Most Recent Google Professional-Cloud-Database-Engineer Exam Dumps

Prepare for the Google Professional Cloud Database Engineer exam with our extensive collection of questions and answers. These practice Q&A are updated according to the latest syllabus, providing you with the tools needed to review and test your knowledge.

QA4Exam focus on the latest syllabus and exam objectives, our practice Q&A are designed to help you identify key topics and solidify your understanding. By focusing on the core curriculum, These Questions & Answers helps you cover all the essential topics, ensuring you're well-prepared for every section of the exam. Each question comes with a detailed explanation, offering valuable insights and helping you to learn from your mistakes. Whether you're looking to assess your progress or dive deeper into complex topics, our updated Q&A will provide the support you need to confidently approach the Google Professional-Cloud-Database-Engineer exam and achieve success.

The questions for Professional-Cloud-Database-Engineer were last updated on Apr 22, 2026.

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Question No. 1

You are choosing a new database backend for an existing application. The current database is running PostgreSQL on an on-premises VM and is managed by a database administrator and operations team. The application data is relational and has light traffic. You want to minimize costs and the migration effort for this application. What should you do?

AMigrate the existing database to Firestore.

BMigrate the existing database to Cloud SQL for PostgreSQL.

CMigrate the existing database to Cloud Spanner.

DMigrate the existing database to PostgreSQL running on Compute Engine.

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Correct Answer: B

You could migrate to Spanner leveraging the PostgreSQL dialect, but costs need to be minimized so that wouldn't be the cheapest option. Especially since the load doesn't justify Spanner. Again, you could migrate like-for-like to a GCE VM, but that defeats minimizing the migration effort. The cheapest and easiest way to migrate would be Database Migration Service to Cloud SQL for PostgreSQL.

Question No. 2

You are managing a Cloud SQL for MySQL environment in Google Cloud. You have deployed a primary instance in Zone A and a read replica instance in Zone B, both in the same region. You are notified that the replica instance in Zone B was unavailable for 10 minutes. You need to ensure that the read replica instance is still working. What should you do?

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

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

CVerify that the new replica is created automatically.

DStart the original primary instance and resume replication.

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Correct Answer: C

Recovery Process: Once Zone-B becomes available again, Cloud SQL will initiate the recovery process for the impacted read replica. The recovery process involves the following steps: 1. Synchronization: Cloud SQL will compare the data in the recovered read replica with the primary instance in Zone-A. If there is any data divergence due to the unavailability period, Cloud SQL will synchronize the read replica with the primary instance to ensure data consistency. 2. Catch-up Replication: The recovered read replica will start catching up on the changes that occurred on the primary instance during its unavailability. It will apply the necessary updates from the primary instance's binary logs (binlogs) to bring the replica up to date. 3. Resuming Read Traffic: Once the synchronization and catch-up replication processes are complete, the read replica in Zone-B will resume its normal operation. It will be able to serve read traffic and stay updated with subsequent changes from the primary instance.

Question No. 3

Your company is developing a 24/7. global, real-lime analytics platform that needs to store and process large amounts of versioned time-series dat

a. You need to

design a platform that Is highly scalable to accommodate traffic spikes and ensure high availability for mission-critical operations. What should you do?

AImplement a single-cluster Bigtable Instance with autoscaling enabled and row key design

BImplement a multi-cluster Bigtable Instance with autoscaling enabled and optimal schema design.

CImplement a multi-cluster Billable instance across multiple regions with replication.

Dimplement AlloyDB for PostgreSQL to handle the analytical workload using read replica

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Correct Answer: C

Question No. 4

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?

AUse Query Insights to identify idle instances.

BRemove inactive user accounts.

CRun the Recommender API to identify overprovisioned instances.

DBuild indexes on heavily accessed tables.

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Correct Answer: C

The Cloud SQL overprovisioned instance recommender helps you detect instances that are unnecessarily large for a given workload. It then provides recommendations on how to resize such instances and reduce cost. This page describes how this recommender works and how to use it. https://cloud.google.com/sql/docs/mysql/recommender-sql-overprovisioned#:~:text=The%20Cloud%20SQL%20overprovisioned%20instance%20recommender%20helps%20you%20detect%20instances%20that%20are%20unnecessarily%20large%20for%20a%20given%20workload.%20It%20then%20provides%20recommendations%20on%20how%20to%20resize%20such%20instances%20and%20reduce%20cost.%20This%20page%20describes%20how%20this%20recommender%20works%20and%20how%20to%20use%20it.

Question No. 5

You work for a financial services company that wants to use fully managed database services. Traffic volume for your consumer services products has increased annually at a constant rate with occasional spikes around holidays. You frequently need to upgrade the capacity of your database. You want to use Cloud Spanner and include an automated method to increase your hardware capacity to support a higher level of concurrency. What should you do?

AUse linear scaling to implement the Autoscaler-based architecture

BUse direct scaling to implement the Autoscaler-based architecture.

CUpgrade the Cloud Spanner instance on a periodic basis during the scheduled maintenance window.

DSet up alerts that are triggered when Cloud Spanner utilization metrics breach the threshold, and then schedule an upgrade during the scheduled maintenance window.

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Correct Answer: A

Linear scaling is best used with load patterns that change more gradually or have a few large peaks. The method calculates the minimum number of nodes or processing units required to keep utilization below the scaling threshold. The number of nodes or processing units added or removed in each scaling event is not limited to a fixed step amount. https://cloud.google.com/spanner/docs/autoscaling-overview#linear

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