Your company and one of its partners each nave a Google Cloud protect in separate organizations. Your company s protect (prj-a) runs in Virtual Private Cloud (vpc-a). The partner ' s project (prj-b) runs in vpc-b.
There are two instances running on vpc-a and one instance running on vpc-b Subnets denned in both VPCs are not overlapping. You need to ensure that all instances communicate with each other via internal IPs minimizing latency and maximizing throughput. What should you do?

• A. Set up a network peering between vpc-a and vpc-b
• B. Configure IAP TCP forwarding on the instance in vpc b and then launch the following gcloud command from one of the instance in vpc-gcloud:
  1. Create an additional instance in vpc-a
  2. Create an additional instance n vpc-b
  3. Instal OpenVPN in newly created instances
  4. Configure a VPN tunnel between vpc-a and vpc-b with the help of OpenVPN
• C. Set up a VPN between vpc-a and vpc-b using Cloud VPN

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

For this question, refer to the Mountkirk Games case study. You need to analyze and define the technical architecture for the compute workloads for your company, Mountkirk Games. Considering the Mountkirk Games business and technical requirements, what should you do?

• A. Create network load balancers. Use non-preemptible Compute Engine instances.
• B. Create a global load balancer with managed instance groups and autoscaling policies. Use preemptible Compute Engine instances.
• C. Create a global load balancer with managed instance groups and autoscaling policies. Use non- preemptible Compute Engine instances.
• D. Create network load balancers. Use preemptible Compute Engine instances.

Your development team has created a mobile game app. You want to test the new mobile app on Android and iOS devices with a variety of configurations. You need to ensure that testing is efficient and cost-effective.
What
should you do?

• A. Create Android and iOS containers on Google Kubernetes Engine (GKE), install the mobile app on the containers, and test the mobile app.
• B. Create Android and iOS VMs on Google Cloud, install the mobile app on the VMs, and test the mobile app.
• C. Upload your mobile app to the Firebase Test Lab, and test the mobile app on Android and iOS devices.
• D. Upload your mobile app with different configurations to Firebase Hosting and test each configuration.

A large enterprise is building a file processing pipeline on Google Cloud. The pipeline ingests the raw files, which are then accessed by a fleet of hundreds of Compute Engine virtual machines (VMs) in a single region for parallel processing. These VMs need concurrent, low-latency read and write access to a shared file system.
You need to implement a storage solution that delivers the highest possible throughput to minimize the overall processing time. What should you do?

• A. Create a Filestore Enterprise instance in the same region as the VMs. Mount the Filestore file share on each Compute Engine VM.
• B. Create a Filestore Zonal instance in each zone where the VMs are running. Mount the Filestore file share on each Compute Engine VM.
• C. Use a multi-region Cloud Storage bucket to store the files.
• D. Create a Regional Persistent Disk and attach it to all VMs in multi-writer mode.