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

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 the Google Cloud Console or gcloud CLI to manually create a new clone database.

Use the Google Cloud Console or gcloud CLI to manually create a new failover replica from backup.

Verify that the new replica is created automatically.

Start the original primary instance and resume replication.

Create extracts from your on-premises databases periodically, and push these extracts to Cloud Storage.

Upload the changes into BigQuery, and merge them with existing tables.

Use Cloud Data Fusion and scheduled workflows to extract data from MySQL. Transform this data into the appropriate schema, and load this data into your BigQuery database.

Use Datastream to connect to your on-premises database and create a stream. Have Datastream write to Cloud Storage. Then use Dataflow to process the data into BigQuery.

Use Database Migration Service to replicate data to a Cloud SQL for MySQL instance. Create federated tables in BigQuery on top of the replicated instances to transform and load the data into your BigQuery database.