Free PROFESSIONAL CLOUD DATABASE ENGINEER Exam Braindumps
Professional Cloud Database Engineer Questions 36–40 (page: 9)

Updated On: 10-Feb-2026

You released a popular mobile game and are using a 50 TB Cloud Spanner instance to store game data in a PITR-enabled production environment.
When you analyzed the game statistics, you realized that some players are exploiting a loophole to gather more points to get on the leaderboard. Another DBA accidentally ran an emergency bugfix script that corrupted some of the data in the production environment. You need to determine the extent of the data corruption and restore the production environment.
What should you do? (Choose two.)

  1. If the corruption is significant, use backup and restore, and specify a recovery timestamp.
  2. If the corruption is significant, perform a stale read and specify a recovery timestamp. Write the results back.
  3. If the corruption is significant, use import and export.
  4. If the corruption is insignificant, use backup and restore, and specify a recovery timestamp.
  5. If the corruption is insignificant, perform a stale read and specify a recovery timestamp. Write the results back.

Answer(s): A,E

Explanation:

https://cloud.google.com/spanner/docs/pitr#ways-to-recover To recover the entire database, backup or export the database specifying a timestamp in the past and then restore or import it to a new database. This is typically used to recover from data corruption issues when you have to revert the entire database to a point-in-time before the corruption occurred.
This part describes significant corruption - A

To recover a portion of the database, perform a stale read specifying a query-condition and timestamp in the past, and then write the results back into the live database. This is typically used for surgical operations on a live database. For example, if you accidentally delete a particular row or incorrectly update a subset of data, you can recover it with this method.
This describes insignificant corruption case ­ E
https://cloud.google.com/spanner/docs/pitr https://cloud.google.com/spanner/docs/backup/restore-backup



You are starting a large CSV import into a Cloud SQL for MySQL instance that has many open connections. You checked memory and CPU usage, and sufficient resources are available. You want to follow Google-recommended practices to ensure that the import will not time out.
What should you do?

  1. Close idle connections or restart the instance before beginning the import operation.
  2. Increase the amount of memory allocated to your instance.
  3. Ensure that the service account has the Storage Admin role.
  4. Increase the number of CPUs for the instance to ensure that it can handle the additional import operation.

Answer(s): A

Explanation:

https://cloud.google.com/sql/docs/mysql/import-export#troubleshooting



You are migrating your data center to Google Cloud. You plan to migrate your applications to Compute Engine and your Oracle databases to Bare Metal Solution for Oracle. You must ensure that the applications in different projects can communicate securely and efficiently with the Oracle databases.
What should you do?

  1. Set up a Shared VPC, configure multiple service projects, and create firewall rules.
  2. Set up Serverless VPC Access.
  3. Set up Private Service Connect.
  4. Set up Traffic Director.

Answer(s): A

Explanation:

https://medium.com/google-cloud/shared-vpc-in-google-cloud- 64527e0a409e#:~:text=Unlike%20VPC%20peering%2C%20Shared%20VPC%20connects%20projects

%20within%20the%20same%20organization.&text=There%20are%20a%20lot%20of,between%20VP Cs%20in%20different%20projects.



You are running an instance of Cloud Spanner as the backend of your ecommerce website. You learn that the quality assurance (QA) team has doubled the number of their test cases. You need to create a copy of your Cloud Spanner database in a new test environment to accommodate the additional test cases. You want to follow Google-recommended practices.
What should you do?

  1. Use Cloud Functions to run the export in Avro format.
  2. Use Cloud Functions to run the export in text format.
  3. Use Dataflow to run the export in Avro format.
  4. Use Dataflow to run the export in text format.

Answer(s): C

Explanation:

https://cloud.google.com/spanner/docs/import-export-overview#file-format



You need to redesign the architecture of an application that currently uses Cloud SQL for PostgreSQL. The users of the application complain about slow query response times. You want to enhance your application architecture to offer sub-millisecond query latency.
What should you do?

  1. Configure Firestore, and modify your application to offload queries.
  2. Configure Bigtable, and modify your application to offload queries.
  3. Configure Cloud SQL for PostgreSQL read replicas to offload queries.
  4. Configure Memorystore, and modify your application to offload queries.

Answer(s): D

Explanation:

"sub-millisecond latency" always involves Memorystore. Furthermore, as we are talking about a relational DB (Cloud SQL), BigTable is not a solution to be considered.



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