Hilfsreiche Prüfungsunterlagen verwirklicht Ihren Wunsch nach der Zertifikat der Security Operations Engineer (Beta)

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Google GCP-SOE-B Exam Syllabus Topics:

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

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GCP-SOE-B German & GCP-SOE-B Prüfungs

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Google Security Operations Engineer (Beta) GCP-SOE-B Prüfungsfragen mit Lösungen (Q21-Q26):

21. Frage
Your organization uses Google Security Operations (SecOps) for security analysis and investigation. Your organization has decided that all security cases related to Data Loss Prevention (DLP) events must be categorized with a defined root cause specific to one of five DLP event types when the case is closed in Google SecOps. How should you achieve this?

A. Customize the Case Name format to include the DLP event type.
B. Customize the Close Case dialog and add the five DLP event types as root cause options.
C. Create case tags in Google SecOps SOAR where each tag contains a unique definition of each of the five DLP event types, and have analysts assign them to cases manually.
D. Create a Google SecOps SOAR playbook that automatically assigns case tags where each tag contains the unique definition of one of the five DLP event types.

Antwort: B

22. Frage
You work at a financial services company. You need to detect in near real-time when a Cloud Run functions service agent modifies the IAM policy of an Artifact Registry repository. You plan to use Security Command Center (SCC). You want to follow the Google-recommended approach.
What should you do?

A. Create a custom Security Health Analytics (SHA) detector that scans Artifact Registry repositories for IAM policy changes. When a change is detected identify the principal that made the change.
B. Configure a Cloud Logging log sink to export all IAM policy changes to BigQuery, and create a custom dashboard in SCC to visualize the data.
C. Use Event Threat Detection in SCC with a custom unexpected Cloud API call rule that detects when a specified principal calls a method against a resource.
D. Implement a Cloud Run function that is triggered by IAM policy changes within the project and sends an alert to SCC using the Security Command Center API.

Antwort: C

23. 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 an ingestion notification for health metrics in Cloud Monitoring based on the total ingested log count for each collector_id.
D. Create a Looker dashboard that queries the BigQuery ingestion metrics schema for each log_type and collector_id.

Antwort: A

24. Frage
Your Google Security Operations (SecOps) instance is generating a high volume of alerts related to an IP address that recently appeared in a threat intelligence feed. The IP address is flagged as a known command and control (C2) server by multiple vendors. The IP address appears in repeated DNS queries originating from a sandboxing system and test environment used by your malware analysis team. You want to avoid alert fatigue while preserving visibility in the event that the IOC reappears in real production telemetry. What should you do?

A. Temporarily disable the rule to avoid unnecessary alerts until the IOC expires in the threat feed.
B. Add an exception in the detection rule to exclude matches originating from specific asset groups.
C. Add the IP address to a Google SecOps reference list, and configure the rule to suppress alerts for that list.
D. Reduce the severity score in the rule configuration when the IOC match occurs in any internal IP address range.

Antwort: B

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

Antwort: B,D

26. Frage
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