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Last Updated: Aug 22, 2026

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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.

Section 4: Integrating Google Cloud Services

The aim of this domain is to evaluate the learners based on their capacity to integrate an app with storage & data services, integrate an app with compute services, as well as integrate Cloud APIs with apps.

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According to the current outline, the exam covers the skill areas listed below:

  • Managing the monitoring of application performance
  • Building as well as testing applications
  • Creating scalable, reliable, and highly available cloud-native apps
  • Handling integration of Google Cloud Services
  • Performing applications deployment

Conclusion

Cloud technology is trending these days and it is easy to see why. Moreover, as the industry expands, the demand for cloud professionals raises too. Thus, the decision to become an accredited specialist in this field is worth all the efforts you are going to put into the process of getting certified. Now you know more about the Google Professional Cloud Developer exam, what you need to master to ace it successfully, and what are the best training courses and books that will help you prepare for the test. Futureproof your skills by obtaining your certificate today.

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

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Google Professional-Cloud-Developer Exam Syllabus Topics:

SectionWeightObjectives
Building and testing applications23%- Setting up development environments
  • 1. Using Cloud SDK, Cloud Code, Cloud Shell, and Cloud Workstations
  • 2. Emulating Google Cloud services locally
- Testing applications
  • 1. Using AI-assisted development tools
  • 2. Automating testing in CI/CD workflows
  • 3. Writing unit, integration, and end-to-end tests
- Building applications and containers
  • 1. Configuring build pipelines and provenance
  • 2. Using Cloud Build and Artifact Registry
  • 3. Implementing containerization best practices
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. Using client libraries, REST, and gRPC
  • 2. Enabling and managing APIs
  • 3. Integrating with AI/ML and generative AI services
- Integrating with data and storage services
  • 1. Using object storage and file storage solutions
  • 2. Implementing messaging and event streaming
  • 3. Working with relational, NoSQL, and in-memory databases
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. Securing data in transit and at rest
  • 2. Implementing authentication and authorization mechanisms
  • 3. Applying security best practices and compliance requirements
- 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. Managing configurations and secrets
  • 2. Configuring scaling, auto-scaling, and updates
  • 3. Creating and managing workloads and services
- Deploying to App Engine or Cloud Functions
  • 1. Configuring serverless deployments
  • 2. Managing versions and traffic splitting
- Deploying applications to Cloud Run
  • 1. Deploying from source code or containers
  • 2. Configuring scaling, networking, and security
  • 3. Integrating with event-driven services

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