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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Your company has announced that they will be outsourcing operations functions. You want to allow developers to easily stage new versions of a cloud-based application in the production environment and allow the outsourced operations team to autonomously promote staged versions to production. You want to minimize the operational overhead of the solution. Which Google Cloud product should you migrate to?

• A.App Engine
• B.GKE On-Prem
• C.Compute Engine
• D.Google Kubernetes Engine

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You are designing an application for use only during business hours. For the minimum viable product release, you'd like to use a managed product that automatically "scales to zero" so you don't incur costs when there is no activity.
Which primary compute resource should you choose?

• A.AppEngine flexible environment
• B.Cloud Functions
• C.Kubernetes Engine
• D.Compute Engine

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You want to create a private connection between your instances on Compute Engine and your on-premises data center. You require a connection of at least 20 Gbps. You want to follow Google-recommended practices.
How should you set up the connection?

• A.Create a VPC and connect it to your on-premises data center using a single Cloud VPN.
• B.Create a VPC and connect it to your on-premises data center using Dedicated Interconnect.
• C.Create a Cloud Content Delivery Network (Cloud CDN) and connect it to your on-premises datacenter using a single Cloud VPN.
• D.Create a Cloud Content Delivery Network (Cloud CDN) and connect it to your on-premises data center using Dedicated Interconnect.

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For this question, refer to the Mountkirk Games case study.
Mountkirk Games wants to set up a real-time analytics platform for their new game. The new platform must meet their technical requirements. Which combination of Google technologies will meet all of their requirements?

• A.Container Engine, Cloud Pub/Sub, and Cloud SQL
• B.Cloud Dataflow, Cloud Storage, Cloud Pub/Sub, and BigQuery
• C.Cloud SQL, Cloud Storage, Cloud Pub/Sub, and Cloud Dataflow
• D.Cloud Dataproc, Cloud Pub/Sub, Cloud SQL, and Cloud Dataflow
• E.Cloud Pub/Sub, Compute Engine, Cloud Storage, and Cloud Dataproc

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