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New Google Security-Operations-Engineer Exam Notes | Latest Security-Operations-

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Google Cloud Certified - Professional Security Operations Engineer (PSOE) Exam Sample Questions (Q138-Q143):NEW QUESTION # 138
You are reviewing the security analyst team's playbook action process. Currently, security analysts navigate to the Playbooks tab in Google Security Operations (SecOps) for each alert and manually run steps assigned to a user. You need to present all actions from alerts awaiting user input in one location for the analyst to execute. What should you do?
  • A. Create an Alert View with the playbook that incorporates the Pending Actions widget.
  • B. Enable approval links in the manual action and display them as clickable links to the user in a HTML widget in the Default Case View tab.
  • C. Add a general insight in your playbook to display manual action details to the user.
  • D. Use the Pending Actions widget in the Default Case View in settings.
Answer: D
Explanation:
The correct approach is to use the Pending Actions widget in the Default Case View. This widget consolidates all manual playbook actions that require analyst input, allowing them to be executed from a single location. This streamlines the workflow, reduces manual navigation, and ensures analysts don't miss pending steps across multiple alerts.

NEW QUESTION # 139
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. Generate a report in SOAR Reports, and schedule delivery of the report.
  • C. Build an Advanced 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: C
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 # 140
Your third-party application data is published in a Pub/Sub topic located in a separate Google Cloud project from your Google Security Operations (SecOps) instance. Your attempts to push data from the Pub/Sub topic to Google SecOps have failed. You need to send this data into Google SecOps in a low-latency, robust way. What should you do?
  • A. Enable the Chronicle API in the project that owns the Pub/Sub topic to push the subscription to Google SecOps.
  • B. Push the data to Cloud Logging, and modify the export filter in direct ingestion.
  • C. Send Pub/Sub messages to a Cloud Storage bucket. Create an ingestion feed in Google SecOps to read from the bucket. Grant Storage Admin IAM access to the service account.
  • D. Create a Cloud Run function that is subscribed to the Pub/Sub topic and uses a Google SecOps Ingestion API key to push the data into Google SecOps.
Answer: D
Explanation:
The recommended low-latency and robust method to ingest third-party Pub/Sub data into Google Security Operations (SecOps) is to create a Cloud Run function subscribed to the Pub/Sub topic.
The function can process each message and forward it securely using a Google SecOps Ingestion API key. This design handles cross-project integration cleanly, provides fault tolerance and scalability, and ensures near real-time ingestion into SecOps.

NEW QUESTION # 141
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:
Comprehensive and Detailed 150 to 250 words of Explanation From Exact Extract Google Security Operations Engineer documents:
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 # 142
Your company uses Google Security Operations (SecOps) Enterprise and is ingesting various logs. You need to proactively identify potentially compromised user accounts. Specifically, you need to detect when a user account downloads an unusually large volume of data compared to the user's established baseline activity.
You want to detect this anomalous data access behavior using minimal effort. What should you do?
  • A. Develop a custom YARA-L detection rule in Google SecOps that counts download bytes per user per hour and triggers an alert if a threshold is exceeded.
  • B. Create a log-based metric in Cloud Monitoring, and configure an alert to trigger if the data downloaded per user exceeds a predefined limit. Identify users who exceed the predefined limit in Google SecOps.
  • C. Inspect Security Command Center (SCC) default findings for data exfiltration in Google SecOps.
  • D. Enable curated detection rules for User and Endpoint Behavioral Analytics (UEBA), and use the Risk Analytics dashboard in Google SecOps to identify metrics associated with the anomalous activity.
Answer: D
Explanation:
The requirement to detect activity that is *unusual* compared to a *user's established baseline* is the precise definition of **User and Endpoint Behavioral Analytics (UEBA)**. This is a core capability of Google Security Operations Enterprise designed to solve this exact problem with **minimal effort**.
Instead of requiring analysts to write and tune custom rules with static thresholds (like in Option A) or configure external metrics (Option B), the UEBA engine automatically models the behavior of every user and entity. By simply **enabling the curated UEBA detection rulesets**, the platform begins building these dynamic baselines from historical log data.
When a user's activity, such as data download volume, significantly deviates from their *own* normal, established baseline, a UEBA detection (e.g., `Anomalous Data Download`) is automatically generated. These anomalous findings and other risky behaviors are aggregated into a risk score for the user. Analysts can then use the **Risk Analytics dashboard** to proactively identify the highest-risk users and investigate the specific anomalous activities that contributed to their risk score. This built-in, automated approach is far superior and requires less effort than maintaining static, noisy thresholds.
*(Reference: Google Cloud documentation, "User and Endpoint Behavioral Analytics (UEBA) overview";
"UEBA curated detections list"; "Using the Risk Analytics dashboard")*

NEW QUESTION # 143
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