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Google Professional-Cloud-Database-Engineer certification is designed for database professionals who want to validate their skills in designing, building, and managing scalable and reliable database solutions on Google Cloud Platform. Google Cloud Certified - Professional Cloud Database Engineer certification is suitable for individuals who have a solid understanding of database concepts and working experience with databases, and want to demonstrate their expertise in designing and maintaining database systems on Google Cloud.

To become certified as a Google Professional-Cloud-Database-Engineer, candidates must demonstrate their proficiency in these areas by passing a rigorous exam. Professional-Cloud-Database-Engineer Exam consists of multiple choice and scenario-based questions, and candidates have two hours to complete it. Professional-Cloud-Database-Engineer exam can be taken online, and there are no prerequisites for taking it.

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Earning the Google Professional-Cloud-Database-Engineer Certification can help you advance your career in the field of cloud database management. Google Cloud Certified - Professional Cloud Database Engineer certification demonstrates that you have the skills and expertise required to design, develop, and maintain scalable and secure databases on the Google Cloud Platform. With this certification, you can enhance your job prospects and increase your earning potential. Additionally, you can gain recognition as a proficient database professional who can handle complex database management tasks on the cloud.

Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q151-Q156):

NEW QUESTION # 151
Your organization deploys a high-volume, low-latency sensor data ingestion system. Resilience is crucial, and the workload is expected to grow significantly over time. You need to design a database tier on Google Cloud to ensure faster performance and high availability, while following Google-recommended practices. What should you do-

Answer: A

Explanation:
Provisioning a multi-zone Cloud Bigtable cluster gives you zonal failover for high availability and lets Bigtable's built-in replication optimize throughput and latency as ingest load grows.
Performing an application stress test validates cluster sizing under peak writes, and ongoing performance monitoring ensures you can scale nodes proactively - all matching Google's best practices.


NEW QUESTION # 152
Your company uses Bigtable for a user-facing application that displays a low-latency real-time dashboard. You need to recommend the optimal storage type for this read-intensive database. What should you do?

Answer: D


NEW QUESTION # 153
An analytics team needs to read data out of Cloud SQL for SQL Server and update a table in Cloud Spanner. You need to create a service account and grant least privilege access using predefined roles. What roles should you assign to the service account?

Answer: C


NEW QUESTION # 154
You are designing a payments processing application on Google Cloud. The application must continue to serve requests and avoid any user disruption if a regional failure occurs. You need to use AES-256 to encrypt data in the database, and you want to control where you store the encryption key. What should you do?

Answer: D

Explanation:
Yes default encryption comes with AES-256 but the question states that you need to control where you store the encryption keys. that can be achieved by CMEK.


NEW QUESTION # 155
You are managing a Cloud SQL for PostgreSQL instance in Google Cloud. You need to test the high availability of your Cloud SQL instance by performing a failover. You want to use the cloud command. What should you do?

Answer: A

Explanation:
https://cloud.google.com/sdk/gcloud/reference/sql/instances/failover


NEW QUESTION # 156
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