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The Google Cloud Certified - Professional Cloud Database Engineer (Professional-Cloud-Database-Engineer)

Passing Google Cloud Database Engineer exam ensures for the successful candidate a powerful array of professional and personal benefits. The first and the foremost benefit comes with a global recognition that validates your knowledge and skills, making possible your entry into any organization of your choice.

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Professional-Cloud-Database-Engineer Exam Dumps
  • Exam Code: Professional-Cloud-Database-Engineer
  • Vendor: Google
  • Certifications: Cloud Database Engineer
  • Exam Name: Google Cloud Certified - Professional Cloud Database Engineer
  • Updated: May 9, 2026 Free Updates: 90 days Total Questions: 141 Try Free Demo

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Google Professional-Cloud-Database-Engineer Exam Domains Q&A

Certified instructors verify every question for 100% accuracy, providing detailed, step-by-step explanations for each.

Question 1 Google Professional-Cloud-Database-Engineer
QUESTION DESCRIPTION:

You are managing a small Cloud SQL instance for developers to do testing. The instance is not critical and has a recovery point objective (RPO) of several days. You want to minimize ongoing costs for this instance. What should you do?

  • A.

    Take no backups, and turn off transaction log retention.

  • B.

    Take one manual backup per day, and turn off transaction log retention.

  • C.

    Turn on automated backup, and turn off transaction log retention.

  • D.

    Turn on automated backup, and turn on transaction log retention.

Correct Answer & Rationale:

Answer: C

Explanation:

https://cloud.google.com/sql/docs/mysql/backup-recovery/backups

Question 2 Google Professional-Cloud-Database-Engineer
QUESTION DESCRIPTION:

Your team uses thousands of connected IoT devices to collect device maintenance data for your oil and gas customers in real time. You want to design inspection routines, device repair, and replacement schedules based on insights gathered from the data produced by these devices. You need a managed solution that is highly scalable, supports a multi-cloud strategy, and offers low latency for these IoT devices. What should you do?

  • A.

    Use Firestore with Looker.

  • B.

    Use Cloud Spanner with Data Studio.

  • C.

    Use MongoD8 Atlas with Charts.

  • D.

    Use Bigtable with Looker.

Correct Answer & Rationale:

Answer: C

Explanation:

This scenario has BigTable written all over it - large amounts of data from many devices to be analysed in realtime. I would even argue it could qualify as a multicloud solution, given the links to HBASE. BUT it does not support SQL queries and is not therefore compatible (on its own) with Looker. Firestore + Looker has the same problem. Spanner + Data Studio is at least a compatible pairing, but I agree with others that it doesn't fit this use-case - not least because it's Google-native. By contrast, MongoDB Atlas is a managed solution (just not by Google) which is compatible with the proposed reporting tool (Mongo's own Charts), it's specifically designed for this type of solution and of course it can run on any cloud.

Question 3 Google Professional-Cloud-Database-Engineer
QUESTION DESCRIPTION:

You need to redesign the architecture of an application that currently uses Cloud SQL for PostgreSQL. The users of the application complain about slow query response times. You want to enhance your application architecture to offer sub-millisecond query latency. What should you do?

  • A.

    Configure Firestore, and modify your application to offload queries.

  • B.

    Configure Bigtable, and modify your application to offload queries.

  • C.

    Configure Cloud SQL for PostgreSQL read replicas to offload queries.

  • D.

    Configure Memorystore, and modify your application to offload queries.

Correct Answer & Rationale:

Answer: D

Explanation:

"sub-millisecond latency" always involves Memorystore. Furthermore, as we are talking about a relational DB (Cloud SQL), BigTable is not a solution to be considered.

Question 4 Google Professional-Cloud-Database-Engineer
QUESTION DESCRIPTION:

You are migrating your data center to Google Cloud. You plan to migrate your applications to Compute Engine and your Oracle databases to Bare Metal Solution for Oracle. You must ensure that the applications in different projects can communicate securely and efficiently with the Oracle databases. What should you do?

  • A.

    Set up a Shared VPC, configure multiple service projects, and create firewall rules.

