Exam Name: Google Cloud Certified - Professional Cloud Database Engineer
Certification Provider: Google
Corresponding Certification: Google Cloud Certified
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Updated: Sep 15, 2026
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Google Professional-Cloud-Database-Engineer Exam Overview:
| Certification Vendor: | Google Cloud |
|---|---|
| Exam Name: | Professional Cloud Database Engineer Exam |
| Exam Number: | Professional-Cloud-Database-Engineer |
| Exam Format: | Multiple select, Multiple choice |
| Exam Duration: | 120 minutes |
| Available Languages: | English, Japanese |
| Exam Price: | $200 USD (plus tax where applicable) |
| Certificate Validity Period: | 2 years |
| Related Certifications: | Google Cloud Certified - Professional Data Engineer Google Cloud Certified - Professional Cloud Architect |
| Passing Score: | Not publicly disclosed |
| Real Exam Qty: | 50-60 |
| Recommended Training: | Google Cloud Professional Cloud Database Engineer Learning Path |
| Exam Registration: | Google Cloud Certification Registration |
| Sample Questions: | DOWNLOAD DEMO |
| Exam Way: | Online proctored (remote) or onsite proctored (testing center) |
| Pre Condition: | No mandatory prerequisites; recommended: 5+ years of overall database and IT experience, including 2 years of hands-on experience with Google Cloud database solutions |
| Official Syllabus URL: | https://cloud.google.com/learn/certification/cloud-database-engineer |
Google Professional-Cloud-Database-Engineer Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Manage a solution that spans multiple database technologies | 25% | - Determine connectivity and access management
|
| Topic 2: Migrate data solutions | 14% | - Design migration strategies
|
| Topic 3: Design innovative, scalable, and highly available cloud database solutions | 32% | - Design for high availability and reliability
|
| Topic 4: Deploy scalable and highly available databases in Google Cloud | 20% | - Implement high availability solutions
|
Google Cloud Certified - Professional Cloud Database Engineer: Frequently Asked Questions
The Professional-Cloud-Database-Engineer exam leads to the Google Cloud Certified - Professional Cloud Database Engineer certification from Google Cloud. It is positioned at the Professional level. The exam validates the knowledge and skills expected of candidates preparing for Google Cloud Certified - Professional Cloud Database Engineer.
Related certifications include:
- Google Cloud Certified - Professional Cloud Architect
- Google Cloud Certified - Professional Data Engineer
The Professional-Cloud-Database-Engineer exam includes 50-60 questions and allows 120 minutes. Before test day, divide the available time by the number of questions in a timed practice set to establish a steady per-question pace. If a difficult item starts consuming too much time, mark it for review and move forward instead of losing momentum. A full timed practice session can help you decide when to move on, when to return, and how much buffer to reserve for a final check.
The passing score for Professional-Cloud-Database-Engineer is Not publicly disclosed, and the official exam fee is $200 USD (plus tax where applicable). Because a retake requires paying the exam fee again, use timed practice results as a readiness check before scheduling your next attempt. If your performance remains inconsistent, continue reviewing weak domains and repeat a timed session before booking the exam.
No mandatory prerequisites; recommended: 5+ years of overall database and IT experience, including 2 years of hands-on experience with Google Cloud database solutions
Eligibility rules can change, so confirm the current requirements on the official exam page before registering.
You can register through the official channels listed below:
The available exam delivery method is Online proctored (remote) or onsite proctored (testing center).
The official training options include:
After reviewing the recommended training, reinforce what you learned with Actual4dump's 220 practice questions for Professional-Cloud-Database-Engineer.
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If you purchase the corresponding Professional-Cloud-Database-Engineer preparation material and do not pass that exam within 60 days of purchase, you may apply for a full refund under the 100% Money Back Guarantee. The request requires a scanned exam enrollment slip and the official Score Report PDF, submitted within two days after the exam. Eligible requests are processed within seven days.
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The current Professional-Cloud-Database-Engineer outline is organized into 4 top-level domains. The first listed areas include:
- Migrate data solutions (14%)
- Manage a solution that spans multiple database technologies (25%)
- Deploy scalable and highly available databases in Google Cloud (20%)
Review the Exam Topics section above for the complete outline and any nested subtopics.
Google Cloud Certified - Professional Cloud Database Engineer Sample Questions:
Your organization stores marketing data such as customer preferences and purchase history on Bigtable. The consumers of this database are predominantly data analysts and operations users.
You receive a service ticket from the database operations department citing poor database performance between 9 AM-10 AM every day. The application team has confirmed no latency from their logs. A new cohort of pilot users that is testing a dataset loaded from a third-party data provider is experiencing poor database performance. Other users are not affected. You need to troubleshoot the issue. What should you do?
- A. Isolate the data analysts and operations user groups to use different Bigtable instances.
- B. Check the Cloud Monitoring table/bytes_used metric from Bigtable.
- C. Use Key Visualizer for Bigtable.
- D. Add more nodes to the Bigtable cluster.
Correct Answer: C 🗳️
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Your company is rapidly expanding its user base across North America, nearly doubling in the last 6-months. This expansion causes a substantial increase in query volume on your mission- critical Cloud SQL database. This has led to noticeable performance issues and slower query response times. You suspect that your Cloud SQL instance may not be able to handle the incremental load. You need to identify the root cause of this performance bottleneck and ensure that your database can scale with your growing user base. What should you do-
- A. Create two Cloud SQL instances, and split the workload between them.
- B. Review Cloud SQL System Insights for the instance, and analyze CPU, memory, and storage utilization metrics.
- C. Migrate the database to Spanner.
- D. Evaluate the application connection pooling configuration settings.
Correct Answer: B 🗳️
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You are migrating an on-premises database to Spanner. There are a few tables, each with a few hundred records that do not have a primary key on the source database. You need to migrate all of the tables over to the news database while avoiding hot-spotting issues. What should you do-
- A. Use the GENERATE_UUID()function to generate universally unique identifier (UUID) values with the STRING(36)data type when you do the migration.
- B. During the migration, swap the order of keys so that the column that contains the monotonically increasing or decreasing value is the first key par.
- C. Load the data into Spanner, and designate a primary key later based on business need.
- D. Migrate the tables with no primary key to maintain consistency with source.
Correct Answer: A 🗳️
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Your company's rapidly growing ecommerce application uses Cloud SQL for MySQL.
Performance issues are surfacing during peak traffic periods. You need to ensure that the database can handle the load while minimizing downtime. What should you do-
- A. Use read replicas for query offloading, configure automatic failover, and test failover procedures regularly.
- B. Increase storage size on the existing instance and implement client-side caching for frequently accessed data.
- C. Migrate to a Cloud SQL for PostgreSQL database for better performance during high load.
- D. Vertically scale the primary instance by significantly increasing compute resources, such as vCPUs and memory.
Correct Answer: A 🗳️
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Your company uses Bigtable for a user-facing application that displays a low-latency real-time dashboard. You need to recommend the optimal storage type for this read-intensive database.
What should you do?
- A. Recommend solid-state drives (SSD).
- B. Recommend hard disk drives (HDD).
- C. Recommend splitting the Bigtable instance into two instances in order to load balance the concurrent reads.
- D. Recommend mixed storage types.
Correct Answer: A 🗳️
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