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Google Security Operations Engineer (Beta) Sample Questions:
1. 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 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.
B) 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.
C) 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.
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.
2. You have identified a new threat actor group that has several IOCs in Google Threat Intelligence. You want to use some of these IOCs in several detection rules in Google Security Operations (SecOps) to help identify suspicious activity. You want to use the most effective approach. What should you do?
A) Identify the detection rules that apply to the new IOCS, and update the YARA-L logic to reference the threat actor group.
B) Save the IOCs in a new collection in Google Threat Intelligence. Share this list with other members of the security team to facilitate their searches and rule creation.
C) Add the IOCs to a new or existing reference list, and update the YARA-L logic of detection rules to include the reference list.
D) Configure a new data feed in Google SecOps that includes the IOCS. Update the YARA-L logic to reference the new IOCS against applicable UDM fields.
3. Which Google Cloud security feature MOST helps enforce the principle of least privilege at scale?
A) Cloud NAT
B) IAM predefined roles and conditional IAM policies
C) VPC Firewall Rules
D) Binary Authorization
4. You are responsible for developing and configuring data ingestion in Google Security Operations (SecOps) for your organization. Your organization is using a prebuilt parser to parse a complex but stable and common log source. The parser is working correctly. However, your organization now wants you to change the configuration to parse additional fields from the raw logs and map them to UDM fields. What should you do?
A) Design and develop a custom parser.
B) Implement middleware to modify the underlying data structure.
C) Implement a parser extension on top of the prebuilt parser.
D) Apply any pending updates to the prebuilt parser.
5. 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) Build a detection rule with outcomes, and configure a Google SecOps SOAR job to format and send the report.
B) Use statistics in search, and configure a Google SecOps SOAR job to format and send the report.
C) Generate a report in SOAR Reports, and schedule delivery of the report.
D) Build an Advanced Report in SOAR Reports, and schedule delivery of the report.
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: C | Question # 3 Answer: B | Question # 4 Answer: C | Question # 5 Answer: B |






