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Reference: https://cloud.google.com/certification/cloud-database-engineer
Google Cloud Certified - Professional Cloud Database Engineer Sample Questions:
You support a consumer inventory application that runs on a multi-region instance of Cloud Spanner. A customer opened a support ticket to complain about slow response times. You notice a Cloud Monitoring alert about high CPU utilization. You want to follow Google-recommended practices to address the CPU performance issue. What should you do first?
- A. Shard data required by the application into multiple instances.
- B. Modify the database schema, and add additional indexes.
- C. Decrease the number of processing units.
- D. Increase the number of processing units.
Correct Answer: D 🗳️
You want to migrate an existing on-premises application to Google Cloud. Your application supports semi-structured data ingested from 100,000 sensors, and each sensor sends 10 readings per second from manufacturing plants. You need to make this data available for real- time monitoring and analysis. What should you do-
- A. Use BigQuery, and load data in batches.
- B. Deploy the database using Bigtable.
- C. Deploy the database using Cloud Spanner.
- D. Deploy the database using Cloud SQL.
Correct Answer: B 🗳️
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During an internal audit, you realized that one of your Cloud SQL for MySQL instances does not have high availability (HA) enabled. You want to follow Google-recommended practices to enable HA on your existing instance. What should you do?
- A. Shut down your existing Cloud SQL for MySQL instance, and enable HA.
- B. Create a new Cloud SQL for MySQL instance, enable HA, and use Cloud Data Fusion to migrate your data.
- C. Use the gcloud instances patch command to update your existing Cloud SQL for MySQL instance.
- D. Create a new Cloud SQL for MySQL instance, enable HA, and use the export and import option to migrate your data.
Correct Answer: C 🗳️
Riverton Analytics runs Microsoft SQL Server on premises with two read-only replicas, and the nightly differential backups for 28 databases have become expensive and difficult to manage.
They plan to move to Google Cloud following recommended practices and they must keep the cutover window under 20 minutes with minimal disruption. What should you do?
- A. Create a Compute Engine VM, install SQL Server, and import the backup file
- B. Take a native SQL Server backup to Cloud Storage and restore it into a new Cloud SQL for SQL Server instance
- C. Create a Google Kubernetes Engine cluster, deploy SQL Server, and restore the backup file
- D. Configure Cloud SQL for SQL Server as a subscriber to the on premises publisher and replicate continuously until you cut over
Correct Answer: D 🗳️
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You are migrating an on-premises application to Compute Engine and Cloud SQL. The application VMs will live in their own project, separate from the Cloud SQL instances which have their own project. What should you do to configure the networks?
- A. Place both the application VMs and the Cloud SQL instances in the default network of each project.
- B. Create a Shared VPC that both the application VMs and Cloud SQL instances will use.
- C. Use the default networks, and leverage Cloud VPN to connect the two together.
- D. Create a new VPC network in each project, and use VPC Network Peering to connect the two together.
Correct Answer: B 🗳️
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