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| Certification Vendor: | Google Cloud |
|---|---|
| Exam Name: | Professional Security Operations Engineer Exam |
| Exam Number: | Professional Security Operations Engineer (PSO Engineer) |
| Exam Duration: | 120 minutes |
| Related Certifications: | Google Cloud Certified - Associate Cloud Engineer Google Cloud Certified - Professional Cloud Security Engineer |
| Real Exam Qty: | Approximately 50–60 questions |
| Certificate Validity Period: | 2 years |
| Exam Price: | $200 USD (may vary by region) |
| Exam Format: | Multiple select, Multiple choice |
| Available Languages: | Japanese, English |
| Recommended Training: | Google Cloud Security Operations Training Google Cloud Security Engineer Learning Path |
| Exam Registration: | Google Cloud Certification Registration Kryterion Webassessor Exam Scheduling |
| Sample Questions: | Google Security-Operations-Engineer Sample Questions |
| Exam Way: | Online proctored or test center (Kryterion/Webassessor) |
| Pre Condition: | Recommended: 3+ years industry experience in security operations or SOC roles, and 1+ year experience with Google Cloud security technologies |
| Official Syllabus URL: | https://cloud.google.com/certification/security-operations-engineer |
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| 主題 | 簡介 |
|---|---|
| 主題 1 |
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| 主題 2 |
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| 主題 3 |
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問題 #89
You are developing a playbook to respond to phishing reports from users at your company. You configured a UDM query action to identify all users who have connected to a malicious domain. You need to extract the users from the UDM query and add them as entities in an alert so the playbook can reset the password for those users. You want to minimize the effort required by the SOC analyst. What should you do?
答案：B
解題說明：
Comprehensive and Detailed 150 to 250 words of Explanation From Exact Extract Google Security Operations Engineer documents:
The key requirement is to *automate* the extraction of data to *minimize analyst effort*. This is a core function of Google Security Operations SOAR (formerly Siemplify). The **Siemplify integration** provides the foundational playbook actions for case management and entity manipulation.
The **`Create Entity`** action is designed to programmatically add new entities (like users, IPs, or domains) to the active case. To make this action automatic, the playbook developer must use the **Expression Builder**. The Expression Builder is the tool used to parse the JSON output from a previous action (the UDM query) and dynamically map the results (the list of usernames) into the parameters of a subsequent action.
By using the Expression Builder to configure the `Entities Identifier` parameter of the `Create Entity` action, the playbook automatically extracts all `principal.user.userid` fields from the UDM query results and adds them to the case. These new entities can then be automatically passed to the next playbook step, such as
"Reset Password."
Options A and C are incorrect because they are **manual** actions. They require an analyst to intervene, which does *not* minimize effort. Option D is incorrect as it creates multiple, unnecessary cases, flooding the queue instead of enriching the single, original phishing case.
*(Reference: Google Cloud documentation, "Google SecOps SOAR Playbooks overview"; "Using the Expression Builder"; "Marketplace and Integrations")*
***
問題 #90
You need to augment your organization's existing Security Command Center (SCC) implementation with additional detectors. You have a list of known IOCs and would like to include external signals for this capability to ensure broad detection coverage. What should you do?
答案：A
解題說明：
The correct approach is to create an Event Threat Detection (ETD) custom module using the
"Configurable Bad IP" template. This allows you to ingest known IOCs, including external threat intelligence signals, and generate detections when these IOCs are observed in your environment, augmenting SCC's built-in detection capabilities.
問題 #91
You work for an organization that uses Security Command Center (SCC) with Event Threat Detection (ETD) enabled. You need to enable ETD detections for data exfiltration attempts from designated sensitive Cloud Storage buckets and BigQuery datasets. You want to minimize Cloud Logging costs. What should you do?
答案：D
解題說明：
To detect data exfiltration attempts from sensitive Cloud Storage buckets and BigQuery datasets using ETD, you only need "data read" audit logs. These logs capture access and read events (which indicate potential exfiltration). Enabling them only for the designated sensitive resources minimizes Cloud Logging costs while still providing the necessary visibility for detections.
問題 #92
You scheduled a Google Security Operations (SecOps) report to export results to a BigQuery dataset in your Google Cloud project. The report executes successfully in Google SecOps, but no data appears in the dataset.
