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Free Google Cloud Architect Professional Exam Braindumps (page: 33)

Page 32 of 68
PDF with 278 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?

  1. Configure a cron job to use the gcloud tool to take regular backups using persistent disk snapshots.
  2. Mount a Local SSD volume as the backup location. After the backup is complete, use gsutil to move the backup to Google Cloud Storage.
  3. Use gcsfuse to mount a Google Cloud Storage bucket as a volume directly on the instance and write backups to the mounted location using mysqldump
  4. 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.

Answer(s): B

Explanation:

https://cloud.google.com/compute/docs/instances/sql-server/best-practices



You deploy your custom Java application to Google App Engine. It fails to deploy and gives you the following stack trace.

What should you do?

  1. Upload missing JAR files and redeploy your application.
  2. Digitally sign all of your JAR files and redeploy your application
  3. Recompile the CLoakedServlet class using and MD5 hash instead of SHA1

Answer(s): B



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?


  1. · 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

  2. · 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.

  3. · Compress individual files.

    · Name files with serverName-EventSequence.

    · Save files to one bucket

    · Set custom metadata headers for each object after saving.

  4. · Append metadata to file body.

    · Compress individual files.

    · Name files with a random prefix pattern.

    · Save files to one bucket

Answer(s): D

Explanation:

In order to maintain a high request rate, avoid using sequential names. Using completely random object names will give you the best load distribution. Randomness after a common prefix is effective under the prefix https://cloud.google.com/storage/docs/request-rate



A lead software engineer tells you that his new application design uses websockets and HTTP sessions that are not distributed across the web servers. You want to help him ensure his application will run property on Google Cloud Platform.
What should you do?

  1. Help the engineer to convert his websocket code to use HTTP streaming.
  2. Review the encryption requirements for websocket connections with the security team.
  3. Meet with the cloud operations team and the engineer to discuss load balancer options.
  4. Help the engineer redesign the application to use a distributed user session service that does not rely on websockets and HTTP sessions.

Answer(s): C

Explanation:

Google Cloud Platform (GCP) HTTP(S) load balancing provides global load balancing for HTTP(S) requests destined for your instances.
The HTTP(S) load balancer has native support for the WebSocket protocol.

Incorrect Answers:
A: HTTP server push, also known as HTTP streaming, is a client-server communication pattern that sends information from an HTTP server to a client asynchronously, without a client request. A server push architecture is especially effective for highly interactive web or mobile applications, where one or more clients need to receive continuous information from the server.


Reference:

https://cloud.google.com/compute/docs/load-balancing/http/






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