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  • Exam Code: Professional-Cloud-Database-Engineer
  • Exam Name: Google Cloud Certified - Professional Cloud Database Engineer
  • Updated: Oct 19, 2026
  • Q & A: 220 Questions and Answers
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  • Exam Code: Professional-Cloud-Database-Engineer
  • Exam Name: Google Cloud Certified - Professional Cloud Database Engineer
  • Updated: Oct 19, 2026
  • Q & A: 220 Questions and Answers
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  • Exam Code: Professional-Cloud-Database-Engineer
  • Exam Name: Google Cloud Certified - Professional Cloud Database Engineer
  • Updated: Oct 19, 2026
  • Q & A: 220 Questions and Answers
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Google Professional-Cloud-Database-Engineer Exam Syllabus Topics:

TopicDetails
Topic 1
  • Plan and perform database migration, including fallback plans and schema conversion
  • Test high availability and disaster recovery strategies periodically
Topic 2
  • Evaluate performance and cost tradeoffs of different database configurations
  • Plan database upgrades for Google Cloud-managed databases
Topic 3
  • Distinguish between SQL and NoSQL business requirements
  • Evaluate tradeoffs between multi-region, region, and zonal database deployment strategies
Topic 4
  • Design for recovery time objective (RTO) and recovery point objective (RPO)
  • Assess slow running queries and database locking and identify missing indexes
Topic 5
  • Apply concepts to implement highly scalable and available databases in Google Cloud
  • Given a scenario, define maintenance windows and notifications based on application availability requirements
Topic 6
  • Differentiate between managed and unmanaged database services
  • Analyze the cost of running database solutions in Google Cloud
Topic 7
  • Manage database users, including authentication and access
  • Continuously assess and optimize the cost of running a database solution
Topic 8
  • Analyze relevant variables to perform database capacity and usage planning
  • Design scalable, highly available, and secure databases
Topic 9
  • Justify the use of session pooler services
  • Given a scenario, perform solution sizing based on current environment workload metrics and future requirements
Topic 10
  • Automate database instance provisioning
  • Determine how applications will connect to the database
Topic 11
  • Deploy scalable and highly available databases in Google Cloud
  • Determine database connectivity and access management considerations
Topic 12
  • Determine the correct database migration tools for a given scenario
  • Size database compute and storage based on performance requirements
Topic 13
  • Provision high availability database solutions in Google Cloud
  • Design scalable and highly available cloud database solutions

Reference: https://cloud.google.com/certification/cloud-database-engineer

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Google Cloud Certified - Professional Cloud Database Engineer Sample Questions:

Question #1

Your company is migrating their MySQL database to Cloud SQL and cannot afford any planned downtime during the month of December. The company is also concerned with cost, so you need the most cost-effective solution. What should you do?

  • A. Create a MySQL regional instance so that, if any downtime occurs, the standby instance will act as the primary instance during the month of December.
  • B. Create MySQL read replicas in different zones so that, if any downtime occurs, the read replicas will act as the primary instance during the month of December.
  • C. Open a support ticket in Google Cloud to prevent any maintenance in that MySQL instance during the month of December.
  • D. Use Cloud SQL maintenance settings to prevent any maintenance during the month of December.
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

Question #2

Which Google Cloud pairing offers a fully managed MongoDB service with live migration that supports continuous schema changes, data validation, rapid rollback, and cutover in under 20 minutes?

  • A. Cloud Dataflow with MongoDB connector and Firestore in Native mode
  • B. MongoDB Atlas Live Migration and MongoDB Atlas on Google Cloud
  • C. Database Migration Service and AlloyDB for PostgreSQL
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

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Question #3

You are designing a new ecommerce application on Google Cloud. You expect high and bursty write volumes during peak sales periods. You need to configure Spanner to ensure consistent database performance during this sales period. What should you do-

  • A. Configure read-only transactions to improve read performance during peak periods.
  • B. Use interleaved tables to reduce the number of cross-node transactions.
  • C. Enable autoscaling in the Spanner instance, and set the maximum number of nodes to match the peak write volume.
  • D. Implement sharding to distribute the write load across multiple Spanner instances.
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

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Question #4

You work in the logistics department. Your data analysis team needs daily extracts from Cloud SQL for MySQL to train a machine learning model. The model will be used to optimize next-day routes. You need to export the data in CSV format. You want to follow Google-recommended practices. What should you do?

  • A. Use Cloud Composer to execute a select * from table(s) query and export results.
  • B. Use Cloud Scheduler to trigger a Cloud Function that will run a select * from table(s) query to call the cloudsql.instances.export API.
  • C. Use Cloud Scheduler to trigger a Cloud Function through Pub/Sub to call the cloudsql.instances.export API.
  • D. Use Cloud Composer to orchestrate an export by calling the cloudsql.instances.export API.
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

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Question #5

Your organization deployed a new version of a critical application that uses Cloud SQL for MySQL with high availability (HA) and binary logging enabled to store transactional information.
The latest release of the application had an error that caused massive data corruption in your Cloud SQL for MySQL database. You need to minimize data loss. What should you do?

  • A. Fail over to the Cloud SQL for MySQL HA instance. Use that instance to recover the transactions that occurred before the corruption.
  • B. Reload the Cloud SQL for MySQL database using the LOAD DATA command to load data from CSV files that were used to initialize the instance.
  • C. Perform a point-in-time recovery of your Cloud SQL for MySQL database, selecting a date and time before the data was corrupted.
  • D. Open the Google Cloud Console, navigate to SQL > Backups, and select the last version of the automated backup before the corruption.
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

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