CertsTopics Logo

Winter Sale - Limited Time 65% Discount Offer - Ends in 0d 00h 00m 00s - Coupon code: top65certs

Google Professional-Cloud-Database-Engineer Exam With Confidence Using Practice Dumps

Exam Code:
Professional-Cloud-Database-Engineer
Exam Name:
Google Cloud Certified - Professional Cloud Database Engineer
Certification:
Cloud Database Engineer
Vendor:
Google
Questions:
141
Last Updated:
Feb 10, 2026
Exam Status:
Stable
Google Professional-Cloud-Database-Engineer

Professional-Cloud-Database-Engineer: Cloud Database Engineer Exam 2025 Study Guide Pdf and Test Engine

Are you worried about passing the Google Professional-Cloud-Database-Engineer (Google Cloud Certified - Professional Cloud Database Engineer) exam? Download the most recent Google Professional-Cloud-Database-Engineer braindumps with answers that are 100% real. After downloading the Google Professional-Cloud-Database-Engineer exam dumps training , you can receive 99 days of free updates, making this website one of the best options to save additional money. In order to help you prepare for the Google Professional-Cloud-Database-Engineer exam questions and verified answers by IT certified experts, CertsTopics has put together a complete collection of dumps questions and answers. To help you prepare and pass the Google Professional-Cloud-Database-Engineer exam on your first attempt, we have compiled actual exam questions and their answers. 

Our (Google Cloud Certified - Professional Cloud Database Engineer) Study Materials are designed to meet the needs of thousands of candidates globally. A free sample of the CompTIA Professional-Cloud-Database-Engineer test is available at CertsTopics. Before purchasing it, you can also see the Google Professional-Cloud-Database-Engineer practice exam demo.

Get Professional-Cloud-Database-Engineer Full Access

Related Google Exams

Google Cloud Certified - Professional Cloud Database Engineer Questions and Answers

Get Free Professional-Cloud-Database-Engineer Questions and Answers
Question 1

You need to migrate existing databases from Microsoft SQL Server 2016 Standard Edition on a single Windows Server 2019 Datacenter Edition to a single Cloud SQL for SQL Server instance. During the discovery phase of your project, you notice that your on-premises server peaks at around 25,000 read IOPS. You need to ensure that your Cloud SQL instance is sized appropriately to maximize read performance. What should you do?

Options:

A.

Create a SQL Server 2019 Standard on Standard machine type with 4 vCPUs, 15 GB of RAM, and 800 GB of solid-state drive (SSD).

B.

Create a SQL Server 2019 Standard on High Memory machine type with at least 16 vCPUs, 104 GB of RAM, and 200 GB of SSD.

C.

Create a SQL Server 2019 Standard on High Memory machine type with 16 vCPUs, 104 GB of RAM, and 4 TB of SSD.

D.

Create a SQL Server 2019 Enterprise on High Memory machine type with 16 vCPUs, 104 GB of RAM, and 500 GB of SSD.

Buy Now
Question 2

You are configuring a new application that has access to an existing Cloud Spanner database. The new application reads from this database to gather statistics for a dashboard. You want to follow Google-recommended practices when granting Identity and Access Management (IAM) permissions. What should you do?

Options:

A.

Reuse the existing service account that populates this database.

B.

Create a new service account, and grant it the Cloud Spanner Database Admin role.

C.

Create a new service account, and grant it the Cloud Spanner Database Reader role.

D.

Create a new service account, and grant it the spanner.databases.select permission.

Question 3

You work for a large retail and ecommerce company that is starting to extend their business globally. Your company plans to migrate to Google Cloud. You want to use platforms that will scale easily, handle transactions with the least amount of latency, and provide a reliable customer experience. You need a storage layer for sales transactions and current inventory levels. You want to retain the same relational schema that your existing platform uses. What should you do?

Options:

A.

Store your data in Firestore in a multi-region location, and place your compute resources in one of the constituent regions.

B.

Deploy Cloud Spanner using a multi-region instance, and place your compute resources close to the default leader region.

C.

Build an in-memory cache in Memorystore, and deploy to the specific geographic regions where your application resides.

D.

Deploy a Bigtable instance with a cluster in one region and a replica cluster in another geographic region.

Get Free Professional-Cloud-Database-Engineer Questions and Answers