Google GCP-SOE-B

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Google GCP-SOE-B Exam Syllabus Topics:

Google Security Operations Engineer (Beta) Sample Questions:

1. 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 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
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) Configure a feed in Google SecOps SIEM to ingest GTI data to automatically enrich the appropriate entities.

2. You are a SOC manager guiding an implementation of your existing incident response plan (IRP) into Google Security Operations (SecOps). You need to capture time duration data for each of the case stages. You want your solution to minimize maintenance overhead. What should you do?

A) Create a Google SecOps SOAR dashboard that displays specific actions that have been run, identifies which stage a case is in, and calculates the time elapsed since the start of the case.
B) Configure Case Stages in the Google SecOps SOAR settings, and use the Change Case Stage action in your playbooks that captures time metrics when the stage changes.
C) Configure a detection rule in SIEM Rules & Detections to include logic to capture the event fields for each case with the relevant stage metrics.
D) Write a job in the IDE that runs frequently to check the progress of each case and updates the notes with timestamps to reflect when these changes were identified.

3. You need to ingest audit logs from your organization's entire Google Cloud environment into Google Security Operations (SecOps). This process must include Cloud NAT logs for workloads within a designated folder. You need to configure this ingestion while minimizing integration complexity. You have already enabled Google Cloud data ingestion into Google SecOps. What should you do next?

A) Create a custom filter to export the folder-level Cloud NAT logs.
B) Configure an aggregated log sink at the folder level, and route the Cloud NAT logs to Pub/Sub. Enable the Pub/Sub connector for Google SecOps.
C) Configure an aggregated log sink at the organization level, and route the Cloud NAT logs to a Cloud Storage bucket. Configure the Cloud Storage connector for Google SecOps.
D) Create a custom filter to export the project-level Cloud NAT logs for each project in the environment folder.

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) 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.
B) Write a custom Google SecOps SOAR job in the IDE using the code from the existing playbook actions.
C) 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.
D) Use a VM to host a script that runs a playbook via an API call.

5. You scheduled a Google Security Operations (SecOps) report to export results to a BigQuery dataset in your Google Cloud project. The report executes successfully in Google SecOps, but no data appears in the dataset. You confirmed that the dataset exists. How should you address this export failure?

A) Set a retention period for the BigQuery export.
B) Grant the Google SecOps service account the roles/bigquery.dataEditor IAM role on the dataset.
C) Grant the Google SecOps service account the roles/iam.serviceAccountUser IAM role to itself.
D) Grant the user account that scheduled the report the roles/bigquery.dataEditor IAM role on the project.

Solutions: