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Google Professional Cloud Developer Exam Questions
- 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
Note: Premium Questions for Professional Cloud Developer were last updated On Jun. 19, 2025 (see below)
You are developing a single-player mobile game backend that has unpredictable traffic patterns as users interact with the game throughout the day and night. You want to optimize costs by ensuring that you have enough resources to handle requests, but minimize over-provisioning. You also want the system to handle traffic spikes efficiently. Which compute platform should you use?
You are designing an application that uses a microservices architecture. You are planning to deploy the application in the cloud and on-premises. You want to make sure the application can scale up on demand and also use managed services as much as possible. What should you do?
https://cloud.google.com/anthos/run
Integrated with Anthos, Cloud Run for Anthos provides a flexible serverless development platform for hybrid and multicloud environments. Cloud Run for Anthos is Google's managed and fully supported Knative offering, an open source project that enables serverless workloads on Kubernetes.
Your company stores their source code in a Cloud Source Repositories repository. Your company wants to build and test their code on each source code commit to the repository and requires a solution that is managed and has minimal operations overhead.
Which method should they use?
You are developing an application hosted on Google Cloud that uses a MySQL relational database schem
a. The application will have a large volume of reads and writes to the database and will require backups and ongoing capacity planning. Your team does not have time to fully manage the database but can take on small administrative tasks. How should you host the database?
https://cloud.google.com/spanner/docs/migrating-mysql-to-spanner#migration-process
Cloud SQL: Cloud SQL is a web service that allows you to create, configure, and use relational databases that live in Google's cloud. It is a fully-managed service that maintains, manages, and administers your databases, allowing you to focus on your applications and services.
https://cloud.google.com/sql/docs/mysql Cloud SQL for MySQL is a fully-managed database service that helps you set up, maintain, manage, and administer your MySQL relational databases on Google Cloud Platform.
You work on an application that relies on Cloud Spanner as its main datastore. New application features have occasionally caused performance regressions. You want to prevent performance issues by running an automated performance test with Cloud Build for each commit made. If multiple commits are made at the same time, the tests might run concurrently. What should you do?
Since the testing needs to accommodate scenarios where multiple commits are made simultaneously, and hence multiple tests might run concurrently, the testing environment should support isolated and independent testing instances to avoid interference among tests. Given these requirements, using the Cloud Spanner emulator would not be the best choice for this scenario. The emulator is primarily suited for local development, unit, and integration testing, and is not built for production-scale performance testing. It may not accurately replicate performance characteristics at scale or under load, which are crucial aspects in this case.
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