The Google Cloud Certified Professional Cloud Developer exam validates your ability to design, build, and deploy applications on Google Cloud. This certification is intended for developers who work with Google Cloud services daily and need to demonstrate practical expertise in cloud-native application development. This page guides you through the exam structure, core topics, and an effective preparation strategy to help you succeed.
Use this topic map to guide your study for Google Professional Cloud Developer within the Google Cloud Certified path.
The Professional Cloud Developer exam uses multiple question types to assess both conceptual knowledge and practical decision-making. Questions progress in difficulty and reflect real-world scenarios you may encounter in production environments.
An effective study plan maps exam topics to weekly goals and includes both conceptual learning and hands-on practice. Dedicate time to each domain proportionally and connect concepts across the full application lifecycle.
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Application design and deployment typically account for a larger portion of the exam. However, all five domains are important; the exam tests your ability to connect these areas. For example, a design decision affects how you deploy and monitor an application, so balanced preparation across all topics is essential.
In practice, you start by designing an application for scalability and reliability, then build it with proper testing, deploy it to a production environment, integrate it with Google Cloud services, and finally monitor its performance. Understanding these connections helps you answer scenario-based questions that require you to think beyond isolated topics.
Hands-on lab work significantly improves retention and confidence. Prioritize labs that cover deploying applications to Compute Engine or Cloud Run, setting up Pub/Sub messaging, configuring Cloud SQL or Firestore, and using Cloud Monitoring. Direct experience with these services helps you understand trade-offs and best practices better than reading alone.
Candidates often overlook authentication and authorization details, miss nuances in scaling behavior, or choose a service without considering cost and performance trade-offs. Another frequent error is not reading scenario questions carefully; a single detail often determines the correct answer. Take time to understand why incorrect options are wrong, not just why the right answer is correct.
In your final week, take one full-length timed practice test to identify remaining gaps, review explanations for any questions you miss, and do a quick refresh of high-weight topics. Avoid cramming new material; instead, consolidate what you have learned and build test-day confidence through realistic practice. Get adequate sleep the night before the exam.
You have deployed an HTTP(s) Load Balancer with the gcloud commands shown below.
Health checks to port 80 on the Compute Engine virtual machine instance are failing and no traffic is sent to your instances. You want to resolve the problem.
Which commands should you run?
Your company's development teams want to use Cloud Build in their projects to build and push Docker images
to Container Registry. The operations team requires all Docker images to be published to a centralized,
securely managed Docker registry that the operations team manages.
What should you do?
You are using Cloud Build to create a new Docker image on each source code commit to a Cloud Source Repositoties repository. Your application is built on every commit to the master branch. You want to release specific commits made to the master branch in an automated method. What should you do?
You are writing a Compute Engine hosted application in project A that needs to securely authenticate to a Cloud Pub/Sub topic in project B.
What should you do?
https://cloud.google.com/pubsub/docs/access-control
'For example, suppose a service account in Cloud Project A wants to publish messages to a topic in Cloud Project B. You could accomplish this by granting the service account Edit permission in Cloud Project B'
You manage a microservice-based ecommerce platform on Google Cloud that sends confirmation emails to a third-party email service provider using a Cloud Function. Your company just launched a marketing campaign, and some customers are reporting that they have not received order confirmation emails. You discover that the services triggering the Cloud Function are receiving HTTP 500 errors. You need to change the way emails are handled to minimize email loss. What should you do?
This is a robust and scalable approach. By decoupling the email sending process using Pub/Sub, you introduce a queueing mechanism. This ensures that even if the Cloud Function encounters an issue, the email messages are not lost but remain in the queue. Additionally, Pub/Sub can handle high throughput and provides retry mechanisms.
