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Google GCP-SOE-B Exam Syllabus Topics:

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

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Google Security Operations Engineer (Beta) Sample Questions (Q27-Q32):

NEW QUESTION # 27
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.

Answer: B

NEW QUESTION # 28
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. Run a UDM search, and review aggregations for relevant process-related UDM fields.
B. Use the UDM lookup feature to identify relevant process- related UDM fields and values.
C. Review the Google SecOps SIEM Rules & Detections, and identify the most common processes appearing in alerts that are marked as false positives.
D. Generate a Google SecOps SIEM dashboard based on relevant UDM fields, such as processes, that provides the counts for process names and files.

Answer: A

NEW QUESTION # 29
Your organization's Google Security Operations (SecOps) tenant is ingesting a vendor's firewall logs in its default JSON format using the Google-provided parser for that log. The vendor recently released a patch that introduces a new field and renames an existing field in the logs. The parser does not recognize these two fields and they remain available only in the raw logs, while the rest of the log is parsed normally. You need to resolve this logging issue as soon as possible while minimizing the overall change management impact. What should you do?

A. Use the Extract Additional Fields tool in Google SecOps to convert the raw log entries to additional fields.
B. Deploy a third-party data pipeline management tool to ingest the logs, and transform the updated fields into fields supported by the default parser.
C. Write a code snippet, and deploy it in a parser extension to map both fields to UDM.
D. Use the web interface-based custom parser feature in Google SecOps to copy the parser, and modify it to map both fields to UDM.

Answer: A

NEW QUESTION # 30
You are conducting a proactive threat hunt in Google Security Operations (SecOps). You observe multiple login events with the same principal.user.userid field that originate from different countries within a short time window. You need to validate whether the account has been compromised. What should you do?

A. Use the entity graph to correlate the user's risk score with linked assets, and review any active alerts.
B. Perform a YARA-L 2.0 search for login events and their associated principal.location.country field. Use an outcome field to aggregate the number of failed logins.
C. Perform a UDM search for login events, and pivot to group results by user and country of origin.
D. Run a YARA-L retrohunt rule that detects users who are logging in from multiple regions using multiple entity contexts.

Answer: C

NEW QUESTION # 31
You are building a detection rule in Google Security Operations (SecOps) to alert on requests to potentially malicious domains. You are planning to use the logs from your network detection and response (NDR) solution but you need to reduce noise and narrow the scope of detections. You want to minimize cost and deploy the solution quickly. What should you do?

A. Build a Google SecOps SOAR playbook that enriches domain entities in alerts with VirusTotal information and auto-closes cases when no domains are classified as malicious.
B. Build a multi-event rule that correlates the domains found in your NDR logs with WHOIS context in the entity graph and sets the risk score based on domain creation time.
C. Ingest logs from your threat intelligence platform (TIP), and build a multi-event rule that correlates the domains found in your NDR logs with your threat intelligence data.
D. Ingest logs from a domain monitoring service, and build a multi-event rule that correlates the domains found in your NDR logs with your domain monitoring data.

Answer: C

NEW QUESTION # 32
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