Associate-Cloud-Engineer Practice Online

You have a workload running on Compute Engine that is critical to your business. You want to ensure that the data on the boot disk of this workload is backed up regularly. You need to be able to restore a backup as quickly as possible in case of disaster. You also want older backups to be cleaned automatically to save on cost. You want to follow Google-recommended practices. What should you do? 

You have a project for your App Engine application that serves a development environment. The required testing has succeeded and you want to create a new project to serve as your production environment. What should you do?

You have production and test workloads that you want to deploy on Compute Engine. Production VMs need to be in a different subnet than the test VMs. All the VMs must be able to reach each other over internal IP without creating additional routes. You need to set up VPC and the 2 subnets. Which configuration meets these requirements?

You created a Kubernetes deployment by running kubectl run nginx image=nginx replicas=1. After a few days, you decided you no longer want this deployment. You identified the pod and deleted it by running kubectl delete pod. You noticed the pod got recreated. $ kubectl get pods NAME READY STATUS RESTARTS AGE nginx-84748895c4-nqqmt 1/1 Running 0 9m41s $ kubectl delete pod nginx-84748895c4-nqqmt pod nginx-84748895c4-nqqmt deleted $ kubectl get pods NAME READY STATUS RESTARTS AGE nginx-84748895c4-k6bzl 1/1 Running 0 25s What should you do to delete the deployment and avoid pod getting recreated?

You have a single binary application that you want to run on Google Cloud Platform. You decided to automatically scale the application based on underlying infrastructure CPU usage. Your organizational policies require you to use virtual machines directly. You need to ensure that the application scaling is operationally efficient and completed as quickly as possible. What should you do?