Professional-Cloud-Database-Engineer Exam Dumps : Google Cloud Certified - Professional Cloud Database Engineer

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.

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

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

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

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

Set up manual backups.

Create a PostgreSQL database on-premises as the HA option.

Configure single zone availability for automated backups.

Enable point-in-time recovery.

Schedule automated backups.