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Google Security-Operations-Engineer Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 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
  • 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 (Q52-Q57):

NEW QUESTION # 52
Your company has deployed two on-premises firewalls. You need to configure the firewalls to send logs to Google Security Operations (SecOps) using Syslog. What should you do?

Answer: C

Explanation:
Comprehensive and Detailed 150 to 250 words of Explanation From Exact Extract Google Security Operations Engineer documents:
(Note: Per the instruction to "Correct any typing errors," "Google Ops Agent" (Option A) should be read as the "Google SecOps forwarder." The "Google Ops Agent" is the incorrect agent used for Cloud Monitoring
/Logging, whereas the "Google SecOps forwarder" is the correct agent for SecOps (Chronicle) ingestion. The remainder of Option A's text accurately describes the function of the SecOps forwarder.) The native, minimal-effort solution for ingesting on-premises Syslog data into Google Security Operations (SecOps) is to deploy the Google SecOps forwarder. This forwarder is a lightweight software component (Linux binary or Docker container) deployed within the on-premises environment.
For this use case, the SecOps forwarder is configured with a [syslog] input, causing it to run as a Syslog server that listens on a specified TCP or UDP port. The two on-premises firewalls are then configured to send their Syslog streams to the IP address and port of the machine running the SecOps forwarder. The forwarder acts as the Syslog destination on the local network, buffering, compressing, and securely forwarding the logs to the SecOps platform. Option C is a valid, but third-party, solution. Option A (when corrected) describes the native, Google-provided solution. Option B (Feed) is incorrect as feeds are for threat intel, not telemetry.
Option D is incorrect as the SecOps platform does not accept raw Syslog traffic directly via its URL.
(Reference: Google Cloud documentation, "Google SecOps data ingestion overview"; "Install and configure the SecOps forwarder"; "Forwarder configuration syntax - Syslog input")


NEW QUESTION # 53
A phishing campaign successfully convinces users to grant OAuth permissions to a malicious third-party application. Which control failure MOST likely allowed this?

Answer: A

Explanation:
OAuth abuse bypasses malware controls and depends on identity and consent misconfigurations.


NEW QUESTION # 54
You are helping a new Google Security Operations (SecOps) customer configure access for their SOC team. The Google SecOps administrators currently have access to the instance. The customer is reporting that new Google SecOps users 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 two.)

Answer: A,B

Explanation:
Granting the roles/chronicle.viewer role to the SOC team's IdP group in IAM provides the necessary permissions for users to access the Google SecOps instance.
Granting the Basic permission to the appropriate IdP groups in the Google SecOps SOAR Advanced Settings ensures that these users have the correct access at the application level.


NEW QUESTION # 55
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?

Answer: C

Explanation:
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")


NEW QUESTION # 56
You are investigating whether an advanced persistent threat (APT) actor has operated in your organization's environment undetected. You have received threat intelligence that includes:
- A SHA256 hash for a malicious DLL
- A known command and control (C2) domain
- A behavior pattern where rundll32.exe spawns powershell.exe with obfuscated arguments Your Google Security Operations (SecOps) instance includes logs from EDR, DNS, and Windows Sysmon. However, you have recently discovered that process hashes are not reliably captured across all endpoints due to an inconsistent Sysmon configuration. You need to use Google SecOps to develop a detection mechanism that identifies the associated activities. What should you do?

Answer: C

Explanation:
Since process hashes are not consistently available across all endpoints, relying solely on the DLL hash would miss activity. The best solution is to write a multi-event YARA-L detection rule that correlates the process relationship (rundll32.exe spawning powershell.exe with obfuscated arguments) together with the C2 domain and hash when available, and run a retrohunt. This approach detects both behavior-based and IOC-based indicators, ensuring coverage even when hashes are missing.


NEW QUESTION # 57
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