Your company is running a stateless application on a Compute Engine instance. The application is used heavily during regular business hours and lightly outside of business hours. Users are reporting that the application is slow during peak hours. You need to optimize the application's performance. What should you do?

• A.Create a snapshot of the existing disk. Create an instance template from the snapshot. Create an autoscaled managed instance group from the instance template.
• B.Create a snapshot of the existing disk. Create a custom image from the snapshot. Create an autoscaled managed instance group from the custom image.
• C.Create a custom image from the existing disk. Create an instance template from the custom image. Create an autoscaled managed instance group from the instance template.
• D.Create an instance template from the existing disk. Create a custom image from the instance template. Create an autoscaled managed instance group from the custom image.

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For this question, refer to the TerramEarth case study. TerramEarth has decided to store data files in Cloud Storage. You need to configure Cloud Storage lifecycle rule to store 1 year of data and minimize file storage cost.
Which two actions should you take?

• A.Create a Cloud Storage lifecycle rule with Age: "30", Storage Class: "Standard", and Action: "Set to Coldline", and create a second GCS life-cycle rule with Age: "365", Storage Class: "Nearline", and Action:
  "Delete".
• B.Create a Cloud Storage lifecycle rule with Age: "30", Storage Class: "Standard", and Action: "Set to Coldline", and create a second GCS life-cycle rule with Age: "365", Storage Class: "Coldline", and Action:
  "Delete".
• C.Create a Cloud Storage lifecycle rule with Age: "90", Storage Class: "Standard", and Action: "Set to Nearline", and create a second GCS life-cycle rule with Age: "91", Storage Class: "Nearline", and Action:
  "Set to Coldline".
• D.Create a Cloud Storage lifecycle rule with Age: "30", Storage Class: "Coldline", and Action: "Set to Nearline", and create a second GCS life-cycle rule with Age: "91", Storage Class: "Coldline", and Action: "Set to Nearline".

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You need to reduce the number of unplanned rollbacks of erroneous production deployments in your company's web hosting platform. Improvement to the QA/Test processes accomplished an 80% reduction.
Which additional two approaches can you take to further reduce the rollbacks? Choose 2 answers.

• A.Replace the platform's relational database systems with a NoSQL database
• B.Fragment the monolithic platform into microservices
• C.Introduce a green-blue deployment model
• D.Reduce the platform's dependency on relational database systems
• E.Replace the QA environment with canary releases

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Dress4Win has end-to-end tests covering 100% of their endpoints.
They want to ensure that the move to the cloud does not introduce any new bugs.
Which additional testing methods should the developers employ to prevent an outage?

• A.They should run the end-to-end tests in the cloud staging environment to determine if the code is
  working as intended.
• B.They should enable Google Stackdriver Debugger on the application code to show errors in the code.
• C.They should add additional unit tests and production scale load tests on their cloud staging
  environment.
• D.They should add canary tests so developers can measure how much of an impact the new release
  causes to latency.

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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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