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Google Security Operations Engineer (Beta) Sample Questions:
1. You are working with your company's analyst team to automate the investigation of phishing alerts ingested directly into Google Security Operations (SecOps) SOAR from an email inbox.
The analyst team currently uses a SIEM query to search for related information. You need to design a solution to automatically include the query results in the Google SecOps case without writing any new code. What should you do?
A) Add a widget to the Default Case View in Google SecOps SOAR that allows the analyst team to query directly from the widget.
B) Create a custom action in Google SecOps IDE that runs the SIEM query from a playbook through an API call and returns the results.
C) Add an action to the playbook that runs the SIEM query and returns the results.
D) Modify the detection rule in the SIEM to include the query results as part of the detection.
2. Which Google Cloud log source is MOST critical for detecting unauthorized IAM role changes?
A) Firewall Rules logs
B) Cloud Audit Logs - Admin Activity
C) VPC Flow Logs
D) Cloud DNS logs
3. You are ingesting and parsing logs from an SSO provider and an on-premises appliance using Google Security Operations (SecOps). Users are tagged as "restricted" by an internal process. Restrictions last five days from the most recent flagging time. You need to create a rule to detect when restricted users log into the appliance. Your solution must be quickly implemented and easily maintained. What should you do?
A) Store the identifiers of the flagged users in the detection rule logic. Actively monitor for newly flagged users, and add them to the detection rule logic.
B) Store the flagged users in a data table column with their corresponding time to live values in a second column. Use row-based comparisons in your detection rule.
C) Use a Google SecOps SOAR global context value to store a list of flagged users with their corresponding time to live values. Use a SOAR job to dynamically build and deploy a new version of the detection rule with the updated list of flagged users.
D) Ingest the user flags as custom enrichment data using a feed. Use a multi-event detection rule to find logins from users flagged in the entity graph.
4. A SOC uses Chronicle SIEM and wants to reduce alert fatigue without lowering detection coverage. What is the BEST strategy?
A) Disable medium-severity rules
B) Increase alert thresholds globally
C) Limit alerts to business hours
D) Apply risk-based alert scoring and entity correlation
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) Use the match section of your detection logic to filter out irrelevant entities. Store the remaining entities as the risk_score variable.
B) Configure a feed in Google SecOps SIEM to ingest GTI data to automatically enrich the appropriate entities.
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
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: B | Question # 3 Answer: D | Question # 4 Answer: D | Question # 5 Answer: D |




