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Google Professional-Cloud-Database-Engineer certification exam is an excellent opportunity for IT professionals to validate their expertise in cloud-based database solutions using GCP. Professional-Cloud-Database-Engineer exam covers a wide range of topics related to database administration, data modeling, security, scalability, and performance optimization. Candidates who pass the exam will receive a Google Cloud Certified - Professional Cloud Database Engineer certification, which can help them advance their career and increase their earning potential.

To earn the Professional-Cloud-Database-Engineer Certification, candidates must pass a rigorous exam that assesses their knowledge and skills in various areas, including database design and implementation, data migration, backup and recovery, performance optimization, and security. Professional-Cloud-Database-Engineer exam consists of multiple-choice and multiple-select questions, and candidates have two hours to complete it. The passing score for the exam is 70%.

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Google Professional-Cloud-Database-Engineer certification exam consists of multiple-choice and multiple-select questions that assess a candidate's knowledge and skills in database design, data modeling, database migration, database administration, and database optimization. Professional-Cloud-Database-Engineer Exam evaluates a candidate's ability to design, implement, and manage highly available, scalable, and secure database solutions on Google Cloud Platform.

Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q208-Q213):

NEW QUESTION # 208
Your company is migrating a legacy on-premises Oracle database to Cloud SQL for PostgreSQL.
As a part of the migration, you need to convert schema and other database code objects, such as procedures, functions, and triggers, from Oracle to PostgreSQL. The database migration needs to be accomplished with minimal application code changes and manual intervention. What is the Google-recommended approach you should do-

Answer: A

Explanation:
Use Database Migration Service's conversion workspace to auto-convert your Oracle schema and PL/SQL code into PostgreSQL DDL and PL/pgSQL. Then simply review and refactor any edge cases - this approach minimizes manual rewrites and keeps application changes to a minimum.


NEW QUESTION # 209
Your organization has a ticketing system that needs an online marketing analytics and reporting application.
You need to select a relational database that can manage hundreds of terabytes of data to support this new application. Which database should you use?

Answer: B


NEW QUESTION # 210
You are responsible for designing a new database for an airline ticketing application in Google Cloud. This application must be able to:
Work with transactions and offer strong consistency.
Work with structured and semi-structured (JSON) data.
Scale transparently to multiple regions globally as the operation grows.
You need a Google Cloud database that meets all the requirements of the application. What should you do?

Answer: C


NEW QUESTION # 211
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?

Answer: A

Explanation:
https://cloud.google.com/architecture/autoscaling-cloud-spanner#linear


NEW QUESTION # 212
You plan to use Database Migration Service to migrate data from a PostgreSQL on-premises instance to Cloud SQL. You need to identify the prerequisites for creating and automating the task. What should you do? (Choose two.)

Answer: C,E


NEW QUESTION # 213
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