You confirmed that the dataset exists. How should you address this export failure?
答案：C
解題說明：
Comprehensive and Detailed 150 to 250 words of Explanation From Exact Extract Google Security Operations Engineer documents:
This is a standard Identity and Access Management (IAM) permission issue. When Google Security Operations (SecOps) exports data, it uses its own service account (often named service-
<project_number>@gcp-sa-bigquerydatatransfer.iam.gserviceaccount.com or a similar SecOps-specific principal) to perform the write operation. The user account that schedules the report (Option C) is only relevant for the scheduling action, not for the data transfer itself. For the export to succeed, the Google SecOps service account principal must have explicit permission to write data into the target BigQuery dataset.
The predefined IAM role roles/bigquery.dataEditor grants the necessary permissions to create, update, and delete tables and table data within a dataset. By granting this role to the Google SecOps service account on the specific dataset, you authorize the service to write the report results and populate the tables. Option A (serviceAccountUser) is incorrect as it's used for service account impersonation, not for granting data access.
Option B (retention period) is a data lifecycle setting and has no impact on the ability to write new data. The most common cause for this exact scenario-a successful job run with no data appearing-is that the service account lacks the required bigquery.dataEditor permissions on the destination dataset.
(Reference: Google Cloud documentation, "Troubleshoot transfer configurations"; "Control access to resources with IAM"; "BigQuery predefined IAM roles")
問題 #93
You are helping a new Google Security Operations (SecOps) customer configure access for their SOC team.
The customer's Google SecOps administrators currently have access to the Google SecOps instance. The customer is reporting that the SOC team members are not getting authorized to access the instance, but they are able to authenticate to the third-party identity provider (IdP). How should you fix the issue?
Choose 2 answers
答案：A,B
解題說明：
Comprehensive and Detailed Explanation
This scenario describes a common configuration task where authorization is failing despite successful authentication. The problem stems from the fact that Google SecOps uses a dual-authorization model: one for the main platform (SIEM/Chronicle) and a separate one for the SOAR module. The SOC team needs both.
The prompt states admins already have access, which confirms that prerequisite steps like linking the project (Option A) and configuring Workforce Identity Federation (Option B) are already complete. The problem is specific to the new SOC team's group.
* Fixing Instance Access (Option D):
The error "not getting authorized to access the instance" refers to the primary Google Cloud-level authorization. Access to the Google SecOps application itself is controlled by Google Cloud IAM roles on the linked project.1 The SOC team's group, which is federated from the third-party IdP, is represented as a principalSet in IAM. This principalSet must be granted an IAM role to allow sign-in. The roles/chronicle.
viewer role is the minimum predefined role required to grant this application access.
* Fixing SOAR Access (Option E):
Simply granting the IAM role (Option D) is not enough for the SOC team to perform its job. That role only gets them into the main SIEM interface. The SOAR module (for case management and playbooks) has its own internal role-based access control system. An administrator must also navigate within the SecOps platform to the SOAR Advanced Settings > Users & Groups and grant the SOC team's federated group a SOAR-specific permission, like "Basic" or "Analyst." Both steps are required to fully "fix the issue" and provide the SOC team with functional access to the platform.
Exact Extract from Google Security Operations Documents:
Identity and Access Management: Access to a Google SecOps instance using a third-party IdP relies on Workforce Identity Federation, but authorization is configured in two distinct locations.
* Google Cloud IAM: Authorization to the main SecOps instance (including the SIEM interface) is controlled by Google Cloud IAM.2 The federated identities (groups) from the third-party IdP are mapped to a principalSet. This principalSet must be granted an IAM role on the Google Cloud project linked to the SecOps instance. The roles/chronicle.viewer role is the minimum predefined role required to grant sign-in access.
* Google SecOps SOAR: Authorization for the SOAR module (for case management and playbooks) is managed independently.3 An administrator must navigate to the SOAR Advanced Settings > Users & Groups and assign a SOAR-specific role (e.g., 'Basic' or 'Analyst') to the same federated IdP group.
References:
Google Cloud Documentation: Google Security Operations > Documentation > Onboard > Configure a third-party identity provider Google Cloud Documentation: Google Security Operations > Documentation > SOAR > SOAR Administration > Users and Groups
問題 #94
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