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Exam Information
Official specifications published by Google
Exam Format
120 min
50-60
75%
Professional
Registration
$200 USD
Kryterion (onsite), Online proctored, or online proctoring
English
Validity
2 years
Retake the current version of the Professional Cloud Database Engineer exam before expiration; Renewal eligibility window opens 60 days before certification expiration
GCP-PCDE Exam Topics and Domains
GCP-PCDE is organized into 4 weighted domains. Expect to work with AlloyDB, Cloud SQL, Cloud Spanner, Cloud Bigtable, and more.
1
Design Innovative, Scalable, and Highly Available Cloud Database Solutions
32%
Analyze relevant variables to perform database capacity and usage planning
Perform solution sizing based on current environment workload metrics and future requirementsEvaluate performance and cost tradeoffs of different database configurationsSize database compute and storage based on performance requirements
- Perform solution sizing based on current environment workload metrics and future requirements
- Evaluate performance and cost tradeoffs of different database configurations (e.g., machine types, storage types)
- Size database compute and storage based on performance requirements
Evaluate database high availability and disaster recovery options given the requirements
Evaluate tradeoffs between multi-regional, regional, and zonal database deployment strategiesDefine maintenance windows and notifications based on application availability requirements
- Evaluate tradeoffs between multi-regional, regional, and zonal database deployment strategies
- Define maintenance windows and notifications based on application availability requirements
Determine how applications will connect to the database
Configure networking, key management, encryption, and securityJustify the use of session pooler servicesAssess auditing policies for managed services
- Configure networking, key management, encryption, and security
- Justify the use of session pooler services
- Assess auditing policies for managed services
Evaluate appropriate database solutions on Google Cloud
Differentiate between managed and unmanaged database servicesDistinguish between SQL and NoSQL business requirementsAnalyze the cost of running database solutions in Google CloudAssess application and database dependenciesIdentify solutions to support regulatory and compliance requirementsUnderstand implications of organizational policies on database strategyConsider solutions that span multiple database technologiesLeverage database technologies to support generative AI and LLM use cases
- Differentiate between managed and unmanaged database services (e.g., self-managed, bare metal, Google-managed, Google Cloud native and partner database offerings)
- Distinguish between SQL and NoSQL business requirements (e.g., structured, semi-structured, unstructured, vector)
- Analyze the cost of running database solutions in Google Cloud (comparative analysis)
- Assess application and database dependencies
- Identify solutions to support regulatory and compliance requirements
- Understand implications of organizational policies on database strategy
- Consider solutions that span multiple database technologies (e.g., federation, exports, hybrid deployments)
- Leverage database technologies to support generative AI and LLM use cases
2
Manage a Solution That Can Span Multiple Database Technologies
25%
Determine database connectivity and access management considerations
Determine Identity and Access Management (IAM) and policies for database connectivity and access controlManage database users including authentication and access
- Determine Identity and Access Management (IAM) and policies for database connectivity and access control
- Manage database users including authentication and access
Configure database monitoring and troubleshooting options
Assess slow running queries, database locking - identify missing indexesMonitor and investigate database vitals - RAM, CPU, storage, I/O, and audit loggingMonitor and update quotasInvestigate database resource contentionSet up alerts for errors and performance metrics
- Assess slow running queries, database locking - identify missing indexes
- Monitor and investigate database vitals - RAM, CPU storage, I/O, and audit logging
- Monitor and update quotas
- Investigate database resource contention
- Set up alerts for errors and performance metrics
Design database backup and recovery solutions
Given requirements, recommend backup and recovery options (automatic scheduled backups)Configure export and import data for databasesDesign for RTO, RPO, and PITRManage data retention
