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Professional-Cloud-Database-Engineer Exam Dumps : Google Cloud Certified - Professional Cloud Database Engineer

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Google Cloud Certified - 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.

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Question 2

You need to redesign the architecture of an application that currently uses Cloud SQL for PostgreSQL. The users of the application complain about slow query response times. You want to enhance your application architecture to offer sub-millisecond query latency. What should you do?

Options:

A.

Configure Firestore, and modify your application to offload queries.

B.

Configure Bigtable, and modify your application to offload queries.

C.

Configure Cloud SQL for PostgreSQL read replicas to offload queries.

D.

Configure Memorystore, and modify your application to offload queries.

Question 3

You are designing a new gaming application that uses a highly transactional relational database to store player authentication and inventory data in Google Cloud. You want to launch the game in multiple regions. What should you do?

Options:

A.

Use Cloud Spanner to deploy the database.

B.

Use Bigtable with clusters in multiple regions to deploy the database

C.

Use BigQuery to deploy the database

D.

Use Cloud SQL with a regional read replica to deploy the database.