  • B.

    Set up Serverless VPC Access.

  • C.

    Set up Private Service Connect.

  • D.

    Set up Traffic Director.

Correct Answer & Rationale:

Answer: A

Explanation:

https://medium.com/google-cloud/shared-vpc-in-google-cloud-64527e0a409e#:~:text=Unlike%20VPC%20peering%2C%20Shared%20VPC%20connects%20projects%20within%20the%20same%20organization. & text=There%20are%20a%20lot%20of,between%20VPCs%20in%20different%20projects .

Question 5 Google Professional-Cloud-Database-Engineer
QUESTION DESCRIPTION:

Your organization is running a MySQL workload in Cloud SQL. Suddenly you see a degradation in database performance. You need to identify the root cause of the performance degradation. What should you do?

  • A.

    Use Logs Explorer to analyze log data.

  • B.

    Use Cloud Monitoring to monitor CPU, memory, and storage utilization metrics.

  • C.

    Use Error Reporting to count, analyze, and aggregate the data.

  • D.

    Use Cloud Debugger to inspect the state of an application.

Correct Answer & Rationale:

Answer: B

Explanation:

https://cloud.google.com/sql/docs/mysql/diagnose-issues#:~:text=If%20your%20instance%20stops%20responding%20to%20connections%20or%20performance%20is%20degraded%2C%20make%20sure%20it%20conforms%20to%20the%20Operational%20Guidelines

Question 6 Google Professional-Cloud-Database-Engineer
QUESTION DESCRIPTION:

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.

    Increase the number of processing units.

  • B.

    Modify the database schema, and add additional indexes.

  • C.

    Shard data required by the application into multiple instances.

  • D.

    Decrease the number of processing units.

Correct Answer & Rationale:

Answer: A

Explanation:

In case of high CPU utilization like, mentioned in question, refer: https://cloud.google.com/spanner/docs/identify-latency-point#:~:text=Check%20the%20CPU%20utilization%20of%20the%20instance.%20If%20the%20CPU%20utilization%20of%20the%20instance%20is%20above%20the%20recommended%20level%2C%20you%20should%20manually%20add%20more%20nodes%2C%20or%20set%20up%20auto%20scaling. "Check the CPU utilization of the instance. If the CPU utilization of the instance is above the recommended level, you should manually add more nodes, or set up auto scaling." Indexes and schema are reviewed post identifying query with slow performance. Refer : https://cloud.google.com/spanner/docs/troubleshooting-performance-regressions#review-schema

Question 7 Google Professional-Cloud-Database-Engineer
QUESTION DESCRIPTION:

Your team is building a new inventory management application that will require read and write database instances in multiple Google Cloud regions around the globe. Your database solution requires 99.99% availability and global transactional consistency. You need a fully managed backend relational database to store inventory changes. What should you do?

  • A.

    Use Bigtable.

  • B.

    Use Firestore.

  • C.

    Use Cloud SQL for MySQL

  • D.

    Use Cloud Spanner.

Correct Answer & Rationale:

Answer: D

Explanation:

Spanner covers the SLA

Question 8 Google Professional-Cloud-Database-Engineer
QUESTION DESCRIPTION:

You are the DBA of an online tutoring application that runs on a Cloud SQL for PostgreSQL database. You are testing the implementation of the cross-regional failover configuration. The database in region R1 fails over successfully to region R2, and the database becomes available for the application to process data. During testing, certain scenarios of the application work as expected in region R2, but a few scenarios fail with database errors. The application-related database queries, when executed in isolation from Cloud SQL for PostgreSQL in region R2, work as expected. The application performs completely as expected when the database fails back to region R1. You need to identify the cause of the database errors in region R2. What should you do?

  • A.

    Determine whether the versions of Cloud SQL for PostgreSQL in regions R1 and R2 are different.

  • B.

    Determine whether the database patches of Cloud SQI for PostgreSQL in regions R1 and R2 are different.

  • C.

    Determine whether the failover of Cloud SQL for PostgreSQL from region R1 to region R2 is in progress or has completed successfully.

