Professional Cloud Developer exam
50-60 multiple choice and multiple select questions.
- Type
- Written
- Delivery
- Both
- Duration
- 120 min
Exam sections
Section 1 – Designing highly scalable, available, and reliable cloud-native applications
Covers how to architect applications for performance, security, and data handling. Focuses on compute platform selection (Compute Engine, GKE, Cloud Run), load balancing, caching (Memorystore), API management (Apigee), and database schema design for Spanner and Bigtable.
Preparation tips
Emphasize cost-optimized resource sizing, traffic-splitting strategies, and use of Google-managed orchestration services like Workflows and Eventarc.
Section 2 – Building and testing applications
Focuses on development tooling, build pipelines, and testing practices. Covers Google Cloud SDK, Cloud Code, Gemini Cloud Assist, Cloud Build for container images, Artifact Registry, and automated unit and integration testing.
Preparation tips
Include provenance configuration in builds and utilize Gemini AI assistance for efficient test authoring.
Section 3 – Deploying applications
Examines deployment techniques for serverless and container workloads. Focuses on deploying to Cloud Run and GKE, managing resource limits, utilizing Eventarc or Pub/Sub triggers, and implementing API versioning.
Preparation tips
Highlight the use of event-driven triggers and API versioning practices; ensure resource specifications align with cost and performance goals.
Section 4 – Integrating applications with Google Cloud services
Covers integration patterns and observability. Includes API calls via client libraries, error handling with exponential backoff, Kubernetes health checks, HPA, and instrumentation using Cloud Observability suite.
Preparation tips
Use health checks and HPA for availability and cost control; adopt systematic instrumentation for observability and employ Gemini Assist for faster debugging.