into its Google Security Operations (SecOps) instance. You need to create a solution that minimizes effort. What should you do?

A. Configure and deploy a Google SecOps forwarder.
B. Configure a third-party API feed in Google SecOps.
C. Configure direct ingestion from your Google Cloud organization.
D. Configure and deploy a Bindplane collection agent.

Answer: A

Explanation:
To ingest logs from an on-premises source like MySQL into Google Security Operations (SecOps), you need a secure and supported way to forward those logs to the cloud. The recommended method is to deploy a Google SecOps forwarder on-premises. The forwarder collects logs from local sources (databases, syslog, etc.) and securely sends them to SecOps.

NEW QUESTION # 91
You are responsible for selecting and prioritizing potential sources of data to integrate with Google Security Operations (SecOps). Your company has recently started using several Google Cloud services to increase security in its Google Cloud organization. You need to determine which logs should be ingested into Google SecOps to reduce the effort required to write detections. What should you do?

A. Integrate Security Command Center (SCC) into Google SecOps to ingest logs originating from the Google Cloud services.
B. Ingest Google Cloud Armor logs by using Cloud Logging.
C. Use Google Threat Intelligence to gain insight about threat group behavior and support threat hunting activities.
D. Deploy a Bindplane agent to ingest event logs from Compute Engine VMs that provide endpoint visibility.

Answer: A

Explanation:
Integrating Security Command Center (SCC) into Google Security Operations (SecOps) provides a centralized source of security findings from Google Cloud services. SCC normalizes and correlates data from multiple native Google Cloud sources (e.g., IAM, VPC, GKE, VM Threat Detection, Cloud Armor), which reduces the effort required to write detections since findings are already standardized and security-focused. This is more effective than ingesting individual service logs or only using threat intelligence.

NEW QUESTION # 92
......

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