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Google GCP-SOE-B Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| SIEM and SOAR Operations | - Alert triage and investigation - Case management and response automation |
| Cloud Security Monitoring | - IAM and access anomaly detection - Google Cloud Logging and Monitoring integration |
| Security Operations Fundamentals | - Threat detection and incident response lifecycle - Security monitoring and logging concepts |
| Google Security Operations (Chronicle) | - Detection rules and analytics - Log ingestion and normalization - Threat hunting workflows |
Google Security Operations Engineer (Beta) Sample Questions:
1. A SOC team notices repeated outbound HTTPS connections from a Compute Engine instance to an external IP every 60 seconds. CPU usage is normal and no malware signatures trigger. What is the BEST next analytical step?
A) Block the destination IP immediately
B) Power off the instance
C) Identify the process and service account generating the traffic
D) Notify executive leadership
2. 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) Use the web interface-based custom parser feature in Google SecOps to copy the parser, and modify it to map both fields to UDM.
D) Write a code snippet, and deploy it in a parser extension to map both fields to UDM.
3. 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) Create a custom filter to export the folder-level Cloud NAT logs.
B) Create a custom filter to export the project-level Cloud NAT logs for each project in the environment folder.
C) 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.
D) 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.
4. 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) 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.
B) 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.
C) Identify the tool in the Google SecOps Marketplace and verify support for the necessary actions in the workflow.
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.
5. You have noticed that a Google Security Operations (SecOps) detection rule that detects excessive network connections is triggering too frequently and creating too many false positive alerts. You want to improve the rule to reduce the noise without reducing the effectiveness of the rule. What change to the detection rule should you implement?
A) Update the YARA-L events: section to exclude the most common IP addresses involved in the network connection alerts to reduce the number of alerts.
B) Include a 10 minute timeframe for the same source and destination of network connections in the YARA-L match: section to aggregate the alerts.
C) Assign a risk score in the YARA-L outcome: section to prioritize alerts more effectively in the alert queue.
D) Add a threshold in the YARA-L condition: section to ensure that the rule only alerts after a certain number of connections.
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: A | Question # 3 Answer: C | Question # 4 Answer: D | Question # 5 Answer: D |
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