Google GCP-SOE-B - Security Operations Engineer (Beta)

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Google GCP-SOE-B Exam Syllabus Topics:

Google Security Operations Engineer (Beta) Sample Questions:

Question 1

Your company is adopting a multi-cloud environment. You need to configure comprehensive monitoring of threats using Google Security Operations (SecOps). You want to start identifying threats as soon as possible. What should you do?

A. Use Gemini to generate YARA-L rules for multi-cloud use cases.
B. Use curated detections from the Cloud Threats category to monitor your cloud environment.
C. Use curated detections for Applied Threat Intelligence to monitor your company's cloud environment.
D. Ask Cloud Customer Care to provide a set of rules recommended by Google to monitor your company's cloud environment.

Question 2

You are using a Google-managed image on a Compute Engine instance in Google Cloud to run an application. You need to ingest the application's log output into Google Security Operations (SecOps). The log output is standard and has a valid label and parser in Google SecOps. Your solution must minimize the cost and time required to move this data into Google SecOps. What should you do?

A. Deploy a Bindplane agent on the image to collect and send the logs to Google SecOps.
B. Create a script on the workload that reads the logs and uses the Google SecOps Ingestion API to push them to Google SecOps.
C. Use the Ops Agent embedded in the Compute Engine image to pull the logs into Cloud Logging. Use the direct ingestion mechanism to ingest the logs from Google Cloud into Google SecOps.
D. Use the Ops Agent embedded in the Compute Engine image to pull the logs into a Cloud Storage bucket. Create a feed in Google SecOps to ingest the logs.

Question 3

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.

Question 4

Your company requires PCI DSS v4.0 compliance for its cardholder data environment (CDE) in Google Cloud. You use a Security Command Center (SCC) security posture deployment based on the PCI DSS v4.0 template to monitor for configuration drift. This posture generates a finding indicating that a Compute Engine VM within the CDE scope has been configured with an external IP address. You need to take an immediate action to remediate the compliance drift identified by this specific SCC posture finding. What should you do?

A. Enable and enforce theconstraints/compute.vmExternallpAccess organization policy constraint at the project level for the project where the VM resides.
B. Navigate to the underlying Security Health Analytics (SHA) finding for PUBLIC_IP_ADDRESSon the VM, and mark this finding as fixed.
C. Remove the CDE-specific tag from the VM to exclude the tag from this particular PCI DSS posture evaluation scan.
D. Reconfigure the network interface settings for the VM to explicitly remove the assigned external IP address.

Question 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. 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. 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 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.
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.

Solutions: