Google Professional-Cloud-Developer Exam Details & Actual Exam Questions

  • Exam Code/Number: Professional-Cloud-Developer
  • Exam Name/Title: Google Certified Professional - Cloud Developer
  • Certification Provider: Google
  • Corresponding Certification: Cloud Developer
  • Exam Questions: 400
  • Updated On: Jul,04 2026
  • Certification Level: Professional

Google Certified Professional - Cloud Developer Exam Questions

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Google Professional-Cloud-Developer Exam Overview:

Certification Vendor:Google Cloud
Exam Name:Google Cloud Certified Professional - Cloud Developer Exam
Exam Number:Professional-Cloud-Developer
Exam Duration:120 minutes
Passing Score:Not publicly disclosed
Available Languages:English, Japanese
Exam Price:$200 USD (plus tax where applicable)
Exam Format:Multiple choice, Multiple select
Real Exam Qty:50-60
Related Certifications:Google Cloud Certified Associate - Cloud Engineer
Google Cloud Certified Professional - Cloud Architect
Certificate Validity Period:2 years
Sample Questions:Google Professional-Cloud-Developer Sample Questions
Exam Way:Online-proctored (remote) or onsite-proctored at authorized testing centers
Pre Condition:No formal prerequisites; recommended: 3+ years industry experience, 1+ year designing/managing Google Cloud solutions
Official Syllabus URL:https://cloud.google.com/learn/certification/cloud-developer

Google Professional-Cloud-Developer Exam Syllabus Topics:

SectionWeightObjectives
Building and testing applications23%- Building applications and containers
  • 1. Implementing containerization best practices
  • 2. Configuring build pipelines and provenance
  • 3. Using Cloud Build and Artifact Registry
- Setting up development environments
  • 1. Using Cloud SDK, Cloud Code, Cloud Shell, and Cloud Workstations
  • 2. Emulating Google Cloud services locally
- Testing applications
  • 1. Automating testing in CI/CD workflows
  • 2. Using AI-assisted development tools
  • 3. Writing unit, integration, and end-to-end tests
Designing highly scalable, secure, and reliable cloud-native applications32%- Designing high-performing applications and APIs
  • 1. Optimizing for latency and throughput
  • 2. Designing for high availability and fault tolerance
  • 3. Selecting appropriate compute and deployment platforms
- Designing secure applications
  • 1. Implementing authentication and authorization mechanisms
  • 2. Applying security best practices and compliance requirements
  • 3. Securing data in transit and at rest
- Designing for observability and monitoring
  • 1. Designing for debugging and troubleshooting
  • 2. Planning logging, metrics, and tracing strategies
Configuring cloud-native applications for deployment24%- Deploying applications to Google Kubernetes Engine
  • 1. Creating and managing workloads and services
  • 2. Managing configurations and secrets
  • 3. Configuring scaling, auto-scaling, and updates
- Deploying applications to Cloud Run
  • 1. Integrating with event-driven services
  • 2. Deploying from source code or containers
  • 3. Configuring scaling, networking, and security
- Deploying to App Engine or Cloud Functions
  • 1. Configuring serverless deployments
  • 2. Managing versions and traffic splitting
Integrating applications with Google Cloud services21%- Implementing application performance monitoring
  • 1. Instrumenting code for metrics and traces
  • 2. Using operations suite tools
- Consuming Google Cloud APIs and services
  • 1. Enabling and managing APIs
  • 2. Integrating with AI/ML and generative AI services
  • 3. Using client libraries, REST, and gRPC
- Integrating with data and storage services
  • 1. Working with relational, NoSQL, and in-memory databases
  • 2. Implementing messaging and event streaming
  • 3. Using object storage and file storage solutions


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