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Professional-Cloud-Database-Engineer dumps questions answers

Google Professional-Cloud-Database-Engineer Dumps

Exam Code:
Professional-Cloud-Database-Engineer
Exam Name:
Google Cloud Certified - Professional Cloud Database Engineer
Last Update: Jun 20, 2024
132 Questions with Explanation
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Google Cloud Certified - Professional Cloud Database Engineer Questions and Answers

Questions 1

Your organization is running a critical production database on a virtual machine (VM) on Compute Engine. The VM has an ext4-formatted persistent disk for data files. The database will soon run out of storage space. You need to implement a solution that avoids downtime. What should you do?

Options:

A.

In the Google Cloud Console, increase the size of the persistent disk, and use the resize2fs command to extend the disk.

B.

In the Google Cloud Console, increase the size of the persistent disk, and use the fdisk command to verify that the new space is ready to use

C.

In the Google Cloud 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.

D.

In the Google Cloud Console, create a new persistent disk attached to the VM, and configure the database service to move the files to the new disk.

Questions 2

Your digital-native business runs its database workloads on Cloud SQL. Your website must be globally accessible 24/7. You need to prepare your Cloud SQL instance for high availability (HA). You want to follow Google-recommended practices. What should you do? (Choose two.)

Options:

A.

Set up manual backups.

B.

Create a PostgreSQL database on-premises as the HA option.

C.

Configure single zone availability for automated backups.

D.

Enable point-in-time recovery.

E.

Schedule automated backups.

Questions 3

Your team is building an application that stores and analyzes streaming time series financial data. You need a database solution that can perform time series-based scans with sub-second latency. The solution must scale into the hundreds of terabytes and be able to write up to 10k records per second and read up to 200 MB per second. What should you do?

Options:

A.

Use Firestore.

B.

Use Bigtable

C.

Use BigQuery.

D.

Use Cloud Spanner.

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