Professional-Cloud-Database-Engineer Test Pattern & Test Professional-Cloud-Database-Engineer Guide

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Google Professional-Cloud-Database-Engineer Exam is a certification exam that is designed to test the skills and knowledge of professionals who are responsible for managing and administering databases on the Google Cloud Platform. Professional-Cloud-Database-Engineer exam is part of the Google Cloud Certified program, which is a professional certification program offered by Google for individuals who want to demonstrate their expertise in Google Cloud technologies.

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 Sample Questions (Q115-Q120):

NEW QUESTION # 115
You are running a large, highly transactional application on Oracle Real Application Cluster (RAC) that is multi-tenant and uses shared storage. You need a solution that ensures high- performance throughput and a low-latency connection between applications and databases. The solution must also support existing Oracle features and provide ease of migration to Google Cloud. What should you do?

Answer: D


NEW QUESTION # 116
You are managing multiple applications connecting to a database on Cloud SQL for PostgreSQL.
You need to be able to monitor database performance to easily identify applications with long- running and resource-intensive queries. What should you do?

Answer: B

Explanation:
https://cloud.google.com/sql/docs/mysql/using-query-insights#introduction


NEW QUESTION # 117
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: D

Explanation:
https://cloud.google.com/blog/topics/developers-practitioners/introducing-sqlcommenter-open-source-orm-auto-instrumentation-library


NEW QUESTION # 118
In Cloud SQL for MySQL, which deployment achieves high availability and disaster recovery while maintaining low read and write latency in the primary region?

Answer: B

Explanation:
This design keeps all traffic within the primary region so application read and write latency remains low. Placing the replica in a different zone provides resilience to zonal failures which delivers high availability. You can promote the replica quickly if the primary becomes unavailable which supports disaster recovery objectives without routing data across regions. Replication is asynchronous which limits write impact on the primary and it also adds local read capacity.


NEW QUESTION # 119
Your organization has an existing app that just went viral. The app uses a Cloud SQL for MySQL backend database that is experiencing slow disk performance while using hard disk drives (HDDs). You need to improve performance and reduce disk I/O wait times. What should you do?

Answer: C

Explanation:
https://stackoverflow.com/questions/72034607/can-i-change-storage-type-from-hdd-to-ssd-on-cloud-sql-after-creating-an-instanc


NEW QUESTION # 120
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