Professional-Cloud-Developer Exam Dumps

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Certification Provider:	Google
Exam Code / Number:	Professional-Cloud-Developer
Exam Name:	Google Certified Professional - Cloud Developer
Exam Questions:	400
Last Updated:	Jul 05, 2026
Corresponding Certification:	Cloud Developer

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The Google Professional-Cloud-Developer exam confirms that the individual possesses the competence and knowledge necessary to develop robust and scalable cloud applications using GCP services. Individuals who pass the Professional-Cloud-Developer exam showcase to their employers, colleagues, and customers that they are highly skilled and knowledgeable in cloud application development and deployment.

To prepare for the Google Professional-Cloud-Developer exam, Google Cloud recommends a hands-on approach, which means getting acquainted with Google Cloud technology and attending training courses to get practical experience. Additionally, there are some Google-approved resources like the Google Cloud documentation, Google Cloud Platform Console, and the Resource Manager console. Professional-Cloud-Developer exam fee is $200 and is available in multiple languages, where candidates can schedule and take the exam according to their convenience.

Google Professional-Cloud-Developer Exam Syllabus Topics:

Topic	Details
Topic 1	Launching A Compute Instance Using GCP Console And Cloud SDK Creating An Autoscaled Managed Instance Group Using An Instance Template
Topic 2	Setting Up Your Development Environment, Considerations Building And Testing Applications
Topic 3	Eploying Applications And Services On Compute Engine Deploying An Application To App Engine
Topic 4	Implementing Appropriate Deployment Strategies Based On The Target Compute Environment Creating A Load Balancer For Compute Engine Instances
Topic 5	Security Mechanisms That Protect Services And Resources Choosing Data Storage Options Based On Use Case Considerations
Topic 6	Configuring Compute Services Network Settings Configuring A Cloud Pub Sub Push Subscription To Call An Endpoint
Topic 7	Designing Highly Scalable, Available, And Reliable Cloud-Native Applications Geographic Distribution Of Google Cloud Services
Topic 8	Automating Resource Provisioning With Deployment Manager Creating An Instance With A Startup Script That Installs Software
Topic 9	Integrating An Application With Data And Storage Services Writing An SQL Query To Retrieve Data From Relational Databases
Topic 10	Defining Database Schemas For Google-Managed Databases Re-Architecting Applications From Local Services To Google Cloud Platform
Topic 11	Reading And Updating An Entity In A Cloud Datastore Transaction From An Application Using Apis To Read Write To Data Services
Topic 12	Reviewing Test Results Of Continuous Integration Pipeline Developing Unit Tests For All Code Written
Topic 13	Defining A Key Structure For High Write Applications Using Cloud Storage Using Cloud Storage To Run A Static Website
Topic 14	Google-Recommended Practices And Documentation Deploying And Securing An API With Cloud Endpoints
Topic 15	Operating System Versions And Base Runtimes Of Services Oogle-Recommended Practices And Documentation
Topic 16	Publishing And Consuming From Data Ingestion Sources Authenticating Users By Using Oauth2 Web Flow And Identity Aware Proxy
Topic 17	Developing An Integration Pipeline Using Services Emulating GCP Services For Local Application Development

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