Google Cloud Certified GCP-SOE-B

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Google GCP-SOE-B Exam Syllabus Topics:

Google Security Operations Engineer (Beta) Sample Questions:

1. Your organization uses Google Security Operations (SecOps) for security analysis and investigation. Your organization has decided that all security cases related to Data Loss Prevention (DLP) events must be categorized with a defined root cause specific to one of five DLP event types when the case is closed in Google SecOps. How should you achieve this?

A) Create a Google SecOps SOAR playbook that automatically assigns case tags where each tag contains the unique definition of one of the five DLP event types.
B) Customize the Close Case dialog and add the five DLP event types as root cause options.
C) Customize the Case Name format to include the DLP event type.
D) Create case tags in Google SecOps SOAR where each tag contains a unique definition of each of the five DLP event types, and have analysts assign them to cases manually.

2. You are conducting a proactive threat hunt in Google Security Operations (SecOps). You observe multiple login events with the same principal.user.userid field that originate from different countries within a short time window. You need to validate whether the account has been compromised. What should you do?

A) Perform a UDM search for login events, and pivot to group results by user and country of origin.
B) Use the entity graph to correlate the user's risk score with linked assets, and review any active alerts.
C) Perform a YARA-L 2.0 search for login events and their associated principal.location.country field. Use an outcome field to aggregate the number of failed logins.
D) Run a YARA-L retrohunt rule that detects users who are logging in from multiple regions using multiple entity contexts.

3. You are investigating an alert in Google Security Operations (SecOps). You want to view previous enrichment attributes and relevant historical cases for an entity using the fewest number of steps. What should you do?

A) Select the entity identifier in the Entity Highlights widget to open Entity Explorer.
B) Initiate a SOAR Search to query the entity.
C) Initiate a SIEM Search to query the entity.
D) Select View Details for the entity in the Entity Highlights widget.

4. Your company's analyst team uses a playbook to make necessary changes to external systems that are integrated with the Google Security Operations (SecOps) platform. You need to automate the task to run once every day at a specific time. You want your solution to minimize maintenance overhead. What should you do?

A) Write a custom Google SecOps SOAR job in the IDE using the code from the existing playbook actions.
B) Use a VM to host a script that runs a playbook via an API call.
C) Create a Google SecOps SOAR request and a playbook trigger to match the request from the user to start the playbook with the relevant actions.
D) Create a Cron Scheduled Connector for this use case Configure a playbook trigger to match the cases created by the connector that runs the playbook with the relevant actions.

5. 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) 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.
B) 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.
C) 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.
D) 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.

Solutions: