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100% Pass 2025 Google Professional-Cloud-Database-Engineer: Google Cloud Certified - Professional Cloud Database Engineer–High Hit-Rate Valid Exam Book

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The Google Professional-Cloud-Database-Engineer Exam consists of multiple-choice and multiple-select questions, and candidates are given two hours to complete it. Professional-Cloud-Database-Engineer exam covers a wide range of topics, including database design, data modeling, data migration, data security, and performance optimization. Candidates who successfully pass the exam earn the Google Cloud Certified - Professional Cloud Database Engineer certification, which is globally recognized as a validation of their expertise in cloud database management.

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Google Professional-Cloud-Database-Engineer Exam is one of the latest certification exams offered by Google Cloud. It is designed to validate the skills and knowledge of database engineers who have expertise in designing, developing, and managing databases on Google Cloud Platform. Google Cloud Certified - Professional Cloud Database Engineer certification exam is intended for database engineers, cloud architects, and database administrators who want to demonstrate their ability to design, develop, deploy, and maintain databases on Google Cloud Platform.

Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q59-Q64):

NEW QUESTION # 59
Your organization deployed a new version of a critical application that uses Cloud SQL for MySQL with high availability (HA) and binary logging enabled to store transactional information. The latest release of the application had an error that caused massive data corruption in your Cloud SQL for MySQL database. You need to minimize data loss. What should you do?

A. Fail over to the Cloud SQL for MySQL HA instance. Use that instance to recover the transactions that occurred before the corruption.
B. Open the Google Cloud Console, navigate to SQL > Backups, and select the last version of the automated backup before the corruption.
C. Reload the Cloud SQL for MySQL database using the LOAD DATA command to load data from CSV files that were used to initialize the instance.
D. Perform a point-in-time recovery of your Cloud SQL for MySQL database, selecting a date and time before the data was corrupted.

Answer: C

NEW QUESTION # 60
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. Thedatabase will soon run out of storage space.
You need to implement a solution that avoids downtime. What should you do?

A. 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.
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, increase the size of the persistent disk, and use the resize2fs command to extend the disk.
D. 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.

Answer: C

Explanation:
https://cloud.google.com/compute/docs/disks/resize-persistent-disk#resize_partitions

NEW QUESTION # 61
Your organization has an existing app that just went viral. The app uses a Cloud SQL for MySQL backend database that is experiencing slow disk performance while using hard disk drives (HDDs). You need to improve performance and reduce disk I/O wait times. What should you do?

A. Create a high availability (HA) failover instance with SSDs, and perform a failover to the new instance.
B. Edit the instance to change the storage type from HDD to SSD.
C. Export the data from the existing instance, and import the data into a new instance with solid-state drives (SSDs).
D. Create a read replica of the instance with SSDs, and perform a failover to the new instance

Answer: C

Explanation:
https://stackoverflow.com/questions/72034607/can-i-change-storage-type-from-hdd-to-ssd-on-cloud-sql-after-creating-an-instanc

NEW QUESTION # 62
You are the primary DBA of a Cloud SQL for PostgreSQL database that supports 6 enterprise applications in production. You used Cloud SQL Insights to identify inefficient queries and now need to identify the application that is originating the inefficient queries. You want to follow Google-recommended practices. What should you do?

A. Write a utility to scan application logs.
B. Write a utility to scan database query logs.
C. Use query tags to add application-centric database monitoring.
D. Shut down and restart each application.

Answer: B

NEW QUESTION # 63
Your organization stores marketing data such as customer preferences and purchase history on Bigtable. The consumers of this database are predominantly data analysts and operations users. You receive a service ticket from the database operations department citing poor database performance between 9 AM-10 AM every day. The application team has confirmed no latency from their logs. A new cohort of pilot users that is testing a dataset loaded from a third-party data provider is experiencing poor database performance. Other users are not affected. You need to troubleshoot the issue. What should you do?

A. Isolate the data analysts and operations user groups to use different Bigtable instances.
B. Check the Cloud Monitoring table/bytes_used metric from Bigtable.
C. Use Key Visualizer for Bigtable.
D. Add more nodes to the Bigtable cluster.

Answer: C

Explanation:
https://cloud.google.com/bigtable/docs/performance#troubleshooting

NEW QUESTION # 64
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