GCP-SOE-B Security Operations Engineer (Beta) Pass4sure Zertifizierung & Security Operations Engineer (Beta) zuverlässige Prüfung Übung

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Google GCP-SOE-B Exam Syllabus Topics:

Section	Objectives
Topic 1: Security Operations Fundamentals	- Security monitoring and logging concepts - Threat detection and incident response lifecycle
Topic 2: Google Security Operations (Chronicle)	- Log ingestion and normalization - Threat hunting workflows - Detection rules and analytics
Topic 3: SIEM and SOAR Operations	- Alert triage and investigation - Case management and response automation
Topic 4: Cloud Security Monitoring	- IAM and access anomaly detection - Google Cloud Logging and Monitoring integration

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GCP-SOE-B Online Tests & GCP-SOE-B Echte Fragen

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Google Security Operations Engineer (Beta) GCP-SOE-B Prüfungsfragen mit Lösungen (Q67-Q72):

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

Antwort: D,E

68. Frage
You are a SOC manager guiding an implementation of your existing incident response plan (IRP) into Google Security Operations (SecOps). You need to capture time duration data for each of the case stages. You want your solution to minimize maintenance overhead. What should you do?

A. Write a job in the IDE that runs frequently to check the progress of each case and updates the notes with timestamps to reflect when these changes were identified.
B. Create a Google SecOps SOAR dashboard that displays specific actions that have been run, identifies which stage a case is in, and calculates the time elapsed since the start of the case.
C. Configure a detection rule in SIEM Rules & Detections to include logic to capture the event fields for each case with the relevant stage metrics.
D. Configure Case Stages in the Google SecOps SOAR settings, and use the Change Case Stage action in your playbooks that captures time metrics when the stage changes.

Antwort: D

69. Frage
A phishing campaign successfully convinces users to grant OAuth permissions to a malicious third-party application. Which control failure MOST likely allowed this?

A. Weak endpoint protection
B. Missing email sandboxing
C. Missing antivirus signatures
D. Lack of monitoring and restriction on OAuth consent grants

Antwort: D

70. Frage
Your organization uses Google Security Operations (SecOps). You need to identify the most commonly occurring processes and applications across your organization's large number of servers so you can implement baselines and exclusion lists on a regular basis. You want to use the most efficient approach. What should you do?

A. Review the Google SecOps SIEM Rules & Detections, and identify the most common processes appearing in alerts that are marked as false positives.
B. Use the UDM lookup feature to identify relevant process- related UDM fields and values.
C. Run a UDM search, and review aggregations for relevant process-related UDM fields.
D. Generate a Google SecOps SIEM dashboard based on relevant UDM fields, such as processes, that provides the counts for process names and files.

Antwort: C

71. Frage
You are investigating whether an advanced persistent threat (APT) actor has operated in your organization's environment undetected. You have received threat intelligence that includes:
- A SHA256 hash for a malicious DLL
- A known command and control (C2) domain
- A behavior pattern where rundll32.exe spawns powershell.exe with obfuscated arguments Your Google Security Operations (SecOps) instance includes logs from EDR, DNS, and Windows Sysmon. However, you have recently discovered that process hashes are not reliably captured across all endpoints due to an inconsistent Sysmon configuration. You need to use Google SecOps to develop a detection mechanism that identifies the associated activities. What should you do?

A. Write a multi-event YARA-L detection rule that correlates the process relationship and hash, and run a retrohunt based on this rule.
B. Build a reference list that contains the hash and domain, and link the list to a high-frequency rule for near real-time alerting.
C. Create a single-event YARA-L detection rule based on the file hash, and run the rule against historical and incoming telemetry to detect the DLL execution.
D. Use Google SecOps search to identify recent uses of rundll32.exe, and tag affected assets for watchlisting.

Antwort: A

72. Frage
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