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The Professional-Cloud-Database-Engineer Exam is intended for individuals who have experience working with databases on the Google Cloud Platform. Professional-Cloud-Database-Engineer exam covers a wide range of topics, including database design, data modeling, data warehousing, data migration, database security, and database optimization. It also covers topics related to managing databases in a cloud environment, such as scalability, availability, and disaster recovery.

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Google Cloud Certified - Professional Cloud Database Engineer certification exam is a credential offered by Google to validate the skills and expertise of professionals who design and manage databases on Google Cloud. Google Cloud Certified - Professional Cloud Database Engineer certification exam is designed for individuals who have experience in designing, implementing, and managing databases on Google Cloud Platform. Professional-Cloud-Database-Engineer Exam Tests the candidate's knowledge of database concepts, cloud-native database services, database design and implementation, automation, and security.

Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q183-Q188):

NEW QUESTION # 183
You are choosing a new database backend for an existing application. The current database is running PostgreSQL on an on-premises VM and is managed by a database administrator and operations team. The application data is relational and has light traffic. You want to minimize costs and the migration effort for this application. What should you do?

Answer: C

Explanation:
You could migrate to Spanner leveraging the PostgreSQL dialect, but costs need to be minimized so that wouldn't be the cheapest option. Especially since the load doesn't justify Spanner. Again, you could migrate like-for-like to a GCE VM, but that defeats minimizing the migration effort. The cheapest and easiest way to migrate would be Database Migration Service to Cloud SQL for PostgreSQL.


NEW QUESTION # 184
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: D


NEW QUESTION # 185
Your organization is currently updating an existing corporate application that is running in another public cloud to access managed database services in Google Cloud. The application will remain in the other public cloud while the database is migrated to Google Cloud. You want to follow Google-recommended practices for authentication. You need to minimize user disruption during the migration. What should you do?

Answer: C


NEW QUESTION # 186
You are choosing a new database backend for an existing application. The current database is running PostgreSQL on an on-premises VM and is managed by a database administrator and operations team. The application data is relational and has light traffic. You want to minimize costs and the migration effort for this application. What should you do?

Answer: C


NEW QUESTION # 187
You have a Cloud SQL for MySQL instance with a table of product information including a column of product descriptions. Your application development team is building a customer facing chatbot and would like to find the product that most closely matches a freeform text description provided by the customer. How should you enable this functionality-

Answer: A

Explanation:
By precomputing embeddings for each product description and storing them in your table, you can turn a freeform customer query into an embedding and then run an approximate nearest- neighbor search to find the semantically closest products. This approach delivers much more relevant matches than regex, LIKE, or SOUNDEX without overloading the database with expensive text-processing on every query.


NEW QUESTION # 188
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