Google Certified Professional - Cloud Developer : Professional-Cloud-Developer

  • Exam Code: Professional-Cloud-Developer
  • Exam Name: Google Certified Professional - Cloud Developer
  • Updated: Aug 13, 2026
  • Q & A: 400 Questions and Answers

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About Google Professional-Cloud-Developer Exam

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Target Audience and Prerequisites

The Google Professional Cloud Developer certification exam is intended for those App Developers who are involved in designing and building applications to run on Google Cloud Platform. These specialists should be familiar with the Google Cloud Platform products, such as Cloud Storage, Compute Engine, Security Key Enforcement, as well as BigQuery.

There are no obligatory requirements that the candidates need to meet to become eligible for the qualifying test. Nevertheless, the target individuals are recommended to have three or more years of industry experience, including one or more years of experience in designing and managing solutions using Google Cloud. Besides that, the students need to develop a comprehensive understanding of the exam topics.

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Who should take the Google Professional Cloud Developer exam

Individuals should pursue the Google Professional Cloud Developer Exam if they want to demonstrate their expertise and ability to design highly scalable, available, and reliable cloud-native applications and deploy applications. It's perfect for solutions and/or enterprise architects, systems administrators or operations team members or simply any professional who wants in on this specific area of IT and cloud. A Professional Cloud Developer should have skills at producing meaningful metrics and logs to debug and trace code and proficiency with at least one general-purpose programming language.

Reference: https://cloud.google.com/certification/cloud-developer

Main Exam Details

Google Professional Cloud Developer exam lasts for 2 hours and costs $200. Usually, the questions in it come in form of multiple choice and multiple select items. The exam is available across the globe in Japanese and English languages and has two recognized delivery modes. Firstly, candidates can enroll in the online-proctored test and take it from any location. However, if you fancy the idea of sitting for the exam from a physical location, choosing the onsite proctored format makes more sense.

Usually, there are no prerequisites for the Google Professional Cloud Developer test. However, Google recommends that learners should have a minimum of 3 years of proven industry experience that includes one year of creating as well as managing solutions with GCP.

Google Professional-Cloud-Developer Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Configuring cloud-native applications for deployment24%- Deploying to App Engine or Cloud Functions
  • 1. Managing versions and traffic splitting
  • 2. Configuring serverless deployments
- 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 applications to Google Kubernetes Engine
  • 1. Creating and managing workloads and services
  • 2. Configuring scaling, auto-scaling, and updates
  • 3. Managing configurations and secrets
Topic 2: Building and testing applications23%- Testing applications
  • 1. Automating testing in CI/CD workflows
  • 2. Using AI-assisted development tools
  • 3. Writing unit, integration, and end-to-end tests
- Setting up development environments
  • 1. Using Cloud SDK, Cloud Code, Cloud Shell, and Cloud Workstations
  • 2. Emulating Google Cloud services locally
- Building applications and containers
  • 1. Configuring build pipelines and provenance
  • 2. Using Cloud Build and Artifact Registry
  • 3. Implementing containerization best practices
Topic 3: Integrating applications with Google Cloud services21%- Implementing application performance monitoring
  • 1. Instrumenting code for metrics and traces
  • 2. Using operations suite tools
- 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
- 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
Topic 4: Designing highly scalable, secure, and reliable cloud-native applications32%- Designing high-performing applications and APIs
  • 1. Selecting appropriate compute and deployment platforms
  • 2. Designing for high availability and fault tolerance
  • 3. Optimizing for latency and throughput
- Designing for observability and monitoring
  • 1. Planning logging, metrics, and tracing strategies
  • 2. Designing for debugging and troubleshooting
- Designing secure applications
  • 1. Securing data in transit and at rest
  • 2. Implementing authentication and authorization mechanisms
  • 3. Applying security best practices and compliance requirements

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