Mountkirk Games' gaming servers are not automatically scaling properly. Last month, they rolled out a new feature, which suddenly became very popular. A record number of users are trying to use the service, but many of them are getting 503 errors and very slow response times. What should they investigate first?

• A.Verify that the database is online
• B.Verify that the project quota hasn't been exceeded
• C.Verify that the new feature code did not introduce any performance bugs
• D.Verify that the load-testing team is not running their tool against production

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For this question, refer to the JencoMart case study.
JencoMart wants to move their User Profiles database to Google Cloud Platform. Which Google Database should they use?

• A.Cloud Spanner
• B.Google BigQuery
• C.Google Cloud SQL
• D.Google Cloud Datastore

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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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A production database virtual machine on Google Compute Engine has an ext4-formatted persistent disk for data files The database is about to run out of storage space How can you remediate the problem with the least amount of downtime?

• A.In the Cloud Platform Console, increase the size of the persistent disk and use the resize2fs command in Linux.
• B.Shut down the virtual machine, use the Cloud Platform Console to increase the persistent disk size, then restart the virtual machine.
• C.In the Cloud Platform Console, increase the size of the persistent disk and verify the new space is ready to use with the fdisk command in Linux.
• D.In the Cloud Platform Console, create a new persistent disk attached to the virtual machine, format and mount it, and configure the database service to move the files to the new disk.
• E.In the Cloud Platform Console, create a snapshot of the persistent disk, restore the snapshot to a new larger disk, unmount the old disk, mount the new disk, and restart the database service.

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Your company provides a recommendation engine for retail customers. You are providing retail customers with an API where they can submit a user ID and the API returns a list of recommendations for that user. You are responsible for the API lifecycle and want to ensure stability for your customers in case the API makes backward-incompatible changes. You want to follow Google-recommended practices. What should you do?

• A.Create a distribution list of all customers to inform them of an upcoming backward-incompatible change at least one month before replacing the old API with the new API.
• B.Create an automated process to generate API documentation, and update the public API documentation as part of the CI/CD process when deploying an update to the API.
• C.Use a versioning strategy for the APIs that increases the version number on every backward-incompatible change.
• D.Use a versioning strategy for the APIs that adds the suffix "DEPRECATED" to the current API version number on every backward-incompatible change. Use the current version number for the new API.

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