The application reliability team at your company has added a debug feature to their backend service to send all server events to Google Cloud Storage for eventual analysis. The event records are at least 50 KB and at most 15 MB and are expected to peak at 3,000 events per second. You want to minimize data loss.
Which process should you implement?

• A.Append metadata to file body.
  Compress individual files.
  Name files with serverName-Timestamp.
  Create a new bucket if bucket is older than 1 hour and save individual files to the new bucket.
  Otherwise, save files to existing bucket
• B.Batch every 10,000 events with a single manifest file for metadata.
  Compress event files and manifest file into a single archive file.
  Name files using serverName-EventSequence.
  Create a new bucket if bucket is older than 1 day and save the single archive file to the new bucket. Otherwise, save the single archive file to existing bucket.
• C.Compress individual files.
  Name files with serverName-EventSequence.
  Save files to one bucket
  Set custom metadata headers for each object after saving.
• D.Append metadata to file body.
  Compress individual files.
  Name files with a random prefix pattern.
  Save files to one bucket

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For this question, refer to the Dress4Win case study.
At Dress4Win, an operations engineer wants to create a tow-cost solution to remotely archive copies of database backup files. The database files are compressed tar files stored in their current data center. How should he proceed?

• A.Create a cron script using gsutil to copy the files to a Coldline Storage bucket.
• B.Create a cron script using gsutil to copy the files to a Regional Storage bucket.
• C.Create a Cloud Storage Transfer Service Job to copy the files to a Coldline Storage bucket.
• D.Create a Cloud Storage Transfer Service job to copy the files to a Regional Storage bucket.

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You are implementing the infrastructure for a web service on Google Cloud. The web service needs to receive and store the data from 500,000 requests per second. The data will be queried later in real time, based on exact matches of a known set of attributes. There will be periods where the web service will not receive any requests. The business wants to keep costs low. Which web service platform and database should you use for the application?

• A.Cloud Run and BigQuery
• B.Cloud Run and Cloud Bigtable
• C.A Compute Engine autoscaling managed instance group and BigQuery
• D.A Compute Engine autoscaling managed instance group and Cloud Bigtable

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You are helping the QA team to roll out a new load-testing tool to test the scalability of your primary cloud services that run on Google Compute Engine with Cloud Bigtable. Which three requirements should they include? Choose 3 answers

• A.Ensure that the load tests validate the performance of Cloud Bigtable.
• B.Instrument the production services to record every transaction for replay by the load-testing tool.
• C.Schedule the load-testing tool to regularly run against the production environment.
• D.Instrument the load-testing tool and the target services with detailed logging and metrics collection.
• E.Create a separate Google Cloud project to use for the load-testing environment.
• F.Ensure all third-party systems your services use are capable of handling high load.

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To reduce costs, the Director of Engineering has required all developers to move their development infrastructure resources from on-premises virtual machines (VMs) to Google Cloud Platform. These resources go through multiple start/stop events during the day and require state to persist. You have been asked to design the process of running a development environment in Google Cloud while providing cost visibility to the finance department.
Which two steps should you take? Choose 2 answers.

• A.Use the - -no-auto-delete flag on all persistent disks and stop the VM
• B.Use the - -auto-delete flag on all persistent disks and terminate the VM
• C.Apply VM CPU utilization label and include it in the BigQuery billing export
• D.Use Google BigQuery billing export and labels to associate cost to groups
• E.Store all state into local SSD, snapshot the persistent disks, and terminate the VM
• F.Store all state in Google Cloud Storage, snapshot the persistent disks, and terminate the VM

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