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Google Professional Cloud Database Engineer Exam Questions
- Topic 1: Evaluate performance and cost tradeoffs of different database configurations/ Plan database upgrades for Google Cloud-managed databases
- Topic 2: Provision high availability database solutions in Google Cloud/ Design scalable and highly available cloud database solutions
- Topic 3: Determine the correct database migration tools for a given scenario/ Size database compute and storage based on performance requirements
- Topic 4: Plan and perform database migration, including fallback plans and schema conversion/ Test high availability and disaster recovery strategies periodically
- Topic 5: Distinguish between SQL and NoSQL business requirements/ Evaluate tradeoffs between multi-region, region, and zonal database deployment strategies
- Topic 6: 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 7: Analyze relevant variables to perform database capacity and usage planning/ Design scalable, highly available, and secure databases
- Topic 8: Differentiate between managed and unmanaged database services/ Analyze the cost of running database solutions in Google Cloud
- Topic 9: Reverse replication from Google Cloud to source/ Evaluate appropriate database solutions on Google Cloud
- Topic 10: Manage database users, including authentication and access/ Continuously assess and optimize the cost of running a database solution
- Topic 11: Design for recovery time objective (RTO) and recovery point objective (RPO)/ Assess slow running queries and database locking and identify missing indexes
- Topic 12: Deploy scalable and highly available databases in Google Cloud/ Determine database connectivity and access management considerations
- Topic 13: Automate database instance provisioning/ Determine how applications will connect to the database
- Topic 14: Justify the use of session pooler services/ Given a scenario, perform solution sizing based on current environment workload metrics and future requirements
Free Google Professional Cloud Database Engineer Exam Actual Questions
Note: Premium Questions for Professional Cloud Database Engineer were last updated On Nov. 14, 2025 (see below)
You are deploying a new Cloud SQL instance on Google Cloud using the Cloud SQL Auth proxy. You have identified snippets of application code that need to access the new Cloud SQL instance. The snippets reside and execute on an application server running on a Compute Engine machine. You want to follow Google-recommended practices to set up Identity and Access Management (IAM) as quickly and securely as possible. What should you do?
https://cloud.google.com/sql/docs/mysql/sql-proxy#using-a-service-account
You have a large Cloud SQL for PostgreSQL instance. The database instance is not mission-critical, and you want to minimize operational costs. What should you do to lower the cost of backups in this environment?
By default, for each instance, Cloud SQL retains seven automated backups, in addition to on-demand backups. You can configure how many automated backups to retain (from 1 to 365). We charge a lower rate for backup storage than for other types of instances. https://cloud.google.com/sql/docs/mysql/backup-recovery/backups
Your organization has a security policy to ensure that all Cloud SQL for PostgreSQL databases are secure. You want to protect sensitive data by using a key that meets specific locality or residency requirements. Your organization needs to control the key's lifecycle activities. You need to ensure that data is encrypted at rest and in transit. What should you do?
https://cloud.google.com/sql/docs/postgres/configure-cmek#createcmekinstance
You need to migrate existing databases from Microsoft SQL Server 2016 Standard Edition on a single Windows Server 2019 Datacenter Edition to a single Cloud SQL for SQL Server instance. During the discovery phase of your project, you notice that your on-premises server peaks at around 25,000 read IOPS. You need to ensure that your Cloud SQL instance is sized appropriately to maximize read performance. What should you do?
Your organization is running a low-latency reporting application on Microsoft SQL Server. In addition to the database engine, you are using SQL Server Analysis Services (SSAS), SQL Server Reporting Services (SSRS), and SQL Server Integration Services (SSIS) in your on-premises environment. You want to migrate your Microsoft SQL Server database instances to Google Cloud. You need to ensure minimal disruption to the existing architecture during migration. What should you do?
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