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Google Professional Cloud Database Engineer Exam Questions

Exam Name: Google Professional Cloud Database Engineer Exam
Exam Code: Professional Cloud Database Engineer
Related Certification(s): Google Cloud Certified Certification
Certification Provider: Google
Actual Exam Duration: 240 Minutes
Number of Professional Cloud Database Engineer practice questions in our database: 141 (updated: Aug. 28, 2026)
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Elizabeth Thomas

10 days ago
I just cleared the Google Professional Cloud Database Engineer exam, and the design questions were trickier than expected because they mix availability, scaling, and cost tradeoffs in one scenario. What helped most was practicing architecture decisions across Spanner, Cloud SQL, and Bigtable instead of memorizing features.
upvoted 0 times
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Michael Robinson

15 days ago
Replication and failover strategies were drilled repeatedly, with scenario questions asking you to choose between cross-region primary-secondary replication or multi-primary setups based on RTO, RPO, and consistency needs. Study replication modes, failover automation, and recovery testing I passed the exam and thanks Pass4Success for providing good collection of exam questions for preparation in short time.
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Free Google Professional Cloud Database Engineer Exam Actual Questions

Note: Premium Questions for Professional Cloud Database Engineer were last updated On Aug. 28, 2026 (see below)

Question #1

Your ecommerce website captures user clickstream data to analyze customer traffic patterns in real time and support personalization features on your website. You plan to analyze this data using big data tools. You need a low-latency solution that can store 8 TB of data and can scale to millions of read and write requests per second. What should you do?

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Correct Answer: A

Start with the lowest tier and smallest size and then grow your instance as needed. Memorystore provides automated scaling using APIs, and optimized node placement across zones for redundancy. Memorystore for Memcached can support clusters as large as 5 TB, enabling millions of QPS at very low latency


Question #2

Your organization operates in a highly regulated industry. Separation of concerns (SoC) and security principle of least privilege (PoLP) are critical. The operations team consists of:

Person A is a database administrator.

Person B is an analyst who generates metric reports.

Application C is responsible for automatic backups.

You need to assign roles to team members for Cloud Spanner. Which roles should you assign?

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Correct Answer: A

https://cloud.google.com/spanner/docs/iam#spanner.backupWriter


Question #3

You are setting up a Bare Metal Solution environment. You need to update the operating system to the latest version. You need to connect the Bare Metal Solution environment to the internet so you can receive software updates. What should you do?

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Correct Answer: C

https://cloud.google.com/bare-metal/docs/bms-setup?hl=en#bms-access-internet-vm-nat The docs specifically says 'Setting up a NAT gateway on a Compute Engine VM' is the way to give BMS internet access.


Question #4

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?

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Correct Answer: A

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

You are building a data warehouse on BigQuery. Sources of data include several MySQL databases located on-premises.

You need to transfer data from these databases into BigQuery for analytics. You want to use a managed solution that has low latency and is easy to set up. What should you do?

A. Create extracts from your on-premises databases periodically, and push these extracts to Cloud Storage. Upload the changes into BigQuery, and merge them with existing tables.

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Correct Answer: C


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