GCP-SOE-B Prüfung & GCP-SOE-B Examsfragen

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Google GCP-SOE-B Exam Syllabus Topics:

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

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Google Security Operations Engineer (Beta) GCP-SOE-B Prüfungsfragen mit Lösungen (Q70-Q75):

70. Frage
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. Configure a feed in Google SecOps SIEM to ingest GTI data to automatically enrich the appropriate entities.
B. 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
C. Use the match section of your detection logic to filter out irrelevant entities. Store the remaining entities as the risk_score variable.
D. 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.

Antwort: B

71. Frage
Your company uses Google Security Operations (SecOps) Enterprise and is ingesting various logs. You need to proactively identify potentially compromised user accounts. Specifically, you need to detect when a user account downloads an unusually large volume of data compared to the user's established baseline activity. You want to detect this anomalous data access behavior using the least amount of effort. What should you do?

A. Create a log-based metric in Cloud Monitoring, and configure an alert to trigger if the data downloaded per user exceeds a predefined limit. Identify users who exceed the predefined limit in Google SecOps.
B. Enable curated detection rules for User and Endpoint Behavioral Analytics (UEBA), and use the Risk Analytics dashboard in Google SecOps to identify metrics associated with the anomalous activity.
C. Inspect Security Command Center (SCC) default findings for data exfiltration in Google SecOps.
D. Develop a custom YARA-L detection rule in Google SecOps that counts download bytes per user per hour and triggers an alert if a threshold is exceeded.

Antwort: B

72. Frage
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. Set a retention period for the BigQuery export.
B. Grant the Google SecOps service account the roles/bigquery.dataEditor IAM role on the dataset.
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.

Antwort: B

73. Frage
You are responsible for evaluating the level of effort required to integrate a new third-party endpoint detection tool with Google Security Operations (SecOps). Your organization's leadership wants to minimize customization for the new tool for faster deployment. You need to verify that the Google SecOps SOAR and SIEM support the expected workflows for the new third-party tool.
You must recommend a tool to your leadership team as quickly as possible. What should you do? (Choose two.)

A. Configure a Pub/Sub topic to ingest raw logs from the third-party tool and build custom YARA-L rules in Google SecOps to extract relevant security events.
B. Identify the tool in the Google SecOps Marketplace and verify support for the necessary actions in the workflow.
C. Develop a custom integration that uses Python scripts and Cloud Run functions to forward logs and orchestrate actions between the third-party tool and Google SecOps.
D. Review the documentation to identify if default parsers exist for the tool, and determine whether the logs are supported and able to be ingested.
E. Review the architecture of the tool to identify the cloud provider that hosts the tool.

Antwort: D

74. Frage
You have been tasked with creating a YARA-L detection rule in Google Security Operations (SecOps). The rule should identify when an internal host initiates a network connection to an external IP address that the Applied Threat Intelligence Fusion Feed associates with indicators attributed to a specific Advanced Persistent Threat 41 (APT41) threat group. You need to ensure that the external IP address is flagged if it has a documented relationship to other APT41 indicators within the Fusion Feed. How should you configure this YARA-L rule?

A. Configure the rule to check whether the external IP address from the network connection event has a high confidence score across any enabled threat intelligence feed.
B. Configure the rule to establish a join between the live network connection event and Fusion Feed data for the common external IP address. Filter the joined Fusion Feed data for explicit associations with the APT41 threat group or related indicators.
C. Configure the rule to trigger when the external IP address from the network connection event matches an entry in a manually pre-curated reference list of all APT41-related IP addresses.
D. Configure the rule to detect outbound network connections to the external IP address. Create a Google SecOps SOAR playbook that queries the Fusion Feed to determine if the IP address has an APT41 relationship.

Antwort: B

75. Frage
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