Google GCP-SOE-B模擬問題集: Security Operations Engineer (Beta) - GoShiken簡単に勉強できるようにします

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Google GCP-SOE-B Exam Syllabus Topics:

Section	Weight	Objectives
Detection Engineering	25-30%	- SIEM platform usage (Chronicle, Splunk, etc.) - Designing and implementing detection rules - Threat hunting methodologies - Log source integration and correlation - False positive management
Foundations of Security Operations	15-20%	- Security operations concepts and lifecycle - Understanding MITRE ATT&CK framework - Building a security operations center (SOC) - Logging and monitoring infrastructure
Threat Intelligence	15-20%	- Threat actor profiling - Threat intelligence sources and feeds - Intelligence-driven defense - Indicator of compromise (IOC) analysis
Incident Response	20-25%	- Post-incident reporting - Root cause analysis - Evidence collection and preservation - Forensic analysis techniques - Incident classification and prioritization
Google Cloud Security Operations	15-20%	- Google Cloud logging and monitoring (Cloud Logging, Cloud Monitoring) - Cloud-native threat detection - Automation with SOAR capabilities - SIEM integration with Google Cloud services - Security Command Center integration

>> GCP-SOE-B模擬問題集 <<

GCP-SOE-B復習テキスト、GCP-SOE-B試験

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Google Security Operations Engineer (Beta) 認定 GCP-SOE-B 試験問題 (Q67-Q72):

質問 # 67
You work for an organization that uses Security Command Center (SCC) with Event Threat Detection (ETD) enabled. You need to enable ETD detections for data exfiltration attempts from designated sensitive Cloud Storage buckets and BigQuery datasets. You want to minimize Cloud Logging costs. What should you do?

A. Enable "data read" audit logs only for the designated sensitive Cloud Storage buckets and BigQuery datasets.
B. Enable VPC Flow Logs for the VPC networks containing resources that access the sensitive Cloud Storage buckets and BigQuery datasets.
C. Enable "data read" and "data write" audit logs for all Cloud Storage buckets and BigQuery datasets throughout the organization.
D. Enable "data read" and "data write" audit logs only for the designated sensitive Cloud Storage buckets and BigQuery datasets.

正解：A

質問 # 68
You are responsible for developing and configuring data ingestion in Google Security Operations (SecOps) for your organization. Your organization is using a prebuilt parser to parse a complex but stable and common log source. The parser is working correctly. However, your organization now wants you to change the configuration to parse additional fields from the raw logs and map them to UDM fields. What should you do?

A. Design and develop a custom parser.
B. Implement a parser extension on top of the prebuilt parser.
C. Apply any pending updates to the prebuilt parser.
D. Implement middleware to modify the underlying data structure.

正解：B

質問 # 69
You are responsible for selecting and prioritizing potential sources of data to integrate with Google Security Operations (SecOps). Your company has recently started using several Google Cloud services to increase security in its Google Cloud organization. You need to determine which logs should be ingested into Google SecOps to reduce the effort required to write detections. What should you do?

A. Use Google Threat Intelligence to gain insight about threat group behavior and support threat hunting activities.
B. Ingest Google Cloud Armor logs by using Cloud Logging.
C. Integrate Security Command Center (SCC) into Google SecOps to ingest logs originating from the Google Cloud services.
D. Deploy a Bindplane agent to ingest event logs from Compute Engine VMs that provide endpoint visibility.

正解：C

質問 # 70
You are writing a detection rule in Google Security Operations (SecOps) SIEM that sends a risk score to the alert. You have access to Google Threat Intelligence (GTI) data through your Google SecOps subscription. You need to ensure that the threat score output in the detection logic informs the alert's risk score and is available for future detections. What should you do?

A. Use the outcomes section of your detection logic to pull UDM enrichment fields from the event data. Apply logic to determine the total risk outcome, and store the risk score as the risk_score variable
B. Create a Google SecOps SOAR playbook to query GTI that uses the VirusTotal integration to enrich the alert. Modify the risk_score context value to match.
C. Use the match section of your detection logic to filter out irrelevant entities. Store the remaining entities as the risk_score variable.
D. Configure a feed in Google SecOps SIEM to ingest GTI data to automatically enrich the appropriate entities.

正解：A

質問 # 71
A SOC uses Chronicle SIEM and wants to reduce alert fatigue without lowering detection coverage. What is the BEST strategy?

A. Apply risk-based alert scoring and entity correlation
B. Limit alerts to business hours
C. Disable medium-severity rules
D. Increase alert thresholds globally

正解：A

質問 # 72
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GCP-SOE-B復習テキスト: https://www.goshiken.com/Google/GCP-SOE-B-mondaishu.html