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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 application uses Cloud SQL for MySQL. Your users run reports on data that relies on near-real time; however, the additional analytics caused excessive load on the primary database. You created a read replica for the analytics workloads, but now your users are complaining about the lag in data changes and that their reports are still slow.You need to improve the report performance and shorten the lag in data replication without making changes to the current reports. Which two approaches should you implement? (Choose two.)

Options:

A.

Create secondary indexes on the replica.

B.

Create additional read replicas, and partition your analytics users to use different read replicas.

C.

Disable replication on the read replica, and set the flag for parallel replication on the read replica. Re-enable replication and optimize performance by setting flags on the primary instance.

D.

Disable replication on the primary instance, and set the flag for parallel replication on the primary instance. Re-enable replication and optimize performance by setting flags on the read replica.

E.

Move your analytics workloads to BigQuery, and set up a streaming pipeline to move data and update BigQuery.

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Question 2

Your DevOps team is using Terraform to deploy applications and Cloud SQL databases. After every new application change is rolled out, the environment is torn down and recreated, and the persistent database layer is lost. You need to prevent the database from being dropped. What should you do?

Options:

A.

Set Terraform deletion_protection to true.

B.

Rerun terraform apply.

C.

Create a read replica.

D.

Use point-in-time-recovery (PITR) to recover the database.

Question 3

Your customer is running a MySQL database on-premises with read replicas. The nightly incremental backups are expensive and add maintenance overhead. You want to follow Google-recommended practices to migrate the database to Google Cloud, and you need to ensure minimal downtime. What should you do?

Options:

A.

Create a Google Kubernetes Engine (GKE) cluster, install MySQL on the cluster, and then import the dump file.

B.

Use the mysqldump utility to take a backup of the existing on-premises database, and then import it into Cloud SQL.

C.

Create a Compute Engine VM, install MySQL on the VM, and then import the dump file.

D.

Create an external replica, and use Cloud SQL to synchronize the data to the replica.