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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) Configure a feed in Google SecOps SIEM to ingest GTI data to automatically enrich the appropriate entities.
B) Use the match section of your detection logic to filter out irrelevant entities. Store the remaining entities as the risk_score variable.
C) 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
D) 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.

2. A SOC team notices repeated outbound HTTPS connections from a Compute Engine instance to an external IP every 60 seconds. CPU usage is normal and no malware signatures trigger. What is the BEST next analytical step?

A) Identify the process and service account generating the traffic
B) Notify executive leadership
C) Power off the instance
D) Block the destination IP immediately

3. You are implementing Google Security Operations (SecOps) with multiple log sources. You want to closely monitor the health of the ingestion pipeline's forwarders and collection agents, and detect silent sources within five minutes. What should you do?

A) Create a Google SecOps SIEM dashboard to show the ingestion metrics for each log_type and collector_id.
B) Create a notification in Cloud Monitoring using a metric- absence condition based on sample policy for each collector_id.
C) Create an ingestion notification for health metrics in Cloud Monitoring based on the total ingested log count for each collector_id.
D) Create a Looker dashboard that queries the BigQuery ingestion metrics schema for each log_type and collector_id.

4. After resolving a confirmed security incident in Google Cloud, what action provides the GREATEST long-term security improvement?

A) Updating detections, playbooks, and IAM controls based on lessons learned
B) Adding more analysts
C) Increasing log retention
D) Closing all related alerts

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) 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.
B) Analyze IAM recommender insights and Security Command Center (SCC) findings associated with the external identity.
C) 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.
D) Analyze VPC Flow Logs exported to BigQuery, and correlate source IP addresses with potential login events for the external identity.

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