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Last Updated: Jul 24, 2026
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| Section | Weight | Objectives |
|---|---|---|
| Google Cloud Security Operations | 15-20% | - Automation with SOAR capabilities - Google Cloud logging and monitoring (Cloud Logging, Cloud Monitoring) - SIEM integration with Google Cloud services - Cloud-native threat detection - Security Command Center integration |
| Detection Engineering | 25-30% | - False positive management - SIEM platform usage (Chronicle, Splunk, etc.) - Log source integration and correlation - Designing and implementing detection rules - Threat hunting methodologies |
| Incident Response | 20-25% | - Post-incident reporting - Forensic analysis techniques - Incident classification and prioritization - Evidence collection and preservation - Root cause analysis |
| Foundations of Security Operations | 15-20% | - Understanding MITRE ATT&CK framework - Building a security operations center (SOC) - Logging and monitoring infrastructure - Security operations concepts and lifecycle |
| Threat Intelligence | 15-20% | - Intelligence-driven defense - Indicator of compromise (IOC) analysis - Threat intelligence sources and feeds - Threat actor profiling |
1. You are working with your company's analyst team to automate the investigation of phishing alerts ingested directly into Google Security Operations (SecOps) SOAR from an email inbox.
The analyst team currently uses a SIEM query to search for related information. You need to design a solution to automatically include the query results in the Google SecOps case without writing any new code. What should you do?
A) Add an action to the playbook that runs the SIEM query and returns the results.
B) Create a custom action in Google SecOps IDE that runs the SIEM query from a playbook through an API call and returns the results.
C) Modify the detection rule in the SIEM to include the query results as part of the detection.
D) Add a widget to the Default Case View in Google SecOps SOAR that allows the analyst team to query directly from the widget.
2. 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) Identify the tool in the Google SecOps Marketplace and verify support for the necessary actions in the workflow.
B) Review the documentation to identify if default parsers exist for the tool, and determine whether the logs are supported and able to be ingested.
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) 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.
E) Review the architecture of the tool to identify the cloud provider that hosts the tool.
3. You work for a large international company that has several Compute Engine instances running in production. You need to configure monitoring and alerting for Compute Engine instances tagged with compliance-pci that have an external IP address assigned. What should you do?
A) Deploy the compute.vmExternallpAccess organization policy constraint to prevent specific projects or folders with the compliance-pci tag from creating Compute Engine instances with external IP addresses.
B) Create a custom Event Threat Detection module that alerts when a Compute Engine instance with the compliance-pci tag is assigned an external IP address.
C) Use the PUBLIC_IP_ADDRESS Security Health Analytics (SHA) detector to identify Compute Engine instances with external IP addresses. Determine whether the compliance-pci tag exists on the instances.
D) Create a custom Security Health Analytics (SHA) module. Configure the detection logic to scan Cloud Asset Inventory data for compute.googleapis.com/Instance assets, and Search for the compliance-pci tag.
4. Which Google Cloud log source is MOST critical for detecting unauthorized IAM role changes?
A) VPC Flow Logs
B) Cloud DNS logs
C) Cloud Audit Logs - Admin Activity
D) Firewall Rules logs
5. 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) Deploy a third-party data pipeline management tool to ingest the logs, and transform the updated fields into fields supported by the default parser.
B) Use the web interface-based custom parser feature in Google SecOps to copy the parser, and modify it to map both fields to UDM.
C) Write a code snippet, and deploy it in a parser extension to map both fields to UDM.
D) Use the Extract Additional Fields tool in Google SecOps to convert the raw log entries to additional fields.
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: B | Question # 3 Answer: C | Question # 4 Answer: C | Question # 5 Answer: D |
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