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Google Security-Operations-Engineer Exam Overview:

Certification Vendor:	Google Cloud
Exam Name:	Professional Security Operations Engineer Exam
Exam Number:	Security-Operations-Engineer
Exam Duration:	120 minutes
Exam Format:	Multiple select, Multiple choice
Real Exam Qty:	50-60
Certificate Validity Period:	2 years
Available Languages:	Japanese, English
Passing Score:	Not publicly disclosed (Pass/Fail only)
Related Certifications:	Google Cloud Certified - Professional Cloud Security Engineer
Exam Price:	$200 USD (plus tax where applicable)
Recommended Training:	Google Cloud Skills Boost - Professional Security Operations Engineer Learning Path Official Exam Guide
Exam Registration:	Google Cloud Certification Registration
Sample Questions:	Google Security-Operations-Engineer Sample Questions
Exam Way:	Online-proctored (remote) or Onsite-proctored at authorized testing centers
Pre Condition:	No mandatory prerequisites; Recommended: 3+ years security industry experience, 1+ year hands-on with Google Cloud security tools
Official Syllabus URL:	https://cloud.google.com/learn/certification/security-operations-engineer

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Google Security-Operations-Engineer Exam Syllabus Topics:

Topic	Details
Topic 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.
Topic 2	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 3	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 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.

Google Cloud Certified - Professional Security Operations Engineer (PSOE) Exam Sample Questions (Q36-Q41):

NEW QUESTION # 36
Your company recently started pulling JSON logs from a third-party system into Google Security Operations (SecOps). You noticed that some fields are missing, and you want to parse them into UDM fields as quickly as possible. What should you do?

A. Create parser extensions using the no-code approach.
B. Submit a parser improvement request to Cloud Customer Care.
C. Configure auto extraction to add the additional fields.
D. Create parser extensions using the code snippet approach.

Answer: A

Explanation:
The fastest way to handle missing fields in JSON logs is to create parser extensions using the no- code approach in Google SecOps. This allows you to quickly map additional fields into UDM without writing code or waiting on support requests, ensuring rapid parsing and normalization of the third-party logs.

NEW QUESTION # 37
You are responsible for evaluating the level of effort required to integrate a new third-party endpoint detection tool with Google Security Operations (SecOps). Your organization's leadership wants to minimize customization for the new tool for faster deployment. You need to verify that the Google SecOps SOAR and SIEM support the expected workflows for the new third-party tool.
You must recommend a tool to your leadership team as quickly as possible. What should you do?
(Choose two.)

A. Identify the tool in the Google SecOps Marketplace and verify support for the necessary actions in the workflow.
B. Develop a custom integration that uses Python scripts and Cloud Run functions to forward logs and orchestrate actions between the third-party tool and Google SecOps.
C. Configure a Pub/Sub topic to ingest raw logs from the third-party tool and build custom YARA-L rules in Google SecOps to extract relevant security events.
D. Review the architecture of the tool to identify the cloud provider that hosts the tool.
E. Review the documentation to identify if default parsers exist for the tool, and determine whether the logs are supported and able to be ingested.

Answer: A,E

Explanation:
Reviewing documentation to confirm whether default parsers exist for the tool ensures logs can be ingested into Google SecOps without heavy customization.
Checking the Google SecOps Marketplace verifies whether the tool has native SOAR/SIEM integration and supported actions, which directly impacts how quickly and easily workflows can be implemented.

NEW QUESTION # 38
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. Change the default case assignment logic to route all phishing alerts to the Tier 2 team.
D. Update the playbook to automatically close phishing cases after 60 minutes if no manual response has occurred.

Answer: A

Explanation:
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.

NEW QUESTION # 39
You are implementing Google Security Operations (SecOps) for your organization. Your organization has their own threat intelligence feed that has been ingested to Google SecOps by using a native integration with a Malware Information Sharing Platform (MISP). You are working on the following detection rule to leverage the command and control (C2) indicators that were ingested into the entity graph.

What code should you add in the detection rule to filter for the domain IOCs?

A. $ioc.graph.metadata.entity_type = "DOMAIN_NAME"
$ioc.graph.metadata.source_type = "GLOBAL_CONTEXT"
B. $ioc.graph.metadata.entity_type = "DOMAIN_NAME"
$ioc.graph.metadata.source_type = "ENTITY_CONTEXT"
C. $ioc.graph.metadata.entity_type = "DOMAIN_NAME"
$ioc.graph.metadata.source_type = "DERIVED_CONTEXT"
D. $ioc.graph.metadata.entity_type = "DOMAIN_NAME"
$ioc.graph.metadata.source_type = "SOURCE_TYPE_UNSPECIFIED"

Answer: B

Explanation:
This code ensures your rule matches IOCs classified as domain names and sourced directly as entity context from MISP, allowing precise correlation between DNS queries and known C2 domains.

NEW QUESTION # 40
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 an Advanced Report in SOAR Reports, and schedule delivery of the report.
B. Generate a report in SOAR Reports, and schedule delivery of the report.
C. Build a detection rule with outcomes, and configure a Google SecOps SOAR job to format and send the report.
D. Use statistics in search, and configure a Google SecOps SOAR job to format and send the report.

Answer: A

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 # 41
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