Valid Professional-Cloud-Database-Engineer Exam Papers | Professional-Cloud-Database-Engineer Pass Test

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Google Professional-Cloud-Database-Engineer Exam is a certification exam that is designed to test the skills and knowledge of professionals who are responsible for managing and administering databases on the Google Cloud Platform. Professional-Cloud-Database-Engineer exam is part of the Google Cloud Certified program, which is a professional certification program offered by Google for individuals who want to demonstrate their expertise in Google Cloud technologies.

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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 Professional-Cloud-Database-Engineer Certification Exam is an excellent opportunity for database professionals to enhance their skills and knowledge in database development and management on the Google Cloud Platform. With this certification, professionals can demonstrate their expertise to potential employers and advance their careers in the field of database management.

Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q65-Q70):

NEW QUESTION # 65
Your DevOps team is using Terraform to deploy applications and Cloud SQL databases. After every new application change is rolled out, the environment is torn down and recreated, and the persistent database layer is lost. You need to prevent the database from being dropped. What should you do?

A. Set Terraform deletion_protection to true.
B. Use point-in-time-recovery (PITR) to recover the database.
C. Rerun terraform apply.
D. Create a read replica.

Answer: A

Explanation:
https://cloud.google.com/docs/terraform/best-practices-for-terraform#stateful-resources

NEW QUESTION # 66
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 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.
B. In the Google Cloud Console, increase the size of the persistent disk, and use the resize2fs command to extend the disk.
C. 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.
D. 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

Answer: B

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

NEW QUESTION # 67
Your retail organization is preparing for the holiday season. Use of catalog services is increasing, and your DevOps team is supporting the Cloud SQL databases that power a microservices-based application. The DevOps team has added instrumentation through Sqlcommenter. You need to identify the root cause of why certain microservice calls are failing. What should you do?

A. Watch the Cloud SQL recommenders for overprovisioned instances.
B. Watch the Cloud SQL instance monitor for CPU utilization metrics.
C. Watch Cloud Trace for application requests that are failing.
D. Watch Query Insights for long running queries.

Answer: D

Explanation:
https://cloud.google.com/blog/topics/developers-practitioners/introducing-sqlcommenter-open-source-orm-auto-instrumentation-library

NEW QUESTION # 68
You are the database administrator of a Cloud SQL for PostgreSQL instance that has pgaudit disabled. Users are complaining that their queries are taking longer to execute and performance has degraded over the past few months. You need to collect and analyze query performance data to help identity slow-running queries. What should you do?

A. Use the Query Insights dashboard to identify high execution times.
B. View Cloud SQL operations to view historical query information.
C. White a Logs Explorer query to identify database queries with high execution times.
D. Review application logs to identify database calls.

Answer: A

NEW QUESTION # 69
You work for a financial services company that wants to use fully managed database services. Traffic volume for your consumer services products has increased annually at a constant rate with occasional spikes around holidays. You frequently need to upgrade the capacity of your database. You want to use Cloud Spanner and include an automated method to increase your hardware capacity to support a higher level of concurrency. What should you do?

A. Use direct scaling to implement the Autoscaler-based architecture.
B. Upgrade the Cloud Spanner instance on a periodic basis during the scheduled maintenance window.
C. Set up alerts that are triggered when Cloud Spanner utilization metrics breach the threshold, and then schedule an upgrade during the scheduled maintenance window.
D. Use linear scaling to implement the Autoscaler-based architecture

Answer: D

Explanation:
Linear scaling is best used with load patterns that change more gradually or have a few large peaks. The method calculates the minimum number of nodes or processing units required to keep utilization below the scaling threshold. The number of nodes or processing units added or removed in each scaling event is not limited to a fixed step amount. https://cloud.google.com/spanner/docs/autoscaling-overview#linear

NEW QUESTION # 70
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