You need to produce a list of the enabled Google Cloud Platform APIs for a GCP project using the gcloud command line in the Cloud Shell. The project name is my-project. What should you do?

• A.Run gcloud projects list to get the project ID, and then run gcloud services list --project <project ID>.
• B.Run gcloud init to set the current project to my-project, and then run gcloud services list --available.
• C.Run gcloud info to view the account value, and then run gcloud services list --account <Account>.
• D.Run gcloud projects describe <project ID> to verify the project value, and then run gcloud services list
  --available.

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You've found that your Linux server keeps running low on memory. It's currently using 8 Gigs of memory, and you want to increase it to 16. What is the simplest way to do that?

• A.Use the Linux memincr command to increase the memory.
• B.Use the gcloud compute add-memory command to increase the memory.
• C.Create a new instance with the correct amount of memory.
• D.Stop the instance and change the machine type.

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You have several hundred microservice applications running in a Google Kubernetes Engine (GKE) cluster.
Each microservice is a deployment with resource limits configured for each container in the deployment. You
' ve observed that the resource limits for memory and CPU are not appropriately set for many of the microservices. You want to ensure that each microservice has right sized limits for memory and CPU. What should you do?

• A.Configure a Vertical Pod Autoscaler for each microservice.
• B.Modify the cluster ' s node pool machine type and choose a machine type with more memory and CPU.
• C.Configure a Horizontal Pod Autoscaler for each microservice.
• D.Configure GKE cluster autoscaling.

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You have a website hosted on App Engine standard environment. You want 1% of your users to see a new test version of the website. You want to minimize complexity. What should you do?

• A.Deploy the new version in the same application and use the --migrate option.
• B.Deploy the new version in the same application and use the --splits option to give a weight of 99 to the current version and a weight of 1 to the new version.
• C.Create a new App Engine application in the same project. Deploy the new version in that application.
  Use the App Engine library to proxy 1% of the requests to the new version.
• D.Create a new App Engine application in the same project. Deploy the new version in that application.
  Configure your network load balancer to send 1% of the traffic to that new application.

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You significantly changed a complex Deployment Manager template and want to confirm that the dependencies of all defined resources are properly met before committing it to the project. You want the most rapid feedback on your changes. What should you do?

• A.Use granular logging statements within a Deployment Manager template authored in Python.
• B.Monitor activity of the Deployment Manager execution on the Stackdriver Logging page of the GCP Console.
• C.Execute the Deployment Manager template against a separate project with the same configuration, and monitor for failures.
• D.Execute the Deployment Manager template using the --previewoption in the same project, and observe the state of interdependent resources.

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