Title: Google Security-Operations-Engineer Pr¨¹fung Übungen und Antworten [Print This Page] Author: carllew576 Time: 7 hour before Title: Google Security-Operations-Engineer Pr¨¹fung Übungen und Antworten Wenn Sie sich um die Google Security-Operations-Engineer Zertifizierungspr¨¹fung bem¨¹hen, kann ExamFragen Ihnen helfen, Ihren Traum zu verwirklichen. Die Übungen zur Google Security-Operations-Engineer Zertifizierungspr¨¹fung werden von der Praxis pr¨¹ft. Die Schulungsunterlagen zur Google Security-Operations-Engineer Zertifizierungspr¨¹fung sind von guter Qualität, die Ihnen helfen, die Google Security-Operations-Engineer Zertifizierungspr¨¹fung zu bestehen und ein IT-Expert zu werden.
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Security-Operations-Engineer Pr¨¹fungs¨¹bungen & Security-Operations-Engineer DeutschDie Google Security-Operations-Engineer Zertifizierungspr¨¹fung ist schon eine der beliebten IT-Zertifizierungspr¨¹fungen geworden. Aber f¨¹r die Pr¨¹fung braucht man viel Zeit und Energie, um die Fachkenntnisse gut zu beherrschen. Im diesem Zeitalter, wo die Zeit sehr geschätzt wird, betrachtet man Zeit wie Geld. Das Schulungsprogramm zur Google Security-Operations-Engineer Zertifizierungspr¨¹fung von ExamFragen dauert ungefähr 20 Stunden. Dann können Sie Ihre Fachkenntnisse konsolidierern und sich gut auf die Google Security-Operations-Engineer Zertifizierungspr¨¹fung vorbereiten. Google Cloud Certified - Professional Security Operations Engineer (PSOE) Exam Security-Operations-Engineer Pr¨¹fungsfragen mit Lösungen (Q57-Q62):57. Frage
You are implementing Google Security Operations (SecOps) with multiple log sources. You want to closely monitor the health of the ingestion pipeline's forwarders and collection agents, and detect silent sources within five minutes. What should you do?
A. Create a notification in Cloud Monitoring using a metric-absence condition based on sample policy for each collector_id.
B. Create a Looker dashboard that queries the BigQuery ingestion metrics schema for each log_type and collector_id.
C. Create a Google SecOps SIEM dashboard to show the ingestion metrics for each log_type and collector_id.
D. Create an ingestion notification for health metrics in Cloud Monitoring based on the total ingested log count for each collector_id.
Antwort: A
Begr¨¹ndung:
The best solution is to create a Cloud Monitoring notification with a metric-absence condition for each collector_id. A metric-absence alert triggers when expected ingestion metrics are missing within a defined period (e.g., five minutes), which quickly identifies silent sources or failed collectors. This provides near real-time detection of ingestion health issues in the SecOps pipeline.
58. Frage
Your organization uses Security Command Center Enterprise (SCCE). You are creating models to detect anomalous behavior. You want to programmatically build an entity data structure that can be used to query the connections between resources in your Google Cloud environment. What should you do?
A. Use the Cloud Asset Inventory relationship table, and ingest the data into Spanner Graph.
B. Employ attack path simulation with high-value resource sets to simulate potential lateral movement.
C. Navigate to the Asset Query tab, and join resources from the Cloud Asset Inventory resource table.
Export the results to BigQuery for analysis.
D. Create a Bash script to iterate through various resource types using gcloud CLI commands, and export a CSV file. Load this data into BigQuery for analysis.
Antwort: A
Begr¨¹ndung:
Comprehensive and Detailed Explanation
The key requirement is to programmatically build a data structure to query the connections (i.e., a graph) between resources. Security Command Center (SCC) Enterprise is built upon the data provided by Cloud Asset Inventory (CAI).1 Cloud Asset Inventory provides two primary types of data: resources (the "nodes" of a graph) and relationships (the "edges" of a graph).2
* Option B is incorrect because it focuses on the resource table. While the resource table contains the assets themselves, it is the relationship table that specifically stores the connections between them (e.
g., a compute.googleapis.com/Instance is ATTACHED_TO a compute.googleapis.com/Network).
* Option A (attack path simulation) is a feature that consumes this graph data; it is not the method used to build the data structure for programmatic querying.
* Option C (Bash script) is a manual, inefficient, and incomplete method that would fail to capture the complex relationships that CAI tracks automatically.
* Option D is the correct solution. The Cloud Asset Inventory relationship table is the precise source for all resource connections. To effectively query these connections as an entity data structure (a graph), the ideal destination is a graph database. Spanner Graph is Google Cloud's managed graph database service, designed specifically for storing and querying highly interconnected data, making it the perfect tool for analyzing resource relationships and potential attack paths.3 Exact Extract from Google Security Operations Documents:
Relationships in Cloud Asset Inventory: Cloud Asset Inventory (CAI) provides relationship data, which allows you to understand the connections between your Google Cloud resources.4 CAI models relationships as a graph. You can export this relationship data for analysis. The relationship service stores information about the relationships between resources. For example, a Compute Engine instance might have a relationship with a persistent disk, or an IAM policy binding might have a relationship with a project.
Spanner Graph: Spanner Graph is a graph database built on Cloud Spanner that lets you store and query your graph data at scale.5 It is suitable for use cases that involve complex relationships, such as security analysis, fraud detection, and recommendation engines. By ingesting the Cloud Asset Inventory relationship table into Spanner Graph, you can programmatically execute graph queries to explore connections, identify high-risk assets, and model potential lateral movement paths.
References:
Google Cloud Documentation: Cloud Asset Inventory > Documentation > Analyzing asset relationships Google Cloud Documentation: Spanner > Documentation > Spanner Graph > Overview Google Cloud Documentation: Security Command Center > Documentation > Key concepts > Attack path simulation
59. Frage
You recently joined a company that uses Google Security Operations (SecOps) with Applied Threat Intelligence enabled. You have alert fatigue from a recent red team exercise, and you want to reduce the amount of time spent sifting through noise. You need to filter out IOCs that you suspect were generated due to the exercise. What should you do?
A. Navigate to the IOC Matches page. Review IOCs with an Indicator Confidence Score (IC-Score) label >= 80%.
B. Filter IOCs with an ingestion time that matches the time period of the red team exercise.
C. Ask Gemini to provide a list of IOCs from the red team exercise.
D. Navigate to the IOC Matches page. Identify and mute the IOCs from the red team exercise.
Antwort: D
Begr¨¹ndung:
The correct approach is to navigate to the IOC Matches page and mute the IOCs generated by the red team exercise. Muting these IOCs prevents them from triggering alerts, reducing noise while maintaining visibility into legitimate threats. This method directly targets the source of alert fatigue without affecting other IOC detections.
60. Frage
Your company's analyst team uses a playbook to make necessary changes to external systems that are integrated with the Google Security Operations (SecOps) platform. You need to automate the task to run once every day at a specific time. You want to use the most efficient solution that minimizes maintenance overhead.
A. Use a VM to host a script that runs a playbook via an API call.
B. Write a custom Google SecOps SOAR job in the IDE using the code from the existing playbook actions.
C. Create a Cron Scheduled Connector for this use case. Configure a playbook trigger to match the cases created by the connector that runs the playbook with the relevant actions.
D. Create a Google SecOps SOAR request and a playbook trigger to match the request from the user to start the playbook with the relevant actions.
Antwort: C
Begr¨¹ndung:
Comprehensive and Detailed 150 to 250 words of Explanation From Exact Extract Google Security Operations Engineer documents:
To execute a playbook on a fixed schedule (once every day) with minimal maintenance, the standard method in Google SecOps SOAR is to utilize a Scheduled Connector (often referred to as a Cron Connector or
"Simulate Alert" mechanism).
According to Google Security Operations SOAR documentation, playbooks are primarily triggered by alerts
/cases. To run a playbook without an external security event, you must generate a synthetic alert on a schedule. The Cron connector allows you to "configure a schedule (using Cron syntax) to ingest a dummy alert." You then configure a Playbook Trigger to match this specific dummy alert. When the connector fires at the scheduled time, it creates a case, which matches the trigger, and executes the playbook containing the necessary actions.
This solution is more efficient than Option A (Custom Job) or Option D (External Script) because it utilizes native "No-Code" configuration features, avoids managing external infrastructure, and keeps the logic within the visible Playbook visual editor rather than hidden in IDE code, complying with the "minimizes maintenance overhead" requirement.
References: Google Security Operations Documentation > SOAR > Connectors > Managing Connectors
61. Frage
You are using Google Security Operations (SecOps) to investigate suspicious activity linked to a specific user. You want to identify all assets the user has interacted with over the past seven days to assess potential impact. Your need to understand the user's relationships to endpoints, service accounts, and cloud resources. How should you identify user-to-asset relationships in Google SecOps?
A. Run a retrohunt to find rule matches triggered by the user.
B. Generate an ingestion report to identify sources where the user appeared in the last seven days.
C. Use the Raw Log Scan view to group events by asset ID.
D. Query for hostnames in UDM Search and filter the results by user.
Antwort: D
Begr¨¹ndung:
The correct approach is to query UDM Search for hostnames (or other asset identifiers) and filter results by the specific user. UDM normalizes logs into a common schema, allowing you to trace the user's interactions across endpoints, service accounts, and cloud resources within the seven- day window. This provides a comprehensive view of user-to-asset relationships for impact assessment.
62. Frage
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Aber das passiert nie, Als weltweiter F¨¹hrer im Bereich der Security-Operations-Engineer Übungswerkstätte, sind wir determiniert, unseren Kunden einen verständlichen Service anzubieten und einen integrierten Service aufzubauen.
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