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Professional Cloud Database Engineer (Cloud Database Engineer Exam) - Google Cloud Exam Questions

Last updated on June 20, 2026

97% Exam Compliance
141 Total Questions
1
Question
You manage a production MySQL database running on Cloud SQL at a retail company. You perform routine maintenance on Sunday at midnight when traffic is slow, but you want to skip routine maintenance during the year-end holiday shopping season. You need to ensure that your production system is available 24/7 during the holidays. What should you do?
Options
A Define a maintenance window on Sundays between 12 AM and 5 AM, and deny maintenance periods between November 1 and February 15.
B Build a Cloud Composer job to start a maintenance window on Sundays between 12 AM and 1AM,
and deny maintenance periods between November 1 and January 15.
C Define a maintenance window on Sundays between 12 AM and 1 AM, and deny maintenance periods between November 1 and January 15.
D Create a Cloud Scheduler job to start maintenance at 12 AM on Sundays. Pause the Cloud Scheduler job between November 1 and January 15.
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2
Question
You need to migrate existing databases from Microsoft SQL Server 2016 Standard Edition on a single Windows Server 2019 Datacenter Edition to a single Cloud SQL for SQL Server instance. During the
discovery phase of your project, you notice that your on-premises server peaks at around 25,000
read IOPS. You need to ensure that your Cloud SQL instance is sized appropriately to maximize read performance. What should you do?
Options
A Create a SQL Server 2019 Standard on High Memory machine type with at least 16 vCPUs, 104 GB of RAM, and 200 GB of SSD.
B Create a SQL Server 2019 Standard on High Memory machine type with 16 vCPUs, 104 GB of RAM,
and 4 TB of SSD.
C Create a SQL Server 2019 Standard on Standard machine type with 4 vCPUs, 15 GB of RAM, and 800 GB of solid-state drive (SSD).
D Create a SQL Server 2019 Enterprise on High Memory machine type with 16 vCPUs, 104 GB of RAM, and 500 GB of SSD.
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3
Question
Your organization needs to migrate a critical, on-premises MySQL database to Cloud SQL for MySQL. The on-premises database is on a version of MySQL that is supported by Cloud SQL and uses the InnoDB storage engine. You need to migrate the database while preserving transactions and minimizing downtime. What should you do? A. Use Database Migration Service to connect to your on-premises database, and choose continuous replication. After the on-premises database is migrated, promote the Cloud SQL for MySQL instance, and connect applications to your Cloud SQL instance. B. Build a Cloud Data Fusion pipeline for each table to migrate data from the on-premises MySQL database to Cloud SQL for MySQL. Schedule downtime to run each Cloud Data Fusion pipeline. Verify that the migration was successful. Re-point the applications to the Cloud SQL for MySQL instance. C. Pause the on-premises applications. Use the mysqldump utility to dump the database content in compressed format. Run gsutil –m to move the dump file to Cloud Storage. Use the Cloud SQL for MySQL import option. After the import operation is complete, re-point the applications to the Cloud SQL for MySQL instance. D. Pause the on-premises applications. Use the mysqldump utility to dump the database content in CSV format. Run gsutil –m to move the dump file to Cloud Storage. Use the Cloud SQL for MySQL import option. After the import operation is complete, re-point the applications to the Cloud SQL for MySQL instance.
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4
Question
You are deploying a Cloud SOL for MySQL database to serve a non-critical application. The database size is 10 GB and will be updated every night with data stored in a Cloud Storage bucket. The database serves read-only traffic from the application during the day. The data locally requirement of This application mandates that data must reside in a single region. You want to minimize the cost of running this database while maintaining an RTO of 1 day. What should you do?
Options
A Create a Cloud SQL for MySQL instance with high availability (HA) disabled. Create a read replica in the same zone.
B Create a Cloud SQL for MySQL instance with high availability (HA) disabled. Configure automated backups of the Cloud SQL instance and use a custom backup location to store backups in a Cloud Storage bucket in the same region.
C Create a Cloud SQL for MySQL instance with high availability (HA) enabled. Configure automated backups of the Cloud SQL instance and use the default backup location.
D Create a Cloud SQL for MySQL instance with high availability (HA) disabled. Create a read replica in a second region.
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5
Question
Your application follows a microservices architecture and uses a single large Cloud SQL instance,

which is starting to have performance issues as your application grows. in the Cloud Monitoring dashboard, the CPU utilization looks normal You want to follow Google-recommended practices to resolve and prevent these performance issues while avoiding any major refactoring. What should you do?
Options
A Increase the number of CPUs for your instance.
B Increase the storage size for the instance.
C Use Cloud Spanner instead of Cloud SQL.
D Use many smaller Cloud SQL instances.
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