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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Platform operations | 14% | - Monitor platform health and performance - Configure Security Command Center - Manage access and permissions - Manage Google Security Operations platform |
| Topic 2: Threat hunting | 19% | - Design and execute threat hunts - Document and share findings - Use threat intelligence in hunting - Analyze anomalies and behaviors |
| Topic 3: Observability | 10% | - Design monitoring and alerting strategies - Improve security visibility - Report security posture and risks - Analyze telemetry and metrics |
| Topic 4: Incident response | 21% | - Automate response workflows - Develop and use response playbooks - Contain and eradicate threats - Investigate security incidents |
| Topic 5: Data management | 14% | - Implement Unified Data Model (UDM) - Manage data retention and storage - Ingest and normalize logs and data - Validate data quality and completeness |
| Topic 6: Detection engineering | 22% | - Optimize detection logic and reduce false positives - Develop detection rules (YARA-L, Sigma) - Manage detection lifecycle - Implement threat intelligence into detections |
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NEW QUESTION # 109
You were recently hired as a SOC manager at an organization with an existing Google Security Operations (SecOps) implementation. You need to understand the current performance by calculating the mean time to respond or remediate (MTTR) for your cases. What should you do?
Answer: A
Explanation:
Google Security Operations (SecOps) SOAR is designed to natively measure and report on key SOC performance metrics, including MTTR. This calculation is automatically derived from playbook case stages.
As a case is ingested and processed by a SOAR playbook, it moves through distinct, customizable stages (e.g.,
"Triage," "Investigation," "Remediation," "Closed"). The SOAR platform automatically records a timestamp for each of these stage transitions. The time deltas between these stages (e.g., the time from when a case entered "Triage" to when it entered "Remediation") are the raw data used to calculate MTTR and other KPIs.
This data is then aggregated and visualized in the built-in SecOps SOAR reporting and dashboarding features.
This is the standard, out-of-the-box method for capturing these metrics. Option C describes a manual, redundant process of what case stages do automatically. Option D describes where the data might be viewed (Looker), but Option B describes the underlying mechanism for how the MTTR data is captured in the first place, which is the core of the question.
(Reference: Google Cloud documentation, "Google SecOps SOAR overview"; "Manage playbooks"; "Get insights from dashboards and reports")
NEW QUESTION # 110
You are implementing Google Security Operations (SecOps) for your organization. Your organization has their own threat intelligence feed that has been ingested to Google SecOps by using a native integration with a Malware Information Sharing Platform (MISP). You are working on the following detection rule to leverage the command and control (C2) indicators that were ingested into the entity graph.
What code should you add in the detection rule to filter for the domain IOCS?
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