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.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.
• 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.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.

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You create a Deployment with 2 replicas in a Google Kubernetes Engine cluster that has a single preemptible node pool. After a few minutes, you use kubectl to examine the status of your Pod and observe that one of them is still in Pending status:

What is the most likely cause?

• A.Too many Pods are already running in the cluster, and there are not enough resources left to schedule the pending Pod.
• B.The node pool is configured with a service account that does not have permission to pull the container image used by the pending Pod.
• C.The pending Pod's resource requests are too large to fit on a single node of the cluster.
• D.The pending Pod was originally scheduled on a node that has been preempted between the creation of the Deployment and your verification of the Pods' status. It is currently being rescheduled on a new node.

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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 a dataflow job that copies data from Cloud Bigtable and Cloud Storage for specific users.
• B.Create a dataflow job that copies data from Cloud Bigtable and Cloud Spanner for specific users.
• C.Create a Cloud Dataproc cluster that runs a Spark job to extract data from Cloud Bigtable and Cloud Storage for specific users.
• D.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.

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The sales team has a project named Sales Data Digest that has the ID acme-data-digest You need to set up similar Google Cloud resources for the marketing team but their resources must be organized independently of the sales team. What should you do?

• A.Grant the Project Editor role to the Marketing learn for acme data digest
• B.Create a Project Lien on acme-data digest and then grant the Project Editor role to the Marketing team
• C.Create another protect with the ID acme-marketing-data-digest for the Marketing team and deploy the resources there
• D.Create a new protect named Meeting Data Digest and use the ID acme-data-digest Grant the Project Editor role to the Marketing team.

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You are configuring service accounts for an application that spans multiple projects. Virtual machines (VMs) running in the web-applications project need access to BigQuery datasets in crm-databases-proj. You want to follow Google-recommended practices to give access to the service account in the web- applications project. What should you do?

• A.Give "project owner" for web-applications appropriate roles to crm-databases- proj
• B.Give "project owner" role to crm-databases-proj and the web-applications project.
• C.Give "project owner" role to crm-databases-proj and bigquery.dataViewer role to web- applications.
• D.Give bigquery.dataViewer role to crm-databases-proj and appropriate roles to web-applications.

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