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Google Security Operations Engineer (Beta) Sample Questions:

1. After resolving a confirmed security incident in Google Cloud, what action provides the GREATEST long-term security improvement?

A) Updating detections, playbooks, and IAM controls based on lessons learned
B) Closing all related alerts
C) Adding more analysts
D) Increasing log retention

2. Your organization is a Google Security Operations (SecOps) customer. The compliance team requires a weekly export of case resolutions and SLA metrics of high and critical severity cases over the past week. The compliance team's post- processing scripts require this data to be formatted as tabular data in CSV files, zipped, and delivered to their email each Monday morning.
What should you do?

A) Generate a report in SOAR Reports, and schedule delivery of the report.
B) Use statistics in search, and configure a Google SecOps SOAR job to format and send the report.
C) Build a detection rule with outcomes, and configure a Google SecOps SOAR job to format and send the report.
D) Build an Advanced Report in SOAR Reports, and schedule delivery of the report.

3. 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) Review the architecture of the tool to identify the cloud provider that hosts the tool.
B) 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.
C) Identify the tool in the Google SecOps Marketplace and verify support for the necessary actions in the workflow.
D) Review the documentation to identify if default parsers exist for the tool, and determine whether the logs are supported and able to be ingested.
E) 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.

4. You are using Google Security Operations (SecOps) to hunt for signs of lateral movement through Remote Desktop Protocol (RDP) in your organization. You suspect that a compromised account was used to access multiple internal systems within a short time window. You want to construct a UDM-based search to identify this activity. How should you build this query? (Choose two.)

A) Filter for RDP connections with non-standard ports.
B) Group events by user identity and time to identify repeated access patterns.
C) Filter for events using protocol-level attributes that indicate RDP connections.
D) Use a saved search to identify all events with the LATERAL MOVEMENT tag over the past 30 days.
E) Correlate events based on the asset role or classification such as database or user workstation.

5. You are writing a detection rule in Google Security Operations (SecOps) SIEM that sends a risk score to the alert. You have access to Google Threat Intelligence (GTI) data through your Google SecOps subscription. You need to ensure that the threat score output in the detection logic informs the alert's risk score and is available for future detections. What should you do?

A) Configure a feed in Google SecOps SIEM to ingest GTI data to automatically enrich the appropriate entities.
B) Use the match section of your detection logic to filter out irrelevant entities. Store the remaining entities as the risk_score variable.
C) Create a Google SecOps SOAR playbook to query GTI that uses the VirusTotal integration to enrich the alert. Modify the risk_score context value to match.
D) Use the outcomes section of your detection logic to pull UDM enrichment fields from the event data. Apply logic to determine the total risk outcome, and store the risk score as the risk_score variable

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