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Google Security Operations Engineer (Beta) Sample Questions:

1. You are building a detection rule in Google Security Operations (SecOps) to alert on requests to potentially malicious domains. You are planning to use the logs from your network detection and response (NDR) solution but you need to reduce noise and narrow the scope of detections. You want to minimize cost and deploy the solution quickly. What should you do?

A) Build a Google SecOps SOAR playbook that enriches domain entities in alerts with VirusTotal information and auto-closes cases when no domains are classified as malicious.
B) Ingest logs from your threat intelligence platform (TIP), and build a multi-event rule that correlates the domains found in your NDR logs with your threat intelligence data.
C) Ingest logs from a domain monitoring service, and build a multi-event rule that correlates the domains found in your NDR logs with your domain monitoring data.
D) Build a multi-event rule that correlates the domains found in your NDR logs with WHOIS context in the entity graph and sets the risk score based on domain creation time.

2. You have noticed that a Google Security Operations (SecOps) detection rule that detects excessive network connections is triggering too frequently and creating too many false positive alerts. You want to improve the rule to reduce the noise without reducing the effectiveness of the rule. What change to the detection rule should you implement?

A) Include a 10 minute timeframe for the same source and destination of network connections in the YARA-L match: section to aggregate the alerts.
B) Add a threshold in the YARA-L condition: section to ensure that the rule only alerts after a certain number of connections.
C) Update the YARA-L events: section to exclude the most common IP addresses involved in the network connection alerts to reduce the number of alerts.
D) Assign a risk score in the YARA-L outcome: section to prioritize alerts more effectively in the alert queue.

3. 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) Analyze IAM recommender insights and Security Command Center (SCC) findings associated with 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) 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.

4. A SOC uses Chronicle SIEM and wants to reduce alert fatigue without lowering detection coverage. What is the BEST strategy?

A) Apply risk-based alert scoring and entity correlation
B) Limit alerts to business hours
C) Increase alert thresholds globally
D) Disable medium-severity rules

5. Your team is responsible for cybersecurity for a large multinational corporation. You have been tasked with identifying unknown command and control nodes (C2s) that are potentially active in your organization's environment. You need to generate a list of potential matches within the Next 24 hours. What should you do?

A) Review Security Health Analytics (SHA) findings in Security Command Center (SCC).
B) Load network records into BigQuery to identify endpoints that are communicating with domains outside three standard deviations of normal.
C) Write a rule in Google Security Operations (SecOps) that scans historic network outbound connections against ingested threat intelligence Run the rule in a retrohunt against the full tenant.
D) Write a YARA-L rule in Google Security Operations (SecOps) that compares network traffic of endpoints to low prevalence domains against recent WHOIS registrations.

Solutions: