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NEW QUESTION # 90
Your organization recently acquired a Google Security Operations (SecOps) Enterprise Plus license. Your organization is already ingesting Cloud Audit Logs, firewall logs, proxy logs and endpoint logs, but there are no threat intelligence feeds being ingested into your Google SecOps environment. You need to design and deploy a solution that alerts your team quickly if an IOC of an active breach is observed in your environment. What should you do?
Answer: B
Explanation:
The fastest and most effective way to alert on IOCs in Google SecOps is to enable and configure curated detection rule sets. These curated rules are maintained by Google and automatically updated with the latest threat intelligence, ensuring that if an IOC from an active breach is observed in your ingested logs, your team will receive alerts without the need to manually create or maintain custom rules.
NEW QUESTION # 91
You have been tasked with creating a YARA-L detection rule in Google Security Operations (SecOps). The rule should identify when an internal host initiates a network connection to an external IP address that the Applied Threat Intelligence Fusion Feed associates with indicators attributed to a specific Advanced Persistent Threat 41 (APT41) threat group. You need to ensure that the external IP address is flagged if it has a documented relationship to other APT41 indicators within the Fusion Feed. How should you configure this YARA-L rule?
Answer: D
Explanation:
The correct configuration is to join live network connection events with Fusion Feed data on the external IP address and filter for explicit associations with APT41 or related indicators. This ensures that the detection not only matches direct IP addresses but also flags those with documented relationships to APT41 in the Fusion Feed, providing broader and more accurate detection than static lists or general confidence scores.
NEW QUESTION # 92
You are a SOC analyst at an organization that uses Google Security Operations (SecOps). You are investigating suspicious activity in your organization's environment. Alerts in Google SecOps indicate repeated PowerShell activity on a set of endpoints. Outbound connections are made to a domain that does not appear in your threat intelligence feeds. The activity occurs across multiple systems and user accounts. You need to search across impacted systems and user identities to identify the malicious user and understand the scope of the compromise. What should you do?
Answer: D
Explanation:
The most effective approach is to perform a YARA-L 2.0 search that correlates activity across impacted systems and user identities. YARA-L rules can link PowerShell execution events, outbound connections, and user activity, enabling you to identify the malicious user and the scope of the compromise efficiently, rather than relying on manual log searches or only analyzing authentication trends.
NEW QUESTION # 93
You are a SOC manager guiding an implementation of your existing incident response plan (IRP) into Google Security Operations (SecOps). You need to capture time duration data for each of the case stages. You want your solution to minimize maintenance overhead. What should you do?
Answer: B
Explanation:
Comprehensive and Detailed 150 to 250 words of Explanation From Exact Extract Google Security Operations Engineer documents:
This requirement is a core, out-of-the-box feature of the Google SecOps SOAR platform. The solution with the minimal maintenance overhead is always the native, built-in one. The platform is designed to measure SOC KPIs (like MTTR) by tracking Case Stages.
A SOC manager first defines their organization's incident response stages (e.g., "Triage," "Investigation,"
"Remediation") in the SOAR settings. Then, as playbooks are built, the Change Case Stage action is added to the workflow. When a playbook runs, it triggers this action, and the SOAR platform automatically timestamps the exact moment a case transitions from one stage to the next.
This creates the precise time-duration data needed for metrics. This data is then automatically available for the built-in dashboards and reporting tools (as mentioned in Option A, which is the result of Option B). Option D (custom IDE job) and Option C (detection rule) are incorrect, high-maintenance, and non-standard ways to accomplish a task that is a fundamental feature of the SOAR platform.
(Reference: Google Cloud documentation, "Google SecOps SOAR overview"; "Get insights from dashboards and reports"; "Manage playbooks")
NEW QUESTION # 94
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?
Answer: D
Explanation:
This is a standard Identity and Access Management (IAM) permission issue. When Google Security Operations (SecOps) exports data, it uses its own service account (often named service-
<project_number>@gcp-sa-bigquerydatatransfer.iam.gserviceaccount.com or a similar SecOps-specific principal) to perform the write operation. The user account that schedules the report (Option C) is only relevant for the scheduling action, not for the data transfer itself. For the export to succeed, the Google SecOps service account principal must have explicit permission to write data into the target BigQuery dataset.
The predefined IAM role roles/bigquery.dataEditor grants the necessary permissions to create, update, and delete tables and table data within a dataset. By granting this role to the Google SecOps service account on the specific dataset, you authorize the service to write the report results and populate the tables. Option A (serviceAccountUser) is incorrect as it's used for service account impersonation, not for granting data access.
Option B (retention period) is a data lifecycle setting and has no impact on the ability to write new data. The most common cause for this exact scenario-a successful job run with no data appearing-is that the service account lacks the required bigquery.dataEditor permissions on the destination dataset.
(Reference: Google Cloud documentation, "Troubleshoot transfer configurations"; "Control access to resources with IAM"; "BigQuery predefined IAM roles")
NEW QUESTION # 95
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