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

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

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

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

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

Create a read replica of the database, provide the database IP address, username, and password to the analytics team, and grant read access to required tables to the team.

Create a read replica of the database, enable the cloudsql.iam_authentication flag on the replica, and grant read access to required tables to the analytics team.

Enable the cloudsql.iam_authentication flag on the primary database instance, and grant read access to required tables to the analytics team.

Provide the database IP address, username, and password of the primary database instance to the analytics, team, and grant read access to required tables to the team.

Use Cloud Scheduler to trigger a Cloud Function that will run a select * from table(s) query to call the cloudsql.instances.export API.

Use Cloud Scheduler to trigger a Cloud Function through Pub/Sub to call the cloudsql.instances.export API.

Use Cloud Composer to orchestrate an export by calling the cloudsql.instances.export API.

Use Cloud Composer to execute a select * from table(s) query and export results.