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Google Security Operations Engineer (Beta) Sample Questions:

1. Your Google Security Operations (SecOps) instance is generating a high volume of alerts related to an IP address that recently appeared in a threat intelligence feed. The IP address is flagged as a known command and control (C2) server by multiple vendors. The IP address appears in repeated DNS queries originating from a sandboxing system and test environment used by your malware analysis team. You want to avoid alert fatigue while preserving visibility in the event that the IOC reappears in real production telemetry. What should you do?

A) Add the IP address to a Google SecOps reference list, and configure the rule to suppress alerts for that list.
B) Temporarily disable the rule to avoid unnecessary alerts until the IOC expires in the threat feed.
C) Reduce the severity score in the rule configuration when the IOC match occurs in any internal IP address range.
D) Add an exception in the detection rule to exclude matches originating from specific asset groups.

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) 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.
B) 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.
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) Identify the detection rules that apply to the new IOCS, and update the YARA-L logic to reference the threat actor group.

3. 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) 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.
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) Create a script on the workload that reads the logs and uses the Google SecOps Ingestion API to push them to Google SecOps.

4. 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) Create a custom filter to export the folder-level Cloud NAT logs.
C) 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.
D) 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.

5. During a proactive threat hunting exercise, you discover that a critical production project has an external identity with a highly privileged IAM role. You suspect that this is part of a larger intrusion, and it is unknown how long this identity has had access. All logs are enabled and routed to a centralized organization-level Cloud Logging bucket, and historical logs have been exported to BigQuery datasets. You need to determine whether any actions were taken by this external identity in your environment. What should you do?

A) Analyze VPC Flow Logs exported to BigQuery, and correlate source IP addresses with potential login events for the external identity.
B) Execute queries against the centralized Cloud Logging bucket and the BigQuery dataset to filter for logs for where the principal email matches the external identity.
C) Use Policy Analyzer to identity the resources that are accessible by the external identity. Examine the logs related to these resources in the centralized Cloud Logging bucket and the BigQuery dataset.
D) Analyze IAM recommender insights and Security Command Center (SCC) findings associated with the external identity.

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