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Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q30-Q35):

NEW QUESTION # 30
Your company is using Google Cloud. You have two folders under the Organization: Finance and Shopping.
The members of the development team are in a Google Group. The development team group has been assigned the Project Owner role on the Organization. You want to prevent the development team from creating resources in projects in the Finance folder. What should you do?

A. Assign the development team group the Project Owner role on the Shopping folder, and remove the development team group Project Owner role from the Organization.
B. Assign the development team group the Project Viewer role on the Finance folder, and assign the development team group the Project Owner role on the Shopping folder.
C. Assign the development team group only the Project Owner role on the Shopping folder.
D. Assign the development team group only the Project Viewer role on the Finance folder.

Answer: A

Explanation:
https://cloud.google.com/resource-manager/docs/cloud-platform-resource-hierarchy
"Roles are always inherited, and there is no way to explicitly remove a permission for a lower-level resource that is granted at a higher level in the resource hierarchy. Given the above example, even if you were to remove the Project Editor role from Bob on the "Test GCP Project", he would still inherit that role from the
"Dept Y" folder, so he would still have the permissions for that role on "Test GCP Project"." Reference: https://cloud.google.com/resource-manager/docs/creating-managing-folders

NEW QUESTION # 31
You are working in a highly secured environment where public Internet access from the Compute Engine
VMs is not allowed. You do not yet have a VPN connection to access an on-premises file server. You need
to install specific software on a Compute Engine instance. How should you install the software?

A. Upload the required installation files to Cloud Storage and use firewall rules to block all traffic except
the IP address range for Cloud Storage. Download the files to the VM using gsutil.
B. Upload the required installation files to Cloud Source Repositories and use firewall rules to block all
traffic except the IP address range for Cloud Source Repositories. Download the files to the VM using
gsutil.
C. Upload the required installation files to Cloud Source Repositories. Configure the VM on a subnet with
a Private Google Access subnet. Assign only an internal IP address to the VM. Download the
installation files to the VM using gcloud.
D. Upload the required installation files to Cloud Storage. Configure the VM on a subnet with a Private
Google Access subnet. Assign only an internal IP address to the VM. Download the installation files to
the VM using gsutil.

Answer: A

NEW QUESTION # 32

The migration of JencoMart's application to Google Cloud Platform (GCP) is progressing too slowly. The
infrastructure is shown in the diagram. You want to maximize throughput.
What are three potential bottlenecks? Choose 3 answers.

A. Complicated internet connectivity between the on-premises infrastructure and GCP
B. A separate storage layer outside the VMs, which is not suited for this task
C. A tier of Google Cloud Storage that is not suited for this task
D. A copy command that is not suited to operate over long distances
E. A single VPN tunnel, which limits throughput
F. Fewer virtual machines (VMs) in GCP than on-premises machines

Answer: B,D,E

NEW QUESTION # 33
For this question, refer to the JencoMart case study.
The migration of JencoMart's application to Google Cloud Platform (GCP) is progressing too slowly. The infrastructure is shown in the diagram. You want to maximize throughput. What are three potential bottlenecks? (Choose 3 answers.)

A. A separate storage layer outside the VMs, which is not suited for this task
B. A copy command that is not suited to operate over long distances
C. A tier of Google Cloud Storage that is not suited for this task
D. A single VPN tunnel, which limits throughput
E. Complicated internet connectivity between the on-premises infrastructure and GCP
F. Fewer virtual machines (VMs) in GCP than on-premises machines

Answer: A,D,E

NEW QUESTION # 34
Your company is running AI/ML workloads on graphics processing units (GPUs) within Google Kubernetes Engine (GKE). These workloads are deployed across production and development projects, with the production environment being business critical and operating 24/7. You need to ensure that the GPU capacity is always available during scaling events, without being limited by overall GPU availability. You also need the ability to shift unused GPU capacity from production to development projects as needed. You want to follow Google-recommended best practices. What should you do?

A. Create a shared reservation in the production project, and then add the development project as a consumer project to move capacity when needed.
B. Create an owner project with shared reservations, and then configure the production project and development project as consumer projects to consume capacity.
C. Create a reservation in the production project, and then transfer the reservation to the development project when needed.
D. Create a reservation in the production project, and then create a separate reservation in the development project to secure capacity.

Answer: B

Explanation:
According to Compute Engine documentation on Shared Reservations , the most flexible and manageable way to handle capacity across multiple projects is to use a centralized Owner Project . This is a dedicated project used to create and manage the reservation, which is then shared with " Consumer Projects " (in this case, your GKE production and development projects).
This architecture specifically addresses the requirement to " ensure GPU capacity is always available " by securing the resources at the organizational level. Because the reservation is shared , the GPU capacity is not
" locked " into a single project. If the production environment scales down and leaves unused capacity in the shared pool, the development project can immediately consume those reserved GPUs for its own scaling needs without requiring manual transfers or new configurations.
Google ' s Best Practices for Shared Reservations recommend that the owner project should only own the reservation and not necessarily consume it, which simplifies billing and quota management. Option D is technically possible but less " manageable " at scale than a centralized owner project. Options A and B lack the automated, fluid capacity shifting required by the AI/ML workload ' s dynamic scaling needs.
The following solutions are based on Google Cloud Architect documents and industry-standard best practices for global content delivery, data migration, and high-performance file access.

NEW QUESTION # 35
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