Win IT Exam with Last Dumps 2024


Google Professional-Cloud-Security Exam

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Viewing Questions 51 60 out of 88 Questions
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Question 51
You want to limit the images that can be used as the source for boot disks. These images will be stored in a dedicated project.
What should you do?
A. Use the Organization Policy Service to create a compute.trustedimageProjects constraint on the organization level. List the trusted project as the whitelist in an allow operation.
B. Use the Organization Policy Service to create a compute.trustedimageProjects constraint on the organization level. List the trusted projects as the exceptions in a deny operation.
C. In Resource Manager, edit the project permissions for the trusted project. Add the organization as member with the role: Compute Image User.
D. In Resource Manager, edit the organization permissions. Add the project ID as member with the role: Compute Image User.

Question 52
Your team needs to prevent users from creating projects in the organization. Only the DevOps team should be allowed to create projects on behalf of the requester.
Which two tasks should your team perform to handle this request? (Choose two.)
A. Remove all users from the Project Creator role at the organizational level.
B. Create an Organization Policy constraint, and apply it at the organizational level.
C. Grant the Project Editor role at the organizational level to a designated group of users.
D. Add a designated group of users to the Project Creator role at the organizational level.
E. Grant the billing account creator role to the designated DevOps team.

Question 53
A customer deployed an application on Compute Engine that takes advantage of the elastic nature of cloud computing.
How can you work with Infrastructure Operations Engineers to best ensure that Windows Compute Engine VMs are up to date with all the latest OS patches?
A. Build new base images when patches are available, and use a CI/CD pipeline to rebuild VMs, deploying incrementally.
B. Federate a Domain Controller into Compute Engine, and roll out weekly patches via Group Policy Object.
C. Use Deployment Manager to provision updated VMs into new serving Instance Groups (IGs).
D. Reboot all VMs during the weekly maintenance window and allow the StartUp Script to download the latest patches from the internet.

Question 54
Your team needs to make sure that their backend database can only be accessed by the frontend application and no other instances on the network.
How should your team design this network?
A. Create an ingress firewall rule to allow access only from the application to the database using firewall tags.
B. Create a different subnet for the frontend application and database to ensure network isolation.
C. Create two VPC networks, and connect the two networks using Cloud VPN gateways to ensure network isolation.
D. Create two VPC networks, and connect the two networks using VPC peering to ensure network isolation.

Question 55
An organization receives an increasing number of phishing emails.
Which method should be used to protect employee credentials in this situation?
A. Multifactor Authentication
B. A strict password policy
C. Captcha on login pages
D. Encrypted emails


Question 56
A customer is collaborating with another company to build an application on Compute Engine. The customer is building the application tier in their GCPOrganization, and the other company is building the storage tier in a different GCP Organization. This is a 3-tier web application. Communication between portions of the application must not traverse the public internet by any means.
Which connectivity option should be implemented?
A. VPC peering
B. Cloud VPN
C. Cloud Interconnect
D. Shared VPC

Question 57
Your team wants to make sure Compute Engine instances running in your production project do not have public IP addresses. The frontend application ComputeEngine instances will require public IPs. The product engineers have the Editor role to modify resources. Your team wants to enforce this requirement.
How should your team meet these requirements?
A. Enable Private Access on the VPC network in the production project.
B. Remove the Editor role and grant the Compute Admin IAM role to the engineers.
C. Set up an organization policy to only permit public IPs for the front-end Compute Engine instances.
D. Set up a VPC network with two subnets: one with public IPs and one without public IPs.

Question 58
Which two security characteristics are related to the use of VPC peering to connect two VPC networks? (Choose two.)
A. Central management of routes, firewalls, and VPNs for peered networks
B. Non-transitive peered networks; where only directly peered networks can communicate
C. Ability to peer networks that belong to different Google Cloud organizations
D. Firewall rules that can be created with a tag from one peered network to another peered network
E. Ability to share specific subnets across peered networks

Question 59
A patch for a vulnerability has been released, and a DevOps team needs to update their running containers in Google Kubernetes Engine (GKE).
How should the DevOps team accomplish this?
A. Use Puppet or Chef to push out the patch to the running container.
B. Verify that auto upgrade is enabled; if so, Google will upgrade the nodes in a GKE cluster.
C. Update the application code or apply a patch, build a new image, and redeploy it.
D. Configure containers to automatically upgrade when the base image is available in Container Registry.

Question 60
A company is running their webshop on Google Kubernetes Engine and wants to analyze customer transactions in BigQuery. You need to ensure that no credit card numbers are stored in BigQueryWhat should you do?
A. Create a BigQuery view with regular expressions matching credit card numbers to query and delete affected rows.
B. Use the Cloud Data Loss Prevention API to redact related infoTypes before data is ingested into BigQuery.
C. Leverage Security Command Center to scan for the assets of type Credit Card Number in BigQuery.
D. Enable Cloud Identity-Aware Proxy to filter out credit card numbers before storing the logs in BigQuery.



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