- Given requirements, recommend backup and recovery options (automatic scheduled backups)
- Configure export and import data for databases
- Design for RTO, RPO, and PITR
- Manage data retention
Optimize database cost and performance in Google Cloud
Assess scaling up and scaling out optionsScale database instances based on current and upcoming workloadDefine replication strategiesContinuously assess and optimize the cost of running a database solutionOptimize queries for cost and performance
- Assess scaling up and scaling out options
- Scale database instances based on current and upcoming workload
- Define replication strategies
- Continuously assess and optimize the cost of running a database solution
- Optimize queries for cost and performance
Automate common database tasks
Perform database maintenance (e.g., rebuilding indexes, data exports)Schedule database exportsManage upgrades for Google Cloud-managed databasesMonitor database SLA/SLOs
- Perform database maintenance (e.g., rebuilding indexes, data exports)
- Schedule database exports
- Manage upgrades for Google Cloud-managed databases
- Monitor database SLA/SLOs
3
Migrate Data Solutions
23%
Design and implement data migration and replication
Develop and execute migration strategies and plans, including zero/near-zero downtime, extended outage, and fallbackReverse replication from Google Cloud to sourcePlan and perform database migration, including fallback plans and DDL/DML conversionDetermine the correct database migration tools for a given scenario
- Develop and execute migration strategies and plans, including zero/near-zero downtime, extended outage, and fallback
- Reverse replication from Google Cloud to source
- Plan and perform database migration, including fallback plans and DDL/DML conversion
- Determine the correct database migration tools for a given scenario (e.g., databases hosted outside of Google Cloud)
4
Deploy Scalable and Highly Available Databases in Google Cloud
20%
Apply concepts to implement scalable and highly available databases in Google Cloud
Provision highly available database solutions in Google CloudTest high availability and disaster recovery strategiesSet up multi-regional replication for databasesDeploy and scale read replicasAutomate database instance provisioningConfigure monitoring for highly available databases
- Provision highly available database solutions in Google Cloud
- Test high availability and disaster recovery strategies
- Set up multi-regional replication for databases
- Deploy and scale read replicas
- Automate database instance provisioning
- Configure monitoring for highly available databases
How do I earn this certification?
Passing GCP-PCDE earns the Google Cloud Certified - Professional Cloud Database Engineer certification. It sits in the Data & Database track.
Current Level Exams
Next Level Options
Alternative Paths
- GCP-PDE - Professional Data EngineerComplementary data pipeline and analytics skills. Strong pairing for full data lifecycle expertise.
- GCP-PCNE - Professional Cloud Network EngineerDeep networking knowledge for VPC design, PSA/PSC, and Interconnect - directly relevant to database connectivity.
- GCP-PCDE-DOE - Professional Cloud DevOps EngineerSRE practices, SLI/SLO/SLA management, and observability skills that complement database operations.
Practice with Precision
The PlanetCert Simulator mirrors the real exam environment with authentic questions and timed pressure.
How to study for this exam?
The most effective way to prepare for GCP-PCDE is by using the PlanetCert Simulator to practice questions and review detailed explanations.
What's changed on this exam?
Current Status
- ACTIVE
- Last content update: Exam guide v1.2 (current)
Updates
- AlloyDB for PostgreSQL Current Now a core 'Big 4' database. ScaNN index, columnar engine, HTAP, and AI capabilities are heavily tested.
- Cloud Spanner 2025 updates Native vector search (ANN), ML.PREDICT, MCP Toolbox, and AI agent support now exam-relevant. • Release date: 2025
- Database Migration Service (DMS) Current Gemini-assisted schema conversion for heterogeneous migrations (Oracle PL/SQL to PostgreSQL) is a new exam focus area.
- Private Service Connect (PSC) Current PSC is the modern connectivity model replacing PSA for many scenarios. Understanding PSA vs PSC tradeoffs is heavily tested.
Who should take this exam?
- 5+ years of overall database and IT experience
- 2+ years of hands-on experience working with Google Cloud database solutions
- Experience designing, creating, managing, and troubleshooting databases
- Ability to translate business and technical requirements into database solutions