← Back to exam page

Professional-Cloud-Architect – Professional Cloud Architect on Google Cloud Platform

Loading demo links...

Showing 7–9 of 15 questions

Question 7 (Mixed Questions)

A lead engineer wrote a custom tool that deploys virtual machines in the legacy data center. He wants to migrate the custom tool to the new cloud environment. You want to advocate for the adoption of Google Cloud Deployment Manager.

What are two business risks of migrating to Cloud Deployment Manager? (Choose two.)

Select all that apply, then click Submit answer.

  • ○

    Cloud Deployment Manager uses Python
  • ○

    Cloud Deployment Manager APIs could be deprecated in the future
  • ○

    Cloud Deployment Manager is unfamiliar to the company’s engineers
  • ○

    Cloud Deployment Manager requires a Google APIs service account to run
  • ○

    Cloud Deployment Manager can be used to permanently delete cloud resources
  • ○

    Cloud Deployment Manager only supports automation of Google Cloud resources
Question 8 (Mixed Questions)

Your company runs several databases on a single MySQL instance. They need to take backups of a specific database at regular intervals. The backup activity needs to complete as quickly as possible and cannot be allowed to impact disk performance.

How should you configure the storage?

Select an option, then click Submit answer.

  • ○

    Configure a cron job to use the gcloud tool to take regular backups using persistent disk snapshots.
  • ○

    Mount a Local SSD volume as the backup location. After the backup is complete, use gsutil to move the backup to Google Cloud Storage.

  • ○

    Use gcsfise to mount a Google Cloud Storage bucket as a volume directly on the instance and write backups to the mounted location using mysqldump.

  • ○

    Mount additional persistent disk volumes onto each virtual machine (VM) instance in a RAID10 array and use LVM to create snapshots to send to Cloud Storage
Question 9 (Mixed Questions)

The application reliability team at your company this 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?

Select an option, then click Submit answer.

  • ○

    • 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.
     
  • ○

    • 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.
     
  • ○

    • Compress individual files
    • Name files with serverName – EventSequence
    • Save files to one bucket
    • Set custom metadata headers for each object after saving
     

  • ○ Append metadata to file body
    Compress individual files
    Name files with a random prefix pattern
    Save files to one bucket