You are moving an application that uses MySQL from on-premises to Google Cloud. The application will run on Compute Engine and will use Cloud SQL. You want to cut over to the Compute Engine deployment of the application with minimal downtime and no data loss to your customers. You want to migrate the application with minimal modification. You also need to determine the cutover strategy. What should you do?

• A.1. Set up Cloud VPN to provide private network connectivity between the Compute Engine application and the on-premises MySQL server.
  2.Stop the on-premises application.
  3.Create a mysqldump of the on-premises MySQL server.
  4.Upload the dump to a Cloud Storage bucket.
  5.Import the dump into Cloud SQL.
  6.Modify the source code of the application to write queries to both databases and read from its local database.
  7.Start the Compute Engine application.
  8.Stop the on-premises application.
• B.1. Set up Cloud SQL proxy and MySQL proxy.
  2.Create a mysqldump of the on-premises MySQL server.
  3.Upload the dump to a Cloud Storage bucket.
  4.Import the dump into Cloud SQL.
  5.Stop the on-premises application.
  6.Start the Compute Engine application.
• C.1. Set up Cloud VPN to provide private network connectivity between the Compute Engine application and the on-premises MySQL server.
  2.Stop the on-premises application.
  3.Start the Compute Engine application, configured to read and write to the on-premises MySQL server.
  4.Create the replication configuration in Cloud SQL.
  5.Configure the source database server to accept connections from the Cloud SQL replica.
  6.Finalize the Cloud SQL replica configuration.
  7.When replication has been completed, stop the Compute Engine application.
  8.Promote the Cloud SQL replica to a standalone instance.
  9.Restart the Compute Engine application, configured to read and write to the Cloud SQL standalone instance.
• D.1. Stop the on-premises application.
  2.Create a mysqldump of the on-premises MySQL server.
  3.Upload the dump to a Cloud Storage bucket.
  4.Import the dump into Cloud SQL.
  5.Start the application on Compute Engine.

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The development team has provided you with a Kubernetes Deployment file. You have no infrastructure yet and need to deploy the application. What should you do?

• A.Use gcloud to create a Kubernetes cluster. Use Deployment Manager to create the deployment.
• B.Use gcloud to create a Kubernetes cluster. Use kubect1 to create the deployment.
• C.Use kubect1 to create a Kubernetes cluster. Use Deployment Manager to create the deployment.
• D.Use kubect1 to create a Kubernetes cluster. Use kubect1 to create the deployment.

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Your company plans to migrate a multi-petabyte data set to the cloud. The data set must be available 24hrs a day. Your business analysts have experience only with using a SQL interface.
How should you store the data to optimize it for ease of analysis?

• A.Load data into Google BigQuery.
• B.Insert data into Google Cloud SQL.
• C.Put flat files into Google Cloud Storage.
• D.Stream data into Google Cloud Datastore.

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For this question, refer to the Dress4Win case study.
The Dress4Win security team has disabled external SSH access into production virtual machines (VMs) on Google Cloud Platform (GCP). The operations team needs to remotely manage the VMs, build and push Docker containers, and manage Google Cloud Storage objects. What can they do?

• A.Develop a new access request process that grants temporary SSH access to cloud VMs when an operations engineer needs to perform a task.
• B.Grant the operations engineers access to use Google Cloud Shell.
• C.Configure a VPN connection to GCP to allow SSH access to the cloud VMs.
• D.Have the development team build an API service that allows the operations team to execute specific remote procedure calls to accomplish their tasks.

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Your marketing department wants to send out a promotional email campaign. The development team wants to minimize direct operation management. They project a wide range of possible customer responses, from 100 to 500,000 click-throughs per day. The link leads to a simple website that explains the promotion and collects user information and preferences. Which infrastructure should you recommend? (CHOOSE TWO)

• A.Use Google App Engine to serve the website and Google Cloud Datastore to store user data.
• B.Use a Google Container Engine cluster to serve the website and store data to persistent disk.
• C.Use a managed instance group to serve the website and Google Cloud Bigtable to store user data.
• D.Use a single compute Engine virtual machine (VM) to host a web server, backed by Google Cloud SQL.

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