Google Professional-Cloud-Developer exam dumps : Google Certified Professional - Cloud Developer

  • Exam Code: Professional-Cloud-Developer
  • Exam Name: Google Certified Professional - Cloud Developer
  • Updated: Aug 20, 2026     Q & A: 400 Questions and Answers

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Career Opportunity

Those individuals who have the Google Professional Cloud Developer certification can take up the job titles, such as Software Engineers, Solutions Architects, Operations Analysts, Web Application Developers, Senior Software Engineers, Information Security Managers, or Data Engineers. The average salary for these positions is $87,000 per annum.

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Section 3: Deploying Apps

This topic evaluates the ability of the students to recommend the relevant deployment strategies with the help of the appropriate tools, such as Spinnaker, Cloud Build, Anthos Configuration Manager, and Tekton, for a certain compute environment (for instance, Google Kubernetes Engine, Compute Engine, etc.). The individuals should also possess the skills in deploying apps & services on Compute Engine; deploying apps & services to Google Kubernetes Engine (GKE); deploying Cloud Function. Lastly, they must have the proficiency in utilizing service accounts.

Building & Testing Apps

  • Write Efficient Code: The potential candidates should understand algorithm design, software development methodologies, modern app patterns, and debugging & profiling code.
  • Building: It covers the skills in managing source control, improving and reviewing continuous efficiency in the integration pipeline, as well as creating different secure container images through code.
  • Testing: Here, an applicant needs to have the skills in unit testing, performance testing, integration testing, and load testing.
  • Set up a Local Development Environment: This subsection measures your skills in creating different Google Cloud projects, using developing tools and command-line interfaces, Cloud Shell tools, and Google Cloud Console, as well as imitating Google Cloud services for the development of the local application.

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Exam Overview

The Professional Cloud Developer certification exam is a 2-hour test covering the multiple-choice and multiple-select questions. It can be taken in English or Japanese and is available as an online proctored and an on-site proctored exam. The registration process costs $200, and this is for the delivery of a single test. The candidates who do not pass the exam must retake it to obtain the associated certificate. To do this, they must pay a new exam fee for their retake.

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

Google Professional-Cloud-Developer Exam Syllabus Topics:

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

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