Unlock Your Potential with Google Professional-Cloud-Database-Engineer Exam Questions

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Google Professional-Cloud-Database-Engineer Exam is a certification exam offered by Google Cloud that tests an individual's knowledge and skills in designing, developing, and managing cloud-based database solutions using Google Cloud Platform. Google Cloud Certified - Professional Cloud Database Engineer certification is designed for individuals who have experience in database administration, database development, and cloud computing.

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Google Cloud Certified - Professional Cloud Database Engineer Sample Questions (Q99-Q104):

NEW QUESTION # 99
You are migrating your on-premises PostgreSQL database to Spanner. You need to identify a solution for handling existing integer-based table primary keys. You want minimal changes to the applications while also following Google-recommended practices. What should you do-

Answer: D

Explanation:
Using Spanner's BIT_REVERSED_POSITIVE sequence function lets you keep your existing integer-typed keys while automatically scattering new key values across Spanner's key space, avoiding hotspotting. This approach requires minimal application changes (you still use integers) and follows Google's guidance for distributed primary keys in Spanner.


NEW QUESTION # 100
You are running an instance of Cloud Spanner as the backend of your ecommerce website. You learn that the quality assurance (QA) team has doubled the number of their test cases. You need to create a copy of your Cloud Spanner database in a new test environment to accommodate the additional test cases. You want to follow Google-recommended practices. What should you do?

Answer: A


NEW QUESTION # 101
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 # 102
You are managing a small Cloud SQL instance for developers to do testing. The instance is not critical and has a recovery point objective (RPO) of several days. You want to minimize ongoing costs for this instance. What should you do?

Answer: D


NEW QUESTION # 103
Your retail organization is preparing for the holiday season. Use of catalog services is increasing, and your DevOps team is supporting the Cloud SQL databases that power a microservices-based application. The DevOps team has added instrumentation through Sqlcommenter. You need to identify the root cause of why certain microservice calls are failing. What should you do?

Answer: A


NEW QUESTION # 104
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