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Google GCP-SOE-B Exam Overview:

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Google Security Operations Engineer (Beta) Sample Questions:

1. You are reviewing the results of a UDM search in Google Security Operations (SecOps). The UDM fields shown in the default view are not relevant to your search. You want to be able to quickly view the relevant data for your analysis. What should you do?

A) Download the search results as a CSV file, and manipulate the data to display relevant data in a spreadsheet.
B) Use the columns feature to select or remove columns that are relevant to your analysis.
C) Select the events of interest, and choose the relevant UDM fields from the event view using the checkboxes. Copy, extract, and analyze the UDM fields, and refine the search query.
D) Create a Google SecOps SIEM dashboard based on the search you have run, and visualize the data in an appropriate table or graphical format.

2. You scheduled a Google Security Operations (SecOps) report to export results to a BigQuery dataset in your Google Cloud project. The report executes successfully in Google SecOps, but no data appears in the dataset. You confirmed that the dataset exists. How should you address this export failure?

A) Grant the Google SecOps service account the roles/bigquery.dataEditor IAM role on the dataset.
B) Set a retention period for the BigQuery export.
C) Grant the user account that scheduled the report the roles/bigquery.dataEditor IAM role on the project.
D) Grant the Google SecOps service account the roles/iam.serviceAccountUser IAM role to itself.

3. You are developing a playbook to respond to phishing reports from users at your company. You configured a UDM query action to identify all users who have connected to a malicious domain. You need to extract the users from the UDM query and add them as entities in an alert so the playbook can reset the password for those users. You want to minimize the amount of effort required by the SOC analyst. What should you do?

A) Implement an Instruction action from the Flow integration that instructs the analyst to add the entities in the Google SecOps user interface.
B) Configure a manual Create Entity action from the Siemplify integration that instructs the analyst to input the Entities Identifier parameter based on the results of the action.
C) Create a case for each identified user with the user designated as the entity.
D) Use the Create Entity action from the Siemplify integration. Use the Expression Builder to create a placeholder with the usernames in the Entities Identifier parameter.

4. You are threat hunting for an advanced threat group known for targeted, novel attacks by deploying campaign-specific infrastructure. You want to develop detections based on the threat group's behaviors so you can effectively detect whether the threat group has attacked your organization. What should you do?

A) Find intelligence reports in Google Threat Intelligence that relate to the threat actor, identify their behavior in previous campaigns, and use the past behavior to design detections in Google Security Operations (SecOps).
B) Search for the threat actor in Google Threat Intelligence, review the threat actor's tactics, techniques, and procedures (TTPs), and design detections based on the TTPs in Google Security Operations (SecOps).
C) Search for the threat actor in Google Threat Intelligence, export the IOCs associated with the threat actor into a Google Security Operations (SecOps) list, and develop detections that reference this list.
D) Identify exposed technologies and products used by your organization, and develop detections to search for signs of exploitation.

5. Your team has onboarded a new log source from a third-party DNS filtering solution. After ingestion, you observe that key UDM fields such as network.dns.questions.name and metadata.product_event_type are missing from the parsed events in Google Security Operations (SecOps). You suspect that the default parser does not fully align with the source format. You need to ensure these fields are available for downstream detection rules that rely on DNS query telemetry and event categorization. What should you do?

A) Use a custom parser that outputs all fields as raw JSON for detection.
B) Enable asset enrichment for the log source to infer missing fields based on correlated host activity.
C) Modify the ingestion source definition to remap raw fields directly to UDM by using the UDM sample output.
D) Create a parser extension that maps the missing source fields to the correct UDM fields and attach it to the existing parser.

Solutions: