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Google Professional-Cloud-Database-Engineer certification exam is designed for professionals who are interested in demonstrating their expertise in designing and managing database solutions on the Google Cloud Platform. Google Cloud Certified - Professional Cloud Database Engineer certification is an excellent way for professionals to validate their skills and knowledge in working with cloud-based databases and to enhance their career prospects.

To be eligible to take the Google Professional-Cloud-Database-Engineer Certification Exam, you must have a minimum of three years of experience in database administration or data management, and at least one year of experience working with Google Cloud Platform. You should also have a strong understanding of SQL and database design principles. Professional-Cloud-Database-Engineer exam consists of multiple-choice questions and performance-based scenarios, and you will have two hours to complete it.

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To earn the Google Professional-Cloud-Database-Engineer certification, candidates must pass a single exam that tests their knowledge and skills in designing, developing, and managing secure and scalable database solutions on the Google Cloud Platform. Professional-Cloud-Database-Engineer Exam consists of multiple-choice questions and is administered online.

Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q98-Q103):

NEW QUESTION # 98
You are designing a database strategy for a new web application. You plan to start with a small pilot in one country and eventually expand to millions of users in a global audience. You need to ensure that the application can run 24/7 with minimal downtime for maintenance. What should you do?

Answer: C

Explanation:
https://docs.google.com/forms/d/e/1FAIpQLSfZ77ZnuUL0NpU-
bOtO5QUkC0cnRCe5YKMiubLXwfV3abBqkg/viewform


NEW QUESTION # 99
You finished migrating an on-premises MySQL database to Cloud SQL. You want to ensure that the daily export of a table, which was previously a cron job running on the database server, continues. You want the solution to minimize cost and operations overhead. What should you do?

Answer: C

Explanation:
https://cloud.google.com/blog/topics/developers-practitioners/scheduling-cloud-sql-exports-using-cloud-functions-and-cloud-scheduler


NEW QUESTION # 100
Your organization runs a high-volume, low-latency application on Bigtable. You need to reduce costs without compromising performance. What should you do-

Answer: A

Explanation:
The most cost-efficient way is to align your Bigtable schema and capacity with actual usage. By analyzing your access patterns, you can redesign row keys and column families to avoid hotspots and over-scanning, then right-size your node count to match peak throughput needs. This ensures you're only paying for the performance you actually require without any unnecessary overhead.


NEW QUESTION # 101
Your organization has a production Cloud SQL for MySQL instance. Your instance is configured with 16 vCPUs and 104 GB of RAM that is running between 90% and 100% CPU utilization for most of the day. You need to scale up the database and add vCPUs with minimal interruption and effort. What should you do?

Answer: C


NEW QUESTION # 102
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?

Answer: D

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


NEW QUESTION # 103
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