  • D.

    Determine whether Cloud SQL for PostgreSQL in region R2 is a near-real-time copy of region R1 but not an exact copy.

Correct Answer & Rationale:

Answer: D

Explanation:

Verify that the replica has processed all the transactions it has received from the primary. This ensures that when promoted, the replica reflects all transactions that were received before the primary became unavailable. https://cloud.google.com/sql/docs/postgres/replication/cross-region-replicas#verify_failover_criteria

Question 9 Google Professional-Cloud-Database-Engineer
QUESTION DESCRIPTION:

Your retail organization is preparing for the holiday season. Use of catalog services is increasing, and your DevOps team is supporting the Cloud SQL databases that power a microservices-based application. The DevOps team has added instrumentation through Sqlcommenter. You need to identify the root cause of why certain microservice calls are failing. What should you do?

  • A.

    Watch Query Insights for long running queries.

  • B.

    Watch the Cloud SQL instance monitor for CPU utilization metrics.

  • C.

    Watch the Cloud SQL recommenders for overprovisioned instances.

  • D.

    Watch Cloud Trace for application requests that are failing.

Correct Answer & Rationale:

Answer: A

Explanation:

Cloud Trace doesn’t support Cloud SQL. Eliminate D. Cloud SQL recommenders for overprovisioned instances would tell you about Cloud SQL instances which are too large for their workload. Eliminate C. Monitoring CPU utilization wouldn’t tell you why microservice calls are failing. Eliminate B. SQLcommenter integrates with Query Insights. So A is the best answer. https://cloud.google.com/blog/topics/developers-practitioners/introducing-sqlcommenter-open-source-orm-auto-instrumentation-library

Question 10 Google Professional-Cloud-Database-Engineer
QUESTION DESCRIPTION:

You use Python scripts to generate weekly SQL reports to assess the state of your databases and determine whether you need to reorganize tables or run statistics. You want to automate this report but need to minimize operational costs and overhead. What should you do?

  • A.

    Create a VM in Compute Engine, and run a cron job.

  • B.

    Create a Cloud Composer instance, and create a directed acyclic graph (DAG).

  • C.

    Create a Cloud Function, and call the Cloud Function using Cloud Scheduler.

  • D.

    Create a Cloud Function, and call the Cloud Function from a Cloud Tasks queue.

Correct Answer & Rationale:

Answer: C

Explanation:

Cloud Scheduler triggers actions at regular fixed intervals, whereas Cloud Tasks triggers actions based on how the individual task object is configured. Reference: https://cloud.google.com/tasks/docs/comp-tasks-sched

Google Professional-Cloud-Database-Engineer verified by Gene Whitlock
Verified by Certified Instructors

This Google Professional-Cloud-Database-Engineer study pack was audited and verified on May 10, 2026 by Gene Whitlock,. We ensure every technical rationale aligns with real-world enterprise standards.

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Google Professional-Cloud-Database-Engineer Cloud Database Engineer FAQ

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There are only a formal set of prerequisites to take the Professional-Cloud-Database-Engineer Google exam. It depends of the Google organization to introduce changes in the basic eligibility criteria to take the exam. Generally, your thorough theoretical knowledge and hands-on practice of the syllabus topics make you eligible to opt for the exam.

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How many questions are on the Cloud Database Engineer Professional-Cloud-Database-Engineer exam?

The Professional-Cloud-Database-Engineer Google exam usually comprises 100 to 120 questions. However, the number of questions may vary. The reason is the format of the exam that may include unscored and experimental questions sometimes. Mostly, the actual exam consists of various question formats, including multiple-choice, simulations, and drag-and-drop.

How long does it take to study for the Cloud Database Engineer Certification exam?

It actually depends on one's personal keenness and absorption level. However, usually people take three to six weeks to thoroughly complete the Google Professional-Cloud-Database-Engineer exam prep subject to their prior experience and the engagement with study. The prime factor is the observation of consistency in studies and this factor may reduce the total time duration.

Is the Professional-Cloud-Database-Engineer Cloud Database Engineer exam changing in 2026?

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