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最新的 Google Cloud Certified GCP-SOE-B 免費考試真題:

1. You have a close relationship with a vendor who reveals to you privately that they have discovered a vulnerability in their web application that can be exploited in an XSS attack. This application is running on servers in the cloud and on- premises. Before the CVE is released, you want to look for signs of the vulnerability being exploited in your environment. What should you do?

A) Create a YARA-L 2.0 rule to detect a time-ordered series of events where an external inbound connection to a server was followed by a process on the server that spawned subprocesses previously not seen in the environment.
B) Activate a new Web Security Scanner scan in Security Command Center (SCC), and look for findings related to XSS.
C) Create a YARA-L 2.0 rule to detect high-prevalence binaries on your web server architecture communicating with known command and control (C2) nodes. Review inbound traffic from those C2 domains that have only started appearing recently.
D) Ask the Gemini Agent in Google Security Operations (SecOps) to search for the latest vulnerabilities in the environment.

2. 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) Create a Google SecOps SIEM dashboard based on the search you have run, and visualize the data in an appropriate table or graphical format.
C) Use the columns feature to select or remove columns that are relevant to your analysis.
D) 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.

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?

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

4. Your company requires PCI DSS v4.0 compliance for its cardholder data environment (CDE) in Google Cloud. You use a Security Command Center (SCC) security posture deployment based on the PCI DSS v4.0 template to monitor for configuration drift. This posture generates a finding indicating that a Compute Engine VM within the CDE scope has been configured with an external IP address. You need to take an immediate action to remediate the compliance drift identified by this specific SCC posture finding. What should you do?

A) Reconfigure the network interface settings for the VM to explicitly remove the assigned external IP address.
B) Enable and enforce theconstraints/compute.vmExternallpAccess organization policy constraint at the project level for the project where the VM resides.
C) Remove the CDE-specific tag from the VM to exclude the tag from this particular PCI DSS posture evaluation scan.
D) Navigate to the underlying Security Health Analytics (SHA) finding for PUBLIC_IP_ADDRESSon the VM, and mark this finding as fixed.

5. 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) 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.
B) 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.
C) 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.
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.

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