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Google Professional-Cloud-Database-Engineer certification is designed for individuals who possess a deep understanding of Google Cloud Platform's database services, best practices, and solutions. Google Cloud Certified - Professional Cloud Database Engineer certification is ideal for IT professionals who specialize in database administration, engineering, or architecture and are looking to validate their skills and knowledge in this field. By obtaining this certification, individuals can demonstrate their expertise in designing, deploying, and managing highly available, scalable, and secure databases on Google Cloud Platform.

Google Professional-Cloud-Database-Engineer Certification Exam is designed for professionals who have experience in designing, developing, and managing databases on the Google Cloud Platform. Google Cloud Certified - Professional Cloud Database Engineer certification demonstrates the candidate's ability to design, develop, and manage highly scalable, available, and secure databases on the Google Cloud Platform. Professional-Cloud-Database-Engineer exam covers a wide range of topics, including database design, data modeling, data migration, data synchronization, database security, database performance tuning, and disaster recovery.

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Google Professional-Cloud-Database-Engineer Certification Exam is a rigorous test that requires a deep understanding of Google Cloud Platform's database services. Candidates must have experience with Google Cloud SQL, Cloud Spanner, Cloud Bigtable, and other Google Cloud Platform database services. They should also have a good understanding of database design, data modeling, and database optimization.

Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q97-Q102):

NEW QUESTION # 97
You need to migrate a 1 TB PostgreSQL database from a Compute Engine VM to Cloud SQL for PostgreSQL. You want to ensure that there is minimal downtime during the migration. What should you do?

Answer: D


NEW QUESTION # 98
You want to migrate an on-premises MySQL database to Cloud SQL. The on-premises database currently has 16 cores and 64-GB of RAM and averages 75% CPU utilization to support an application with over 100.000 tables. You need to specify the most cost-effective machine size you need when migrating to Cloud SQL for MySQL. What should you do-

Answer: C

Explanation:
Matching your peak-sized on-prem configuration (16-vCPUs and 64-GB RAM) in Cloud SQL gives you the capacity to sustain your current 75% average CPU load plus headroom for traffic spikes. Downsizing to 12-vCPUs risks CPU saturation, while larger tiers would add unnecessary cost.


NEW QUESTION # 99
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?

Answer: D

Explanation:
Financial data, such as transaction histories, stock prices, and currency exchange rates.
https://cloud.google.com/bigtable/docs/overview#what-its-good-for
With SSD:
Reads - up to 10,000 rows per second
Writes - up to 10,000 rows per second
Scans - up to 220 MB/s
https://cloud.google.com/bigtable/docs/performance#typical-workloads


NEW QUESTION # 100
You are managing a set of Cloud SQL databases in Google Cloud. Regulations require that database backups reside in the region where the database is created. You want to minimize operational costs and administrative effort. What should you do?

Answer: D


NEW QUESTION # 101
During an internal audit, you realized that one of your Cloud SQL for MySQL instances does not have high availability (HA) enabled. You want to follow Google-recommended practices to enable HA on your existing instance. What should you do?

Answer: A


NEW QUESTION # 102
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