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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

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Question 1

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?

Options:

A.

Export the data from the existing instance, and import the data into a new instance with solid-state drives (SSDs).

B.

Edit the instance to change the storage type from HDD to SSD.

C.

Create a high availability (HA) failover instance with SSDs, and perform a failover to the new instance.

D.

Create a read replica of the instance with SSDs, and perform a failover to the new instance

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Question 2

You are managing two different applications: Order Management and Sales Reporting. Both applications interact with the same Cloud SQL for MySQL database. The Order Management application reads and writes to the database 24/7, but the Sales Reporting application is read-only. Both applications need the latest data. You need to ensure that the Performance of the Order Management application is not affected by the Sales Reporting application. What should you do?

Options:

A.

Create a read replica for the Sales Reporting application.

B.

Create two separate databases in the instance, and perform dual writes from the Order Management application.

C.

Use a Cloud SQL federated query for the Sales Reporting application.

D.

Queue up all the requested reports in PubSub, and execute the reports at night.

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.

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