Google Cloud Professional Cloud Database Engineer (PCDE) Study Guide
Prepare for GCP-PCDE with database architecture, migration, operations, availability, security, and cost optimization.
The Professional Cloud Database Engineer (PCDE) exam is for engineers who design, migrate, and operate databases on Google Cloud. The key is choosing a platform based on consistency, latency, scale, availability, migration risk, and cost, then explaining how to operate it.
GCP-PCDE is the shorthand used on this site; the official name is Professional Cloud Database Engineer. Check the current objectives in the official certification page and exam guide.
Who is it for?
It suits people with database administration, architecture, or migration experience who want to specialize in Google Cloud data services. Key products include Cloud SQL, AlloyDB, Spanner, Bigtable, Firestore, Memorystore, and Bare Metal Solution.
Core exam topics
| Official domain | Main focus | Weight |
|---|---|---|
| Design innovative, scalable, and highly available cloud database solutions | Capacity planning, product choice, availability, and cost | ~32% |
| Manage a solution that can span multiple database technologies | Access, monitoring, recovery, performance, and automation | ~25% |
| Migrate data solutions | Migration, replication, validation, and rollback | ~23% |
| Deploy scalable and highly available databases | Deployment, scaling, replication, and monitoring | ~20% |
Design database solutions
Choose based on relational versus non-relational data, transactional versus analytical work, read/write patterns, consistency, geographic distribution, and recovery objectives. Compare Cloud SQL and AlloyDB for relational use cases, Spanner for horizontally scalable transactions, Bigtable for high-throughput wide-column access, and Firestore for document data.
Migration and implementation
Assess the source database, compatibility, and downtime window. Plan migration, validation, cutover, and rollback. Understand connectivity, identity, encryption, database configuration, schema design, and initial/ongoing data synchronization.
Operations, availability, and cost
Review backup and restore, replication, failover, monitoring, capacity scaling, performance diagnostics, and maintenance. Cost questions involve instance sizing, storage, backups, data transfer, and operational effort—not just list price.
Common confusion: Spanner and Cloud SQL both support transactional workloads, but their scaling models and complexity differ. BigQuery is an analytical warehouse, not an OLTP database. Always return to consistency, scale, and access patterns.
Study sequence and readiness check
Build a product comparison first, then practice migration scenarios, and finish with backup/recovery, security, and performance troubleshooting. For each scenario, note workload, data volume, RTO/RPO, latency, operating effort, and cost factors.
- Choose a database based on data model and access pattern.
- Plan migration validation, cutover, and rollback.
- Design backup, replication, and recovery.
- Diagnose performance bottlenecks and explain cost drivers.
Keep practicing
Use database scenarios to balance consistency, scale, migration risk, and cost. Start GCP-PCDE practice.