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Security-Operations-Engineer Exam Dumps : Google Cloud Certified - Professional Security Operations Engineer (PSOE) Exam

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Google Cloud Certified - Professional Security Operations Engineer (PSOE) Exam Questions and Answers

Question 1

Your company uses Google Security Operations (SecOps) Enterprise and is ingesting various logs. You need to proactively identify potentially compromised user accounts. Specifically, you need to detect when a user account downloads an unusually large volume of data compared to the user's established baseline activity. You want to detect this anomalous data access behavior using minimal effort. What should you do?

Options:

A.

Develop a custom YARA-L detection rule in Google SecOps that counts download bytes per user per hour and triggers an alert if a threshold is exceeded.

B.

Create a log-based metric in Cloud Monitoring, and configure an alert to trigger if the data downloaded per user exceeds a predefined limit. Identify users who exceed the predefined limit in Google SecOps.

C.

Inspect Security Command Center (SCC) default findings for data exfiltration in Google SecOps.

D.

Enable curated detection rules for User and Endpoint Behavioral Analytics (UEBA), and use the Risk Analytics dashboard in Google SecOps to identify metrics associated with the anomalous activity.

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Question 2

Your organization's Google Security Operations (SecOps) tenant is ingesting a vendor's firewall logs in its default JSON format using the Google-provided parser for that log. The vendor recently released a patch that introduces a new field and renames an existing field in the logs. The parser does not recognize these two fields and they remain available only in the raw logs, while the rest of the log is parsed normally. You need to resolve this logging issue as soon as possible while minimizing the overall change management impact. What should you do?

Options:

A.

Use the web interface-based custom parser feature in Google SecOps to copy the parser, and modify it to map both fields to UDM.

B.

Use the Extract Additional Fields tool in Google SecOps to convert the raw log entries to additional fields.

C.

Deploy a third-party data pipeline management tool to ingest the logs, and transform the updated fields into fields supported by the default parser.

D.

Write a code snippet, and deploy it in a parser extension to map both fields to UDM.

Question 3

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?

Options:

A.

Customize the Case Name format to include the DLP event type.

B.

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.

C.

Customize the Close Case dialog and add the five DLP event types as root cause options.

D.

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.