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Google Professional Cloud Developer Exam
- Topic 1: Designing Highly Scalable, Available, And Reliable Cloud-Native Applications/ Geographic Distribution Of Google Cloud Services
- Topic 2: Operating System Versions And Base Runtimes Of Services/ Oogle-Recommended Practices And Documentation
- Topic 3: Security Mechanisms That Protect Services And Resources/ Choosing Data Storage Options Based On Use Case Considerations
- Topic 4: Defining Database Schemas For Google-Managed Databases/ Re-Architecting Applications From Local Services To Google Cloud Platform
- Topic 5: Defining A Key Structure For High Write Applications Using Cloud Storage/ Using Cloud Storage To Run A Static Website
- Topic 6: Google-Recommended Practices And Documentation/ Deploying And Securing An API With Cloud Endpoints Setting Up Your Development Environment, Considerations/ Building And Testing Applications
- Topic 7: Reviewing Test Results Of Continuous Integration Pipeline/ Developing Unit Tests For All Code Written
- Topic 8: 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
- Topic 9: Launching A Compute Instance Using GCP Console And Cloud SDK/ Creating An Autoscaled Managed Instance Group Using An Instance Template
- Topic 10: Implementing Appropriate Deployment Strategies Based On The Target Compute Environment/ Creating A Load Balancer For Compute Engine Instances
- Topic 11: Deploying Applications And Services On Google Kubernetes Engine/ Deploying Applications And Services On Google Kubernetes Engine
- Topic 12: Automating Resource Provisioning With Deployment Manager/ Creating An Instance With A Startup Script That Installs Software
- Topic 13: Integrating An Application With Data And Storage Services/ Writing An SQL Query To Retrieve Data From Relational Databases
- Topic 14: Reading And Updating An Entity In A Cloud Datastore Transaction From An Application/ Using Apis To Read/Write To Data Services
- Topic 15: Configuring Compute Services Network Settings/ Configuring A Cloud Pub/Sub Push Subscription To Call An Endpoint
- Topic 16: Publishing And Consuming From Data Ingestion Sources/ Authenticating Users By Using Oauth2 Web Flow And Identity Aware Proxy
Free Google Professional Cloud Developer Exam Actual Questions
The questions for Professional Cloud Developer were last updated On Jan. 30, 2023
You have a container deployed on Google Kubernetes Engine. The container can sometimes be slow to launch, so you have implemented a liveness probe. You notice that the liveness probe occasionally fails on launch. What should you do?
You work for an organization that manages an ecommerce site. Your application is deployed behind a global HTTP(S) load balancer. You need to test a new product recommendation algorithm. You plan to use A/B testing to determine the new algorithm's effect on sales in a randomized way. How should you test this feature?
https://cloud.google.com/load-balancing/docs/https/traffic-management-global#traffic_actions_weight-based_traffic_splitting
Deploying a new version of an existing production service generally incurs some risk. Even if your tests pass in staging, you probably don't want to subject 100% of your users to the new version immediately. With traffic management, you can define percentage-based traffic splits across multiple backend services.
For example, you can send 95% of the traffic to the previous version of your service and 5% to the new version of your service. After you've validated that the new production version works as expected, you can gradually shift the percentages until 100% of the traffic reaches the new version of your service. Traffic splitting is typically used for deploying new versions, A/B testing, service migration, and similar processes.
Your team develops services that run on Google Kubernetes Engine. Your team's code is stored in Cloud Source Repositories. You need to quickly identify bugs in the code before it is deployed to production. You want to invest in automation to improve developer feedback and make the process as efficient as possible. What should you do?
Your team is developing an application in Google Cloud that executes with user identities maintained by Cloud Identity. Each of your application's users will have an associated Pub/Sub topic to which messages are published, and a Pub/Sub subscription where the same user will retrieve published messages. You need to ensure that only authorized users can publish and subscribe to their own specific Pub/Sub topic and subscription. What should you do?
You are evaluating developer tools to help drive Google Kubernetes Engine adoption and integration with your development environment, which includes VS Code and IntelliJ. What should you do?
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