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Google Security Operations Engineer (Beta) Sample Questions:

1. 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 a Looker dashboard that queries the BigQuery ingestion metrics schema for each log_type and collector_id.
D) Create an ingestion notification for health metrics in Cloud Monitoring based on the total ingested log count for each collector_id.

2. You are tasked with building a workflow in Google Security Operations (SecOps) SOAR. The documentation you are using requires a logical split that has eight different possible paths. You need to break the workflow into eight separate workflows using an automatic and efficient approach. What should you do?

A) Create a playbook that uses a flow condition. Add four more branches to have a total of five branches and an "Else" branch. On the "Else" branch, include another flow condition. Include the remaining three branches with the logic required.
B) Create eight playbooks for each workflow. Configure the triggered playbook to end on an instruction action that tells the analyst to pick a workflow from the playbooks tab and attach that workflow to the alert.
C) Create eight playbooks for each workflow. Create a job that identifies your recently opened cases, applies the needed logic to determine which of the eight workflows should be attached, and attaches that workflow to the alert.
D) Create a playbook that uses a Multi-Choice Question answer choices. Add instructions describing which logic to use in the instruction or question fields. Have the analyst select the appropriate answer to move the flow into the right branch.

3. A workload is created and terminated within five minutes and later linked to cryptomining activity.
What MOST complicates the investigation?

A) Encryption at rest
B) Global IP addressing
C) Short-lived (ephemeral) resources
D) High availability architecture

4. You are a security analyst at an organization that uses Google Security Operations (SecOps). You have identified a new IP address that is known to be used by a malicious threat actor to launch network attacks. You need to search for this IP address in Google SecOps using all normalized logs to determine whether any malicious activity has occurred. You want to use the most effective approach. What should you do?

A) On the Alerts & IOCS page, review results and entries where the IP address appears.
B) Write UDM searches using YARA-L 2.0 syntax to find events where the IP address appears.
C) Write a YARA-L 2.0 detection rule that searches for events with the IP address.
D) Run raw log searches using the IP address as a search term.

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) Analyze IAM recommender insights and Security Command Center (SCC) findings associated with the external identity.
D) 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.

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