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Google GCP-SOE-B Exam Syllabus Topics:

Google Security Operations Engineer (Beta) Sample Questions:

1. 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) 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.
B) Write a YARA-L rule in Google Security Operations (SecOps) that compares network traffic of endpoints to low prevalence domains against recent WHOIS registrations.
C) Review Security Health Analytics (SHA) findings in Security Command Center (SCC).
D) Load network records into BigQuery to identify endpoints that are communicating with domains outside three standard deviations of normal.

2. Your organization uses Google Security Operations (SecOps) for security analysis and investigation. Your organization has decided that all security cases related to Data Loss Prevention (DLP) events must be categorized with a defined root cause specific to one of five DLP event types when the case is closed in Google SecOps. How should you achieve this?

A) Create a Google SecOps SOAR playbook that automatically assigns case tags where each tag contains the unique definition of one of the five DLP event types.
B) Customize the Close Case dialog and add the five DLP event types as root cause options.
C) Create case tags in Google SecOps SOAR where each tag contains a unique definition of each of the five DLP event types, and have analysts assign them to cases manually.
D) Customize the Case Name format to include the DLP event type.

3. You are ingesting and parsing logs from an SSO provider and an on-premises appliance using Google Security Operations (SecOps). Users are tagged as "restricted" by an internal process. Restrictions last five days from the most recent flagging time. You need to create a rule to detect when restricted users log into the appliance. Your solution must be quickly implemented and easily maintained. What should you do?

A) Store the identifiers of the flagged users in the detection rule logic. Actively monitor for newly flagged users, and add them to the detection rule logic.
B) Ingest the user flags as custom enrichment data using a feed. Use a multi-event detection rule to find logins from users flagged in the entity graph.
C) Use a Google SecOps SOAR global context value to store a list of flagged users with their corresponding time to live values. Use a SOAR job to dynamically build and deploy a new version of the detection rule with the updated list of flagged users.
D) Store the flagged users in a data table column with their corresponding time to live values in a second column. Use row-based comparisons in your detection rule.

4. You are working with your company's analyst team to automate the investigation of phishing alerts ingested directly into Google Security Operations (SecOps) SOAR from an email inbox.
The analyst team currently uses a SIEM query to search for related information. You need to design a solution to automatically include the query results in the Google SecOps case without writing any new code. What should you do?

A) Create a custom action in Google SecOps IDE that runs the SIEM query from a playbook through an API call and returns the results.
B) Modify the detection rule in the SIEM to include the query results as part of the detection.
C) Add a widget to the Default Case View in Google SecOps SOAR that allows the analyst team to query directly from the widget.
D) Add an action to the playbook that runs the SIEM query and returns the results.

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

Solutions: