Professional Cloud Database Engineer exam
50-60 multiple choice and multiple select questions.
- Type
- Written
- Delivery
- Both
- Duration
- 120 min
Exam sections
Section 1: Design innovative, scalable, and highly available cloud database solutions
Covers capacity planning, high‑availability and disaster‑recovery design, connection architecture, and selecting appropriate Google Cloud database services. Candidates must evaluate performance‑cost trade‑offs, sizing, networking, security, compliance, multi‑region strategies, and emerging use‑cases such as generative AI.
Preparation tips
Analyze workload metrics for sizing, compare managed vs. unmanaged services, and assess cost of run-time and regulatory compliance.
Section 2: Manage a solution that can span multiple database technologies
Covers governance, connectivity, IAM, monitoring, troubleshooting, backup/recovery, data export‑import, cost‑performance optimization, and automation across heterogeneous database environments. Emphasis is on continuous monitoring, quota management, RTO/RPO design, and SLA/SLO oversight.
Preparation tips
Define IAM policies and user authentication, set alerts for performance anomalies, and optimize queries and scaling.
Section 3: Migrate data solutions
Involves planning and executing data migration and replication strategies, including zero‑downtime approaches, fallback mechanisms, reverse replication, and tool selection for moving databases into Google Cloud. Candidates must handle DDL/DML conversion and migration tool suitability.
Preparation tips
Design migration with fallback and outage scenarios, and choose appropriate Google Cloud migration tools.
Section 4: Deploy scalable and highly available databases in Google Cloud
Focuses on provisioning, testing, and operating highly available database instances, including multi‑regional replication, read‑replica deployment, automated provisioning, and monitoring. Candidates must validate HA/DR designs and ensure scalability across the environment.
Preparation tips
Provision HA configurations and test DR plans, deploy multi-region replicas, and automate scaling.
