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2. Networking in Google Cloud

This course is for you if you have always wanted to learn how to manage or scale your company’s networks in the Google Cloud. It addresses firewalls, Virtual Private Cloud (VPC), subnets, and load balancing. What’s more, this program will also provide you with all the information you need to know about popular patterns used in designing networks, Cloud NAT, Cloud CDN, Cloud DNS, and steps involved in automation and deployment with Terraform or Deployment Manager.

Google Cloud Certified - Professional Cloud Security Engineer Exam Sample Questions (Q232-Q237):

NEW QUESTION # 232
A customer terminates an engineer and needs to make sure the engineer's Google account is automatically deprovisioned.
What should the customer do?

A. Configure Cloud Directory Sync with their directory service to remove their IAM permissions in Cloud Identity.
B. Use the Cloud SDK with their directory service to provision and deprovision users from Cloud Identity.
C. Configure Cloud Directory Sync with their directory service to provision and deprovision users from Cloud Identity.
D. Use the Cloud SDK with their directory service to remove their IAM permissions in Cloud Identity.

Answer: C

NEW QUESTION # 233
You manage a BigQuery analytical data warehouse in your organization. You want to keep data for all your customers in a common table while you also restrict query access based on rows and columns permissions. Non-query operations should not be supported.
What should you do? (Choose two.)

A. Create column-level policy tags to control access to columns at query runtime.
B. Create row-level access policies to restrict the result data when you run queries with the filter expression set to FALSE.
C. Create row-level access policies to restrict the result data when you run queries with the filter expression set to TRUE.
D. Configure column-level encryption by using Authenticated Encryption with Associated Data (AEAD) functions with Cloud Key Management Service (KMS) to control access to columns at query runtime.
E. Configure dynamic data masking rules to control access to columns at query runtime.

Answer: A,B

Explanation:
https://cloud.google.com/bigquery/docs/using-row-level-security-with-features#the_true_filter
https://cloud.google.com/bigquery/docs/column-level-security-intro#column- level_security_workflow

NEW QUESTION # 234
An organization's security and risk management teams are concerned about where their responsibility lies for certain production workloads they are running in Google Cloud Platform (GCP), and where Google's responsibility lies. They are mostly running workloads using Google Cloud's Platform-as-a-Service (PaaS) offerings, including App Engine primarily.
Which one of these areas in the technology stack would they need to focus on as their primary responsibility when using App Engine?

A. Defending against XSS and SQLi attacks
B. Manage the latest updates and security patches for the Guest OS
C. Encrypting all stored data
D. Configuring and monitoring VPC Flow Logs

Answer: A

Explanation:
In PaaS the customer is responsible for web app security, deployment, usage, access policy, and content.
https://cloud.google.com/architecture/framework/security/shared-responsibility-shared-fate

NEW QUESTION # 235
You are a member of the security team at an organization. Your team has a single GCP project with credit card payment processing systems alongside web applications and data processing systems. You want to reduce the scope of systems subject to PCI audit standards.
What should you do?

A. Use multi-factor authentication for admin access to the web application.
B. Move the cardholder data environment into a separate GCP project.
C. Use VPN for all connections between your office and cloud environments.
D. Use only applications certified compliant with PA-DSS.

Answer: C

NEW QUESTION # 236
You have stored company approved compute images in a single Google Cloud project that is used as an image repository. This project is protected with VPC Service Controls and exists in the perimeter along with other projects in your organization. This lets other projects deploy images from the image repository project. A team requires deploying a third-party disk image that is stored in an external Google Cloud organization. You need to grant read access to the disk image so that it can be deployed into the perimeter.
What should you do?

A. * Allow the external project by using the organizational policy
constraints/compute.trustedlmageProjects.
B. * 1 Update the perimeter
* 2 Configure the ingressFrcm field to set identityType to an-y_identity.
* 3 Configure the ingressTo field to include the external Google Cloud project number as an allowed resource and the serviceName to compute.googleapis -com.
C. * 1 Update the perimeter
* 2 Configure the egressTo field to set identity Type to any_identity.
* 3 Configure the egressFrom field to include the external Google Cloud project number as an allowed resource and the serviceName to compute. googleapis. com.
D. * 1 Update the perimeter
* 2 Configure the egressTo field to include the external Google Cloud project number as an allowed resource and the serviceName to compute. googleapis. com.
* 3 Configure the egressFrom field to set identity Type to any_idestity.

Answer: C

Explanation:
To grant read access to a third-party disk image stored in an external Google Cloud organization so it can be deployed into a VPC Service Controls perimeter, you need to update the service perimeter to allow egress traffic from your projects to the external project.
Update the Service Perimeter:
Go to the Google Cloud Console, navigate to Security > VPC Service Controls.
Select the appropriate service perimeter that includes your image repository project.
Configure Egress Policy:
Within the perimeter settings, configure the egressTo field to allow traffic to the external project.
Set the identityType to ANY_IDENTITY to permit any principal to access the external project for this specific egress rule.
Specify External Project and Service:
In the egressFrom field, include the external Google Cloud project number as an allowed resource.
Set the serviceName to compute.googleapis.com to specifically allow access to the Compute Engine service in the external project.
This configuration permits your internal projects to read the disk image from the external project while maintaining the security boundaries established by the service perimeter.
Reference:
VPC Service Controls Documentation
Configuring Service Perimeters

NEW QUESTION # 237
......

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Max White Max White

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