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

Professional-Cloud-Developer

Exam Code: Professional-Cloud-Developer

Exam Name: Google Certified Professional - Cloud Developer

Updated: Aug 08, 2026

Q & A: 400 Questions and Answers

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Deploying Apps

  • Deploy Cloud Functions: The next objective requires having the skills in securing Cloud functions, Cloud functions invoked through HTTP, and Cloud functions triggered through events from Google Cloud services.
  • Recommend the Relevant Deployment Strategies with the Relevant Tools for a Target Compute Environment: The consideration for this section includes traffic-splitting deployments, canary deployments, rolling deployments, and green/blue deployments.
  • Deploy Applications & Services to GKE: This subtopic includes the evaluation of one’s skills in deploying containerized applications to GCE, configuring Google Cloud IAM and Kubernetes RBAC relationships, identifying workload specifications, and configuring the Kubernetes namespaces, among others.
  • Use a Service Account: This one covers the students’ skills in downloading and utilizing service account private key files as well as constructing service accounts based on the ethics of least privilege.
  • Deploy Applications & Services on the Compute Engine: This area covers bootstrapping of applications, management of service accounts for virtual machines, management of the Compute Engine virtual machine binaries and images, and exporting of application metrics and logs.

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Incorporating Google Cloud Services

  • Integrate Cloud APIs with Apps: This domain comes with caching results, restricting return data, batching requests, paginating results, and error handling.
  • Incorporate Applications with Data & Storage Services: The considerations for this subsection include connecting to data stores, write/read data from/to different databases and write applications that consume/publish data asynchronously.
  • Integrate Applications with Compute Services: This part contains the measurement of the skills in implementing the service discovery in Compute Engine and GKE, authenticating utilizing Identity-Aware Proxy & OAuth2.0 Web Flow, and authenticating with Workload Identity to Cloud APIs.

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

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Google Professional-Cloud-Developer Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Integrating applications with Google Cloud services21%- Integrating with data and storage services
  • 1. Implementing messaging and event streaming
  • 2. Using object storage and file storage solutions
  • 3. Working with relational, NoSQL, and in-memory databases
- 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. Using client libraries, REST, and gRPC
  • 3. Integrating with AI/ML and generative AI services
Topic 2: 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 Google Kubernetes Engine
  • 1. Creating and managing workloads and services
  • 2. Configuring scaling, auto-scaling, and updates
  • 3. Managing configurations and secrets
- Deploying applications to Cloud Run
  • 1. Deploying from source code or containers
  • 2. Integrating with event-driven services
  • 3. Configuring scaling, networking, and security
Topic 3: Building and testing applications23%- Building applications and containers
  • 1. Using Cloud Build and Artifact Registry
  • 2. Configuring build pipelines and provenance
  • 3. Implementing containerization best practices
- Testing applications
  • 1. Writing unit, integration, and end-to-end tests
  • 2. Using AI-assisted development tools
  • 3. Automating testing in CI/CD workflows
- Setting up development environments
  • 1. Emulating Google Cloud services locally
  • 2. Using Cloud SDK, Cloud Code, Cloud Shell, and Cloud Workstations
Topic 4: Designing highly scalable, secure, and reliable cloud-native applications32%- Designing secure applications
  • 1. Applying security best practices and compliance requirements
  • 2. Securing data in transit and at rest
  • 3. Implementing authentication and authorization mechanisms
- 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. Designing for debugging and troubleshooting
  • 2. Planning logging, metrics, and tracing strategies

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