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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

Your company is launching a new globally distributed application with strict requirements for low latency, strong consistency, zero downtime, and high availability (HA). You need to configure a scalable database solution to support anticipated rapid growth and optimal application performance. What should you do?

Options:

A.

Create a Cloud SQL instance in HA mode with a cross-region read replica.

B.

Create an AlloyDB instance in HA mode with a cross-region read replica.

C.

Create a spanner instance across regions for optimal performance.

D.

Implement Bigtable with replication across multiple regions and configure to prioritize data accuracy.

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Question 2

You currently have a MySQL database running on Cloud SQL with a read replica in a different zone for non-mission critical analytics workloads. You want to enable high availability (HA) for the analytic workloads while keeping costs low. What should you do?

Options:

A.

Increase the size of the read replica Instance and enable MA.

B.

Enable HA on the current read replica.

C.

Create a new HA instance in the same zone db lie primary.

D.

Create a new MA Instance in a different region than the primary.

Question 3

You are designing a physician portal app in Node.js. This application will be used in hospitals and clinics that might have intermittent internet connectivity. If a connectivity failure occurs, the app should be able to query the cached data. You need to ensure that the application has scalability, strong consistency, and multi-region replication. What should you do?

Options:

A.

Use Firestore and ensure that the PersistenceEnabled option is set to true.

B.

Use Memorystore for Memcached.

C.

Use Pub/Sub to synchronize the changes from the application to Cloud Spanner.

D.

Use Table.read with the exactStaleness option to perform a read of rows in Cloud Spanner.