Google Professional Cloud Database Engineer Exam Questions
Exam number/code:
Professional Cloud Database Engineer
Release/Update Date:
22 Apr, 2026
Available Number of Questions: Maximum of
141 Questions
Exam Name: Professional Cloud Database Engineer
Exam Duration: 240 Minutes
Related Certification(s):
Google Cloud Certified Certification
Google Professional Cloud Database Engineer Exam Topics - You’ll Be Tested in Actual Exam
The Google Professional-Cloud-Database-Engineer exam is a comprehensive assessment designed to evaluate your expertise in managing and optimizing cloud databases. It covers a wide range of topics, including designing and implementing scalable and highly available cloud database solutions, ensuring data security and compliance, and optimizing database performance. You'll delve into the intricacies of database migration, replication, and backup strategies, as well as explore advanced concepts like sharding and partitioning. The exam also assesses your knowledge of monitoring and troubleshooting cloud databases, with a focus on identifying and resolving performance bottlenecks. Additionally, you'll need to demonstrate an understanding of cloud-native database services and their unique features, as well as the ability to integrate databases with other cloud services. By mastering these topics, you'll be well-equipped to tackle the exam and showcase your skills in cloud database engineering.
Google Professional Cloud Database Engineer Exam Short Quiz
Attempt this Google Professional Cloud Database Engineer exam quiz to self-assess your preparation for the actual Google Professional Cloud Database Engineer exam. CertBoosters also provides premium Google Professional Cloud Database Engineer exam questions to pass the Google Professional Cloud Database Engineer exam in the shortest possible time. Be sure to try our free practice exam software for the Google Professional Cloud Database Engineer exam.
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Google Professional Cloud Database Engineer Exam Quiz
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GoogleProfessional Cloud Database Engineer
Q1:
Your company is migrating all legacy applications to Google Cloud. All on-premises applications are using legacy Oracle 12c databases with Oracle Real Application Cluster (RAC) for high availability (HA) and Oracle Data Guard for disaster recovery. You need a solution that requires minimal code changes, provides the same high availability you have today on-premises, and supports a low latency network for migrated legacy applications. What should you do?
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AMigrate the databases to Cloud Spanner.
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BMigrate the databases to Cloud SQL, and enable a standby database.
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CMigrate the databases to Compute Engine using regional persistent disks.
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DMigrate the databases to Bare Metal Solution for Oracle.
GoogleProfessional Cloud Database Engineer
Q2:
You have an application that sends banking events to Bigtable cluster-a in us-east. You decide to add cluster-b in us-central1. Cluster-a replicates data to cluster-b. You need to ensure that Bigtable continues to accept read and write requests if one of the clusters becomes unavailable and that requests are routed automatically to the other cluster. What deployment strategy should you use?
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AUse the default app profile with single-cluster routing.
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BUse the default app profile with multi-cluster routing.
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CCreate a custom app profile with multi-cluster routing.
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DCreate a custom app profile with single-cluster routing.
GoogleProfessional Cloud Database Engineer
Q3:
You want to migrate your on-premises PostgreSQL database to Compute Engine. You need to migrate this database with the minimum downtime possible. What should you do?
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APerform a full backup of your on-premises PostgreSQL, and then, in the migration window, perform an incremental backup.
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BCreate a read replica on Cloud SQL, and then promote it to a read/write standalone instance.
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CUse Database Migration Service to migrate your database.
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DCreate a hot standby on Compute Engine, and use PgBouncer to switch over the connections.
GoogleProfessional Cloud Database Engineer
Q4:
Your organization is running a critical production database on a virtual machine (VM) on Compute Engine. The VM has an ext4-formatted persistent disk for data files. The database will soon run out of storage space. You need to implement a solution that avoids downtime. What should you do?
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AIn the Google Cloud Console, increase the size of the persistent disk, and use the resize2fs command to extend the disk.
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BIn the Google Cloud Console, increase the size of the persistent disk, and use the fdisk command to verify that the new space is ready to use
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CIn the Google Cloud Console, create a snapshot of the persistent disk, restore the snapshot to a new larger disk, unmount the old disk, mount the new disk, and restart the database service.
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DIn the Google Cloud Console, create a new persistent disk attached to the VM, and configure the database service to move the files to the new disk.
GoogleProfessional Cloud Database Engineer
Q5:
Your organization has hundreds of Cloud SQL for MySQL instances. You want to follow Google-recommended practices to optimize platform costs. What should you do?
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AUse Query Insights to identify idle instances.
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BRemove inactive user accounts.
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CRun the Recommender API to identify overprovisioned instances.
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DBuild indexes on heavily accessed tables.
🎉 Google Professional Cloud Database Engineer Quiz Complete!
