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Google Professional-Cloud-Developer Exam

Professional Cloud Developer

Last Updated: Jun 29, 2024
qa 265

265 Questions and Answers for the Google Professional-Cloud-Developer exam

qa 461

Students Passed the "Google Professional-Cloud-Developer" exam

qa 95%

Average score during Real Exams at the Testing Centre

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