Free Security-Operations-Engineer Exam Braindumps
Professional Security Operations Engineer Questions 61–65 (page: 14)

Updated On: 10-Feb-2026

You are a security analyst at a company that uses Google Security Operations (SecOps) Enterprise. Security Command Center Enterprise (SCCE), and Google Threat Intelligence (GTI). You need to leverage threat intelligence to improve threat hunting capabilities to proactively identify novel and emerging attack patterns targeting your Google Cloud environment in near real-time.
What should you do?

  1. Use the built-in threat intelligence of Event Threat Detection in SCCE to detect relevant threats.
  2. Configure an Applied Threat Intelligence Fusion Feed in Google SecOps, and develop YARA-L detection rules to search ingested Google Cloud telemetry for patterns matching this intelligence.
  3. Route all Google Cloud logs to a dedicated BigQuery dataset, and use scheduled queries with curated open-source threat intelligence feeds.
  4. Configure Google Cloud Armor security policies with preconfigured web application firewall (WAF) rule sets, and enable Adaptive Protection to use GTI.

Answer(s): B

Explanation:

The correct solution is to configure an Applied Threat Intelligence Fusion Feed in Google SecOps and then develop YARA-L detection rules to search your Google Cloud telemetry for attack patterns tied to this intelligence. This enables proactive, near real-time hunting of novel and emerging threats by correlating threat intelligence with your organization's ingested data.



You are developing a playbook to respond to phishing reports from users at your company. You configured a UDM query action to identify all users who have connected to a malicious domain. You need to extract the users from the UDM query and add them as entities in an alert so the playbook can reset the password for those users. You want to minimize the amount of effort required by the SOC analyst.
What should you do?

  1. Use the Create Entity action from the Siemplify integration. Use the Expression Builder to create a placeholder with the usernames in the Entities Identifier parameter.
  2. Create a case for each identified user with the user designated as the entity.
  3. Implement an Instruction action from the Flow integration that instructs the analyst to add the entities in the Google SecOps user interface.
  4. Configure a manual Create Entity action from the Siemplify integration that instructs the analyst to input the Entities Identifier parameter based on the results of the action.

Answer(s): A

Explanation:

The most efficient method is to use the Create Entity action from the Siemplify integration and leverage the Expression Builder to automatically extract usernames from the UDM query results and populate them into the Entities Identifier parameter. This minimizes manual effort, ensures accurate entity creation, and enables the playbook to proceed with automated remediation such as password resets.



You are a security engineer at a financial technology company. You need to create a centralized dashboard to provide security posture visibility for your leadership team. The dashboard must meet these requirements:

Provide insights from Security Command Center (SCC) findings and security-related events captured in

Cloud Logging.

Support large volumes of historical data.

Be able to join SCC findings and audit logs.

You want to use the most effective visualization solution that uses Google Cloud managed services.
What should you do?

  1. Ingest the SCC findings and Cloud Audit Logs into a Cloud Storage bucket. Write a Python script that reads the data and uses Matplotlib to create the visualizations.
  2. Create custom metrics in Cloud Monitoring based on the SCC findings, and configure log-based metrics for security-related events. Build Cloud Monitoring dashboards to visualize these custom and log-based metrics.
  3. Export SCC findings and Cloud Audit Logs to BigQuery. Connect Looker Studio to the BigQuery datasets, and create the visualizations and filters.
  4. Use the built-in SCC dashboard to visualize the SCC finding, and extract log counts for specific log events from Cloud Audit Logs.

Answer(s): C

Explanation:

The most effective approach is to export SCC findings and Cloud Audit Logs into BigQuery, which supports large-scale storage and querying of historical data. You can then connect Looker Studio to BigQuery to create a centralized dashboard that visualizes and joins SCC findings with audit logs. This leverages fully managed Google Cloud services and provides scalability, flexibility, and real-time reporting for leadership visibility.



Your organization has mission-critical production Compute Engine VMS that you monitor daily.
While performing a UDM search in Google Security Operations (SecOps), you discover several outbound network connections from one of the production VMs to an unfamiliar external IP address occurring over the last 48 hours. You need to use Google SecOps to quickly gather more context and assess the reputation of the external IP address.
What should you do?

  1. Examine the Google SecOps Asset view details for the production VM.
  2. Create a new detection rule to alert on future traffic from the external IP address.
  3. Search for the external IP address in the Alerts & IOCs page in Google SecOps.
  4. Perform a UDM search to identify the specific user account that was logged into the production VM when the connections occurred.

Answer(s): C

Explanation:

The fastest way to gather context and assess the reputation of the unfamiliar external IP is to search for the IP in the Alerts & IOCs page in Google SecOps. This page integrates with Google Threat Intelligence and enrichment data, allowing you to quickly evaluate whether the IP is malicious and see any related alerts or indicators in your environment.



You are responsible for identifying suspicious activity and security events in your organization's environment. You discover that some detection rules are being triggered for internal IP addresses in the 192.0.2.0/8 subnet that are causing false positive alerts. You want to improve these detection rules.
What should you add to the YARA-L detection rules?

  1. net.ip_in_range_cidr(all Se.principal.ip, "192.0.2.0/8")
  2. net.ip_in_range_cidr(any Se.principal.ip, "192.0.2.0/8")
  3. not net.ip_in_range_cidr(all Se.principal.ip, "192.0.2.0/8")
  4. not net.ip_in_range_cidr(any Se.principal.ip, "192.0.2.0/8")

Answer(s): D

Explanation:

To reduce false positives from internal IP addresses in the 192.0.2.0/8 subnet, you need to exclude them in the detection rule. The correct syntax is to use not net.ip_in_range_cidr(any Se.principal.ip, "192.0.2.0/8"). This ensures that alerts are not triggered for events originating from internal addresses while still detecting truly suspicious external activity.



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