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| Section | Weight | Objectives |
|---|---|---|
| Incident response | 21% | - Develop and use response playbooks - Automate response workflows - Contain and eradicate threats - Investigate security incidents |
| Observability | 10% | - Report security posture and risks - Design monitoring and alerting strategies - Analyze telemetry and metrics - Improve security visibility |
| Platform operations | 14% | - Monitor platform health and performance - Manage access and permissions - Configure Security Command Center - Manage Google Security Operations platform |
| Data management | 14% | - Validate data quality and completeness - Implement Unified Data Model (UDM) - Manage data retention and storage - Ingest and normalize logs and data |
| Threat hunting | 19% | - Analyze anomalies and behaviors - Design and execute threat hunts - Document and share findings - Use threat intelligence in hunting |
| Detection engineering | 22% | - Manage detection lifecycle - Optimize detection logic and reduce false positives - Implement threat intelligence into detections - Develop detection rules (YARA-L, Sigma) |
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NEW QUESTION # 29
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 2 answers
Answer: C,E
Explanation:
Comprehensive and Detailed Explanation
The core task is to evaluate a new tool for fast, low-customization deployment across the entire Google SecOps platform (SIEM and SOAR). This requires checking the two main integration points: data ingestion (SIEM) and automated response (SOAR).
* SIEM Ingestion (Option B): To minimize customization for the SIEM, you must verify that Google SecOps can ingest and understand the tool's logs out-of-the-box. This is achieved by checking the Google SecOps documentation for a default parser for that specific tool. If a default parser exists, the logs will be automatically normalized into the Unified Data Model (UDM) upon ingestion, requiring zero custom development.
* SOAR Orchestration (Option C): To minimize customization for SOAR, you must verify that pre- built automated actions exist. The Google SecOps Marketplace contains all pre-built SOAR integrations (connectors). By finding the tool in the Marketplace, you can verify which actions (e.g.,
"Quarantine Host," "Get Process List") are supported, confirming that response playbooks can be built quickly without custom scripting.
Options D and E describe high-effort, custom integration paths, which are the exact opposite of the "minimize customization for faster deployment" requirement.
Exact Extract from Google Security Operations Documents:
Default parsers: Google Security Operations (SecOps) provides a set of default parsers that support many common security products. When logs are ingested from a supported product, SecOps automatically applies the correct parser to normalize the raw log data into the structured Unified Data Model (UDM) format. This is the fastest method to begin ingesting and analyzing new data sources.
Google SecOps Marketplace: The SOAR component of Google SecOps includes a Marketplace that contains a large library of pre-built integrations for common third-party security tools, including EDR, firewalls, and identity providers. Before purchasing a new tool, an engineer should verify its presence in the Marketplace and review the list of supported actions to ensure it meets the organization's automation and orchestration workflow requirements.
References:
Google Cloud Documentation: Google Security Operations > Documentation > Ingestion > Default parsers > Supported default parsers Google Cloud Documentation: Google Security Operations > Documentation > SOAR > Marketplace integrations
NEW QUESTION # 30
During a high-priority phishing incident at your company, Google Security Operations (SecOps) created and assigned the case to a Tier 1 analyst. The analyst added email headers and attached the malicious file as evidence but failed to escalate the case, violating an internal SLA of
30 minutes for a phishing response. The delay led to multiple users opening the file before containment actions were initiated. You want to optimize the case management workflow for future high-priority incidents. What should you do?
Answer: C
Explanation:
To ensure timely escalation for high-priority phishing incidents, you should configure a SOAR notification loop that sends escalating alerts to Tier 1 analysts, Tier 2 analysts, and the SOC manager at regular intervals until the case is reassigned or acted upon. This enforces SLA compliance and ensures that delays do not allow threats to propagate, optimizing the case management workflow without relying solely on manual escalation.
NEW QUESTION # 31
Your organization has recently onboarded to Google Cloud with Security Command Center Enterprise (SCCE) and is now integrating it with your organization's SOC. You want to automate the response process and integrate with the existing SOW ticketing system. How should you implement this functionality?
Answer: A
Explanation:
The correct solution is to configure the SCC notifications feed to Pub/Sub and then use a Cloud Run function triggered by new events in the topic to call the SOC ticketing system's API. This automates ticket creation for findings, integrates seamlessly with the existing SOC process, and minimizes manual intervention while ensuring timely response.
NEW QUESTION # 32
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: C
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 # 33
A phishing campaign successfully convinces users to grant OAuth permissions to a malicious third-party application. Which control failure MOST likely allowed this?
Answer: C
Explanation:
OAuth abuse bypasses malware controls and depends on identity and consent misconfigurations.
NEW QUESTION # 34
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