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Google Security Operations Engineer (Beta) Sample Questions:

1. 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) Apply any pending updates to the prebuilt parser.
B) Design and develop a custom parser.
C) Implement a parser extension on top of the prebuilt parser.
D) Implement middleware to modify the underlying data structure.

2. You need to augment your organization's existing Security Command Center (SCC) implementation with additional detectors. You have a list of known IOCS and would like to include external signals for this capability to ensure broad detection coverage. What should you do?

A) Create a custom log sink with internal and external IP addresses from threat intelligence. Use the SCC API to generate a finding for each event.
B) Create a custom posture for your organization that combines the prebuilt Event Threat Detection and Security Health Analytics (SHA) detectors.
C) Create an Event Threat Detection custom module using the "Configurable Bad IP" template.
D) Create a Security Health Analytics (SHA) custom module using the compute address resource.

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 project-level Cloud NAT logs for each project in the environment folder.
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 folder-level Cloud NAT logs.

4. You are a SOC manager at an organization that recently implemented Google Security Operations (SecOps). You need to monitor your organization's data ingestion health in Google SecOps. Data is ingested with Bindplane collection agents. You want to configure the following:
- Receive a notification when data sources go silent within 15 minutes.
- Visualize ingestion throughput and parsing errors. What should you do?

A) Configure silent source notifications for Google SecOps collection agents in Cloud Monitoring. Create a Cloud Monitoring dashboard to visualize data ingestion metrics.
B) Configure notifications in Cloud Monitoring when ingestion sources become silent in Bindplane. Monitor and visualize Google SecOps data ingestion metrics using Bindplane Observability Pipeline (OP).
C) Configure silent source alerts based on rule detections for anomalous data ingestion activity in Risk Analytics. Monitor and visualize the alert metrics in the Risk Analytics dashboard.
D) Configure automated scheduled delivery of an ingestion health report in the Data Ingestion and Health dashboard. Monitor and visualize data ingestion metrics in this dashboard.

5. You work at a financial services company. You need to detect in near real-time when a Cloud Run functions service agent modifies the IAM policy of an Artifact Registry repository. You plan to use Security Command Center (SCC). You want to follow the Google-recommended approach.
What should you do?

A) Use Event Threat Detection in SCC with a custom unexpected Cloud API call rule that detects when a specified principal calls a method against a resource.
B) Create a custom Security Health Analytics (SHA) detector that scans Artifact Registry repositories for IAM policy changes. When a change is detected identify the principal that made the change.
C) Implement a Cloud Run function that is triggered by IAM policy changes within the project and sends an alert to SCC using the Security Command Center API.
D) Configure a Cloud Logging log sink to export all IAM policy changes to BigQuery, and create a custom dashboard in SCC to visualize the data.

Solutions: