GCP-SOE-B Simulationsfragen - GCP-SOE-B Prüfung

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Google GCP-SOE-B Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Platform Operations	14%	- Administer Google Threat Intelligence (GTI) integrations - Manage Google Security Operations (SecOps) platform settings - Configure and manage Security Command Center (SCC) resources
Topic 2: Detection Engineering	20%	- Implement automated detection workflows - Integrate detections with alerting and case management - Validate and tune detection logic to reduce false positives - Develop and maintain detection rules (YARA-L, Sigma)
Topic 3: Incident Response	18%	- Orchestrate and automate response actions - Document incidents and support remediation - Triage, prioritize, and investigate security alerts - Conduct forensic analysis and root cause determination
Topic 4: Observability and Reporting	8%	- Generate compliance and operational reports - Build dashboards and metrics for security posture - Monitor platform health and performance
Topic 5: Data Management	22%	- Optimize log and event data for analysis - Manage data retention, storage, and access policies - Plan and implement data ingestion pipelines - Normalize and map data to Unified Data Model (UDM)
Topic 6: Threat Hunting	18%	- Design and execute threat-hunting methodologies - Leverage threat intelligence to identify anomalies and threats - Document and report hunting findings - Use UDM search and query languages effectively

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Google Security Operations Engineer (Beta) GCP-SOE-B Prüfungsfragen mit Lösungen (Q66-Q71):

66. Frage
You have noticed that a Google Security Operations (SecOps) detection rule that detects excessive network connections is triggering too frequently and creating too many false positive alerts. You want to improve the rule to reduce the noise without reducing the effectiveness of the rule. What change to the detection rule should you implement?

A. Assign a risk score in the YARA-L outcome: section to prioritize alerts more effectively in the alert queue.
B. Add a threshold in the YARA-L condition: section to ensure that the rule only alerts after a certain number of connections.
C. Include a 10 minute timeframe for the same source and destination of network connections in the YARA-L match: section to aggregate the alerts.
D. Update the YARA-L events: section to exclude the most common IP addresses involved in the network connection alerts to reduce the number of alerts.

Antwort: B

67. Frage
You are reviewing the results of a UDM search in Google Security Operations (SecOps). The UDM fields shown in the default view are not relevant to your search. You want to be able to quickly view the relevant data for your analysis. What should you do?

A. Download the search results as a CSV file, and manipulate the data to display relevant data in a spreadsheet.
B. Select the events of interest, and choose the relevant UDM fields from the event view using the checkboxes. Copy, extract, and analyze the UDM fields, and refine the search query.
C. Use the columns feature to select or remove columns that are relevant to your analysis.
D. Create a Google SecOps SIEM dashboard based on the search you have run, and visualize the data in an appropriate table or graphical format.

Antwort: C

68. 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 Google SecOps SIEM dashboard to show the ingestion metrics for each log_type and collector_id.
C. Create a Looker dashboard that queries the BigQuery ingestion metrics schema 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

69. Frage
You are writing a Google Security Operations (SecOps) SOAR playbook that uses the VirusTotal v3 integration to look up a URL that was reported by a threat hunter in an email. You need to use the results to make a preliminary recommendation on the maliciousness of the URL and set the severity of the alert based on the output. What should you do? (Choose two.)

A. Use a conditional statement to determine whether to treat the URL as suspicious or benign.
B. Pass the response back to the SIEM.
C. Create a widget that translates the JSON output to a severity score.
D. Use the number of detections from the response JSON in a conditional statement to set the severity.
E. Verify that the response is accurate by manually checking the URL in VirusTotal

Antwort: A,D

70. Frage
You are investigating an alert in Google Security Operations (SecOps). You want to view previous enrichment attributes and relevant historical cases for an entity using the fewest number of steps. What should you do?

A. Select View Details for the entity in the Entity Highlights widget.
B. Select the entity identifier in the Entity Highlights widget to open Entity Explorer.
C. Initiate a SIEM Search to query the entity.
D. Initiate a SOAR Search to query the entity.

Antwort: B

71. Frage
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