GOOGLE CLOUDGoogle Cloud Professional Cloud Database Engineer
The Google Cloud Professional Cloud Database Engineer certification validates your ability to design, deploy, and manage secure, reliable, and highly available database solutions on Google Cloud. It is for database engineers and architects who build and operate production database systems. Earning it demonstrates you can translate business requirements into scalable, cost-effective database architectures.
266 practice questions · Updated 2026-07-30
4Domains
11Objectives
72Concepts
266Questions
PROFESSIONAL-CLOUD-DATABASE-ENGINEER Curriculum
Every domain, objective, and concept the PROFESSIONAL-CLOUD-DATABASE-ENGINEER exam measures.
- Workload metrics collection
- Future requirements analysis
- Solution sizing methodology
- Compute configuration tradeoffs
- Storage configuration tradeoffs
- Compute sizing for performance
- Storage sizing for performance
- Deployment strategy tradeoffs
- Maintenance windows and notifications
- VPC networking and private connectivity
- Database authentication and authorization
- Encryption key management
- Data encryption in transit and at rest
- Firewall rules and private IP
- Session pooler services
- Connection pooling benefits and trade-offs
- Audit logging configuration
- Audit policy assessment
- Managed vs. Unmanaged Database Services
- SQL vs. NoSQL Business Requirements
- Cost Analysis of Database Solutions
- Application and Database Dependencies
- Regulatory and Compliance Requirements
- Organizational Policies Impact on Database Strategy
- Multi-Database Technology Solutions
- Database Support for Generative AI and LLMs
- IAM roles and policies for database access
- Database authentication methods
- Database user management
- Privileges and access control
- Connecting securely to databases
- Auditing and monitoring access
- Identify slow queries
- Detect missing indexes
- Monitor database vitals
- Enable and review audit logging
- Monitor and update quotas
- Investigate resource contention
- Set up alerts for errors
- Set up alerts for performance metrics
- Automatic scheduled backups
- Manual backups and on-demand snapshots
- Export and import data for databases
- Recovery Time Objective (RTO) and Recovery Point Objective (RPO) design
- Point-in-Time Recovery (PITR)
- Data retention management
- Backup and recovery for cross-region and multi-region databases
- Testing and validating backup and recovery
- Scaling Up vs. Scaling Out
- Database Instance Scaling
- Replication Strategies
- Cost Optimization Assessment
- Query Optimization for Cost and Performance
- Database maintenance tasks
- Scheduling database exports
- Managing upgrades for managed databases
- Monitoring database SLA/SLOs
- Migration strategy selection
- Migration planning and execution
- Zero/near-zero downtime migration techniques
- Extended outage migration approach
- Fallback planning and execution
- Reverse replication from Google Cloud to source
- DDL and DML conversion
- Database migration tool selection
- Migration for databases hosted outside Google Cloud
- Provisioning highly available database solutions
- Testing high availability and disaster recovery strategies
- Setting up multi-regional replication for databases
- Deploying and scaling read replicas
- Automating database instance provisioning
- Configuring monitoring for highly available databases
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Percentages reflect share of the current practice bank, not official exam weightings — no structured per-skill weight is published for PROFESSIONAL-CLOUD-DATABASE-ENGINEER, so none is invented.