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Google Security Operations Engineer (Beta) Sample Questions:

1. You use Google Security Operations (SecOps) curated detections and YARA-L rules to detect suspicious activity on Windows endpoints. Your source telemetry uses EDR and Windows Events logs. Your rules match on the principal.user.userid UDM field. You need to ingest an additional log source for this field to match all possible log entries from your EDR and Windows Event logs. What should you do?

A) Ingest logs from Windows PowerShell.
B) Ingest logs from Windows Sysmon.
C) Ingest logs from Microsoft Entra I
D) Ingest logs from Windows Procmon.

2. You are the SOC manager at a large enterprise that uses Google Security Operations (SecOps).
You need to create a report that shows the Return on Investment (ROI) attributed to analyst activities in Google SecOps SOAR for the previous month. The report should include the time saved and efficiency gains from using SOAR's features. You need to generate this report using the most efficient and accurate approach while providing the required level of detail. What should you do?

A) Develop a Google SecOps SOAR playbook that automatically aggregates analyst performance metrics, incorporates custom weighted factors for different case types, calculates ROI based on predefined formulas, and generates a PDF report on a monthly schedule.
B) Create a custom Google SecOps SOAR search query that filters for all cases handled by specific analysts in the last month. Export the results to a spreadsheet for analysis and ROI calculation.
C) Use the filters and visualizations in the Management - SOC Status report in SOAR Reports to extract case-specific performance data.
D) Use the ROI - Analysts Benchmark report in SOAR Reports. Configure the report to display data for the desired time period, and filter by individual analysts.

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

4. Your team has onboarded a new log source from a third-party DNS filtering solution. After ingestion, you observe that key UDM fields such as network.dns.questions.name and metadata.product_event_type are missing from the parsed events in Google Security Operations (SecOps). You suspect that the default parser does not fully align with the source format. You need to ensure these fields are available for downstream detection rules that rely on DNS query telemetry and event categorization. What should you do?

A) Enable asset enrichment for the log source to infer missing fields based on correlated host activity.
B) Modify the ingestion source definition to remap raw fields directly to UDM by using the UDM sample output.
C) Create a parser extension that maps the missing source fields to the correct UDM fields and attach it to the existing parser.
D) Use a custom parser that outputs all fields as raw JSON for detection.

5. A SOC uses Chronicle SIEM and wants to reduce alert fatigue without lowering detection coverage. What is the BEST strategy?

A) Apply risk-based alert scoring and entity correlation
B) Limit alerts to business hours
C) Increase alert thresholds globally
D) Disable medium-severity rules

Solutions: