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Google Security-Operations-Engineer Exam Syllabus Topics:

Topic	Details
Topic 1	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 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	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.

Google Cloud Certified - Professional Security Operations Engineer (PSOE) Exam Sample Questions (Q134-Q139):

NEW QUESTION # 134
Your company uses Security Command Center (SCC) and Google Security Operations (SecOps). Last week, an attacker attempted to establish persistence by generating a key for an unused service account. You need to confirm that you are receiving alerts when keys are created for unused service accounts and that newly created keys are automatically deleted. You want to minimize the amount of manual effort required. What should you do?

A. Generate a YARA-L rule in Google SecOps that detects when a service account key is created.
Using the built-in IDE, create a custom action in Google SecOps SOAR that deletes the service account key.
B. Configure a Cloud Logging sink to write logs to a Pub/Sub topic that filters for the methodName:
"google.iam.admin.v1.CreateServiceAccountKey" field. Create a Cloud Run function that subscribes to the Pub/Sub topic and deletes the service account key.
C. Use the Initial Access: Dormant Service Account Key Created finding from SCC, and ingest this finding into Google SecOps. Create a custom action in Google SecOps SOAR that is triggered on this finding. Use the built-in IDE to build code to delete the service account key.
D. Use the Initial Access: Dormant Service Account Key Created finding from SCC, and write this finding to a Pub/Sub topic. Create a Cloud Run function that subscribes to the Pub/Sub topic and deletes the service account key.

Answer: C

Explanation:
The most efficient solution is to use the built-in SCC detection "Initial Access: Dormant Service Account Key Created", ingest the finding into Google SecOps, and automate the response with a custom SOAR action that deletes the key. This leverages existing SCC findings for accurate detection, integrates directly with Google SecOps for centralized alerting, and minimizes manual effort by automating remediation.

NEW QUESTION # 135
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. Create a Compute Engine VM, and perform dynamic and static malware analysis.
B. Run a Google Web Search for the malware hash, and review the results.
C. Search for the malware hash in Google Threat Intelligence, and review the results.
D. Perform a UDM search for the file checksum in Google Security Operations (SecOps). Review activities that are associated with, or attributed to the malware.

Answer: C

Explanation:
The fastest and most reliable method is to search for the malware hash in Google Threat Intelligence. GTI provides curated, up-to-date IOCs and documented malware behaviors, enabling you to confirm the infection quickly and extend the search across other computers in your environment.

NEW QUESTION # 136
You are ingesting and parsing logs from an SSO provider and an on-premises appliance using Google Security Operations (SecOps). Users are tagged as "restricted" by an internal process. Restrictions last five days from the most recent flagging time. You need to create a rule to detect when restricted users log into the appliance. Your solution must be quickly implemented and easily maintained.
What should you do?

A. Create a regex data table to store each user and the corresponding time-to-live value in a single row, pipe-delimited, and use an "in" keyword in your detection rule.
B. Use a Google SecOps SOAR global context value to store a list of flagged users with their corresponding time-to-live values.
C. Store the flagged users in a data table column with their corresponding time-to-live values in a second column. Use row-based comparisons in the detection rule.
D. Use a SOAR job to dynamically build and deploy a new version of the detection rule with the updated list of flagged users.

Answer: C

Explanation:
Comprehensive and Detailed 150 to 250 words of Explanation From Exact Extract Google Security Operations Engineer documents:
This scenario is best addressed using Data Tables (formerly Reference Lists), which allow for dynamic list management with built-in expiration capabilities directly accessible by the Detection Engine.
According to Google Security Operations documentation regarding Data Tables: "Data tables are multicolumn data constructs that let you input your own data into Google Security Operations. They can act as lookup tables with defined columns and the data stored in rows." The prompt specifically requires handling a restriction period where "Restrictions last five days from the most recent flagging time." Data tables natively support this via Time-to-Live (TTL) settings. The documentation states: "You can specify a Time To Live (TTL) for list entries. When the TTL expires, the entry is automatically removed from the list." Furthermore, "TTL applied at the table level is inherited by the rows.
Any update to existing rows resets the TTL for that row," which perfectly automates the maintenance requirement.
To detect the login, you utilize row-based comparisons in YARA-L. The documentation explains the syntax for joining events with tables: "Using an equality operator ( =, != , >, >=, <, <= ) for row-based comparison.
For example, $udm_variable.field_path = %data_table_name.column_name." This allows the rule to dynamically check the incoming user against the active "restricted" list without modifying the rule text itself, ensuring the solution is easily maintained.
References: Google Security Operations Documentation > Investigation > Use data tables; Google Security Operations Documentation > Detection > YARA-L 2.0 Language Syntax

NEW QUESTION # 137
You are a security engineer at a managed security service provider (MSSP) that is onboarding to Google Security Operations (SecOps). You need to ensure that cases for each customer are logically separated. How should you configure this logical separation?

A. In Google SecOps SOAR settings, create a permissions group for each customer.
B. In Google SecOps Playbooks, create a playbook for each customer.
C. In Google SecOps SOAR settings, create a new environment for each customer.
D. In Google SecOps SOAR settings, create a role for each customer.

Answer: C

Explanation:
The correct mechanism for achieving logical data segregation for different customers in a Google Security Operations (SecOps) SOAR multi-tenant environment is by using Environments. The documentation explicitly states that "you can define different environments and environment groups to create logical data segregation." This separation applies to most platform modules, including cases, playbooks, and dashboards.
This feature is specifically designed for this use case: "This process is useful for businesses and Managed Security Service Providers (MSSPs) who need to segment their operations and networks. Each environment...
can represent a separate customer." When an analyst is associated with a specific environment, they can only see the cases and data relevant to that customer, ensuring strict logical separation.
While permission groups (Option C) and roles (Option A) are used to control what a user can do within the platform (e.g., view cases, edit playbooks), they do not provide the primary data segregation. Environments are the top-level containers that separate one customer's data and cases from another's. Playbooks (Option B) are automation workflows and are not a mechanism for logical separation.
(Reference: Google Cloud documentation, "Control access to the platform using SOAR permissions"; " Support multiple instances [SOAR]")

NEW QUESTION # 138
You are using Google Security Operations (SecOps) to hunt for signs of lateral movement through Remote Desktop Protocol (RDP) in your organization. You suspect that a compromised account was used to access multiple internal systems within a short time window. You want to construct a UDM-based search to identify this activity. How should you build this query? (Choose two.)

A. Use a saved search to identify all events with the LATERAL_MOVEMENT tag over the past 30 days.
B. Group events by user identity and time to identify repeated access patterns.
C. Filter for events using protocol-level attributes that indicate RDP connections.
D. Filter for RDP connections with non-standard ports.
E. Correlate events based on the asset role or classification such as database or user workstation.

Answer: B,C

Explanation:
Filtering for events using protocol-level attributes that indicate RDP connections ensures that the search specifically targets RDP sessions.
Grouping events by user identity and time allows you to identify repeated access patterns, which is a strong indicator of lateral movement when a single account accesses multiple systems in a short timeframe.

NEW QUESTION # 139
......

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Security-Operations-Engineer Test Dates - Security-Operations-Engineer Valid Study Questions

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Newest Security-Operations-Engineer Test Dates Covers the Entire Syllabus of Security-Operations-Engineer

Google Security-Operations-Engineer Exam Syllabus Topics:

Google Cloud Certified - Professional Security Operations Engineer (PSOE) Exam Sample Questions (Q134-Q139):

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