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Mountkirk Games wants to limit the physical location of resources to their operating Google Cloud regions.

What should you do?

A.

Configure an organizational policy which constrains where resources can be deployed.

B.

Configure IAM conditions to limit what resources can be configured.

C.

Configure the quotas for resources in the regions not being used to 0.

D.

Configure a custom alert in Cloud Monitoring so you can disable resources as they are created in other

regions.

Mountkirk Games wants you to secure the connectivity from the new gaming application platform to Google

Cloud. You want to streamline the process and follow Google-recommended practices. What should you do?

A.

Configure Workload Identity and service accounts to be used by the application platform.

B.

Use Kubernetes Secrets, which are obfuscated by default. Configure these Secrets to be used by the

application platform.

C.

Configure Kubernetes Secrets to store the secret, enable Application-Layer Secrets Encryption, and use

Cloud Key Management Service (Cloud KMS) to manage the encryption keys. Configure these Secrets to

be used by the application platform.

D.

Configure HashiCorp Vault on Compute Engine, and use customer managed encryption keys and Cloud

Key Management Service (Cloud KMS) to manage the encryption keys. Configure these Secrets to be used

by the application platform.

You are implementing Firestore for Mountkirk Games. Mountkirk Games wants to give a new game

programmatic access to a legacy game's Firestore database. Access should be as restricted as possible. What

should you do?

A.

Create a service account (SA) in the legacy game's Google Cloud project, add this SA in the new game's IAM page, and then give it the Firebase Admin role in both projects

B.

Create a service account (SA) in the legacy game's Google Cloud project, add a second SA in the new game's IAM page, and then give the Organization Admin role to both SAs

C.

Create a service account (SA) in the legacy game's Google Cloud project, give it the Firebase Admin role, and then migrate the new game to the legacy game's project.

D.

Create a service account (SA) in the lgacy game's Google Cloud project, give the SA the Organization Admin rule and then give it the Firebase Admin role in both projects

You want your Google Kubernetes Engine cluster to automatically add or remove nodes based on CPUload. What should you do?

A.

Configure a HorizontalPodAutoscaler with a target CPU usage. Enable the Cluster Autoscaler from the

GCP Console.

B.

Configure a HorizontalPodAutoscaler with a target CPU usage. Enable autoscaling on the managed

instance group for the cluster using the gcloud command.

C.

Create a deployment and set the maxUnavailable and maxSurge properties. Enable the Cluster Autoscaler using the gcloud command.

D.

Create a deployment and set the maxUnavailable and maxSurge properties. Enable autoscaling on the

cluster managed instance group from the GCP Console.

Your development teams release new versions of games running on Google Kubernetes Engine (GKE) daily.

You want to create service level indicators (SLIs) to evaluate the quality of the new versions from the user’s

perspective. What should you do?

A.

Create CPU Utilization and Request Latency as service level indicators.

B.

Create GKE CPU Utilization and Memory Utilization as service level indicators.

C.

Create Request Latency and Error Rate as service level indicators.

D.

Create Server Uptime and Error Rate as service level indicators.

You need to implement a network ingress for a new game that meets the defined business and technical

requirements. Mountkirk Games wants each regional game instance to be located in multiple Google Cloud

regions. What should you do?

A.

Configure a global load balancer connected to a managed instance group running Compute Engine

instances.

B.

Configure kubemci with a global load balancer and Google Kubernetes Engine.

C.

Configure a global load balancer with Google Kubernetes Engine.

D.

Configure Ingress for Anthos with a global load balancer and Google Kubernetes Engine.

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 reservation in the production project, and then create a separate reservation in the development project to secure capacity.

B.

Create a reservation in the production project, and then transfer the reservation to the development project when needed.

C.

Create an owner project with shared reservations, and then configure the production project and development project as consumer projects to consume capacity.

D.

Create a shared reservation in the production project, and then add the development project as a consumer project to move capacity when needed.

You want to make a copy of a production Linux virtual machine in the US-Central region. You want to manage and replace the copy easily if there are changes on the production virtual machine. You will deploy the copy as a new instances in a different project in the US-East region. What steps must you take?

A.

Use the Linux dd and netcat command to copy and stream the root disk contents to a new virtual machine instance in the US-East region.

B.

Create a snapshot of the root disk and select the snapshot as the root disk when you create a new virtual machine instance in the US-East region.

C.

Create an image file from the root disk with Linux dd command, create a new disk from the image file, and use it to create a new virtual machine instance in the US-East region

D.

Create a snapshot of the root disk, create an image file in Google Cloud Storage from the snapshot, and create a new virtual machine instance in the US-East region using the image file for the root disk.

You are building a continuous deployment pipeline for a project stored in a Git source repository and want to ensure that code changes can be verified deploying to production. What should you do?

A.

Use Spinnaker to deploy builds to production using the red/black deployment strategy so that changes can easily be rolled back.

B.

Use Spinnaker to deploy builds to production and run tests on production deployments.

C.

Use Jenkins to build the staging branches and the master branch. Build and deploy changes to production for 10% of users before doing a complete rollout.

D.

Use Jenkins to monitor tags in the repository. Deploy staging tags to a staging environment for testing.

After testing, tag the repository for production and deploy that to the production environment.

You have created several preemptible Linux virtual machine instances using Google Compute Engine. You want to properly shut down your application before the virtual machines are preempted. What should you do?

A.

Create a shutdown script named k99.shutdown in the /etc/rc.6.d/ directory.

B.

Create a shutdown script registered as a xinetd service in Linux and configure a Stackdnver endpoint check to call the service.

C.

Create a shutdown script and use it as the value for a new metadata entry with the key shutdown-script in the Cloud Platform Console when you create the new virtual machine instance.

D.

Create a shutdown script, registered as a xinetd service in Linux, and use the gcloud compute instances add-metadata command to specify the service URL as the value for a new metadata entry with the key shutdown-script-url