Google Professional-Cloud-Developer Practice Test Questions Answers
Exam Code: Professional-Cloud-Developer
(Updated 265 Q&As with Explanation)
Exam Name: Google Certified Professional - Cloud Developer
Last Update: 01-Jul-2025
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Professional-Cloud-Developer Overview
Google Professional Cloud Developer Exam Overview
| Category | Details |
|---|---|
| Exam Name | Google Professional Cloud Developer |
| Exam Code | GCP-PCD |
| Duration | 2 hours |
| Number of Questions | 50–60 |
| Passing Score | Approximately 70% (scaled score system) |
| Question Format | Multiple choice and multiple select |
| Exam Fee | $200 USD (plus tax where applicable) |
| Languages Available | English and Japanese |
| Delivery Method | Online-proctored or onsite-proctored (via Pearson VUE) |
| Recommended Experience | 3+ years in industry, including 1+ year with Google Cloud |
| Certification Validity | 2 years |
| Recertification | Required every 2 years by retaking the exam |
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Google Professional-Cloud-Developer Exam Topics Breakdown
| Section | Topic Focus | Approx. Weight (%) |
|---|---|---|
| 1. Designing Scalable, Available, and Reliable Applications | - Microservices architecture - Platform selection (IaaS, PaaS, FaaS) - Application modernization - Caching solutions - Asynchronous communication (Pub/Sub, Eventarc) - Cost and resource optimization - Error handling and scaling |
36% |
| 2. Building and Testing Applications | - Local development environments (Cloud SDK, Cloud Shell) - Source control management - Container image creation - Continuous integration pipelines (Cloud Build) - Unit and integration testing - Performance and load testing - Failure testing (chaos engineering) |
26% |
| 3. Deploying Applications | - Feature rollout strategies (A/B testing, feature flags) - Serverless deployments (Cloud Functions, Cloud Run) - API deployment and security (Apigee) - Kubernetes deployments (GKE) - Traffic management and scaling |
19% |
| 4. Integrating Applications with Google Cloud Services | - Data storage integration (Cloud SQL, Firestore, Bigtable) - Asynchronous data handling (Pub/Sub) - Orchestration (Workflows, Cloud Tasks) - API integration (REST, gRPC) - Service account authentication - Observability and monitoring (Cloud Monitoring, Cloud Logging) |
22% |
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