Reliable GCP-SOE-B Exam Prep - Quiz First-grade GCP-SOE-B Valid Security Operations Engineer (Beta) Test Practice

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Google GCP-SOE-B Exam Syllabus Topics:

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

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Google Security Operations Engineer (Beta) Sample Questions (Q13-Q18):

NEW QUESTION # 13
During a proactive threat hunting exercise, you discover that a critical production project has an external identity with a highly privileged IAM role. You suspect that this is part of a larger intrusion, and it is unknown how long this identity has had access. All logs are enabled and routed to a centralized organization-level Cloud Logging bucket, and historical logs have been exported to BigQuery datasets. You need to determine whether any actions were taken by this external identity in your environment. What should you do?

A. Analyze VPC Flow Logs exported to BigQuery, and correlate source IP addresses with potential login events for the external identity.
B. Analyze IAM recommender insights and Security Command Center (SCC) findings associated with the external identity.
C. Use Policy Analyzer to identity the resources that are accessible by the external identity. Examine the logs related to these resources in the centralized Cloud Logging bucket and the BigQuery dataset.
D. Execute queries against the centralized Cloud Logging bucket and the BigQuery dataset to filter for logs for where the principal email matches the external identity.

Answer: D

NEW QUESTION # 14
You are responsible for identifying suspicious activity and security events in your organization's environment. You discover that some detection rules are being triggered for internal IP addresses in the 192.0.2.0/8 subnet that are causing false positive alerts. You want to improve these detection rules. What should you add to the YARA-L detection rules?

A. not net.ip_in_range_cidr(all Se.principal.ip, "192.0.2.0/8")
B. net.ip_in_range_cidr(any Se.principal.ip, "192.0.2.0/8")
C. net.ip_in_range_cidr(all Se.principal.ip, "192.0.2.0/8")
D. not net.ip_in_range_cidr(any Se.principal.ip, "192.0.2.0/8")

Answer: D

NEW QUESTION # 15
You are an incident response engineer at an organization that uses Google Security Operations (SecOps). You recently started monitoring IOCS in Applied Threat Intelligence using YARA-L rules. You have discovered that there are more false positive alerts than expected, which is causing noise for the SOC team. You need to reduce the number of false positive alerts. What should you do?

A. Modify the YARA-L rules to use an indicator confidence score (IC-Score) of 60% and above.
B. Implement curated detections instead of custom YARA-L rules.
C. Configure alert grouping for the most repetitive alerts.
D. Create a playbook that automatically tunes the IOC source if its indicator confidence score (IC- Score) is between 60% and 80%.

Answer: A

NEW QUESTION # 16
You need to ingest audit logs from your organization's entire Google Cloud environment into Google Security Operations (SecOps). This process must include Cloud NAT logs for workloads within a designated folder. You need to configure this ingestion while minimizing integration complexity. You have already enabled Google Cloud data ingestion into Google SecOps. What should you do next?

A. Configure an aggregated log sink at the organization level, and route the Cloud NAT logs to a Cloud Storage bucket. Configure the Cloud Storage connector for Google SecOps.
B. Configure an aggregated log sink at the folder level, and route the Cloud NAT logs to Pub/Sub. Enable the Pub/Sub connector for Google SecOps.
C. Create a custom filter to export the project-level Cloud NAT logs for each project in the environment folder.
D. Create a custom filter to export the folder-level Cloud NAT logs.

Answer: B

NEW QUESTION # 17
You scheduled a Google Security Operations (SecOps) report to export results to a BigQuery dataset in your Google Cloud project. The report executes successfully in Google SecOps, but no data appears in the dataset. You confirmed that the dataset exists. How should you address this export failure?

A. Grant the Google SecOps service account the roles/bigquery.dataEditor IAM role on the dataset.
B. Set a retention period for the BigQuery export.
C. Grant the user account that scheduled the report the roles/bigquery.dataEditor IAM role on the project.
D. Grant the Google SecOps service account the roles/iam.serviceAccountUser IAM role to itself.

Answer: A

NEW QUESTION # 18
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