You've seen some errors in the logs for a specific Deployment. You've narrowed the issue down to the Pod named "ad-generator" that is throwing the errors. Your engineers aren't able to reproduce the error in any other environment. They've told you that if they could just "connect into the container" for 5 minutes, they could figure out the root cause. What steps would allow them to run commands against the container?

• A.Use the kubectl exec -it ad-generator -- /bin/bash command to run a shell on that container.
• B.Use the kubectl exec -it -- /bin/bash command to run a shell on that container.
• C.Use the kubectl run command to run a shell on that container.
• D.Use the kubectl run ad-generator /bin/bash command to run a shell on that container.

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Your company set up a complex organizational structure on Google Could Platform. The structure includes hundreds of folders and projects. Only a few team members should be able to view the hierarchical structure.
You need to assign minimum permissions to these team members and you want to follow Google- recommended practices. What should you do?

• A.Add the users to roles/browser role.
• B.Add the users to roles/iam.roleViewer role.
• C.Add the users to a group, and add this group to roles/browser role.
• D.Add the users to a group, and add this group to roles/iam.roleViewer role.

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You have an application that uses Cloud Spanner as a database backend to keep current state information about users. Cloud Bigtable logs all events triggered by users. You export Cloud Spanner data to Cloud Storage during daily backups. One of your analysts asks you to join data from Cloud Spanner and Cloud Bigtable for specific users. You want to complete this ad hoc request as efficiently as possible. What should you do?

• A.Create two separate BigQuery external tables on Cloud Storage and Cloud Bigtable.
  Use the BigQuery console to join these tables through user fields, and apply appropriate filters.
• B.Create a dataflow job that copies data from Cloud Bigtable and Cloud Storage for specific users.
• C.Create a dataflow job that copies data from Cloud Bigtable and Cloud Spanner for specific users.
• D.Create a Cloud Dataproc cluster that runs a Spark job to extract data from Cloud Bigtable and Cloud Storage for specific users.

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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 --splits option to give a weight of 99 to the current version and a weight of 1 to the new version.
• B.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.
• C.Deploy the new version in the same application and use the --migrate option.
• 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 are using Deployment Manager to create a Google Kubernetes Engine cluster. Using the same Deployment Manager deployment, you also want to create a DaemonSet in the kube-system namespace of the cluster. You want a solution that uses the fewest possible services. What should you do?

• A.Add the cluster's API as a new Type Provider in Deployment Manager, and use the new type to create the DaemonSet.
• B.Use the Deployment Manager Runtime Configurator to create a new Config resource that contains the DaemonSet definition.
• C.With Deployment Manager, create a Compute Engine instance with a startup script that uses kubectl to create the DaemonSet.
• D.In the cluster's definition in Deployment Manager, add a metadata that has kube-system as key and the DaemonSet manifest as value.

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