Professional Cloud Developer — Practice Questions and Mock Exam

The Professional Cloud Developer certification validates the ability to design, build, test, and deploy cloud-native applications on Google Cloud. It covers application architecture, CI/CD integration, containerization with Cloud Run and GKE, and leveraging Google Cloud services for storage, messaging, and AI. The exam guide weights designing scalable, secure, and reliable cloud-native applications most heavily (~32%), and the developer role now explicitly includes generative AI APIs and AI-powered development tools.

This is a professional-level credential for software engineers and developers building cloud-native applications on Google Cloud. Google recommends 3+ years of industry experience, including 1+ years designing and managing cloud solutions on Google Cloud, and it leads to cloud developer, full-stack developer, and application architect roles.

Application design carries the most weight at 32%: choosing a compute platform among Compute Engine, GKE, and Cloud Run, architecting APIs with caching and load balancing, keeping service-to-service calls scoped to least privilege, and picking a database schema that fits the data's volume and consistency needs. Configuring applications for deployment follows at 24%, testing whether a Cloud Run release goes live correctly and whether a containerized GKE rollout stays healthy and available under autoscaling. Building and testing takes 23%: the local dev loop, container images built and registered through Artifact Registry and Cloud Build, and AI-assisted test writing. Integrating with the rest of Google Cloud closes the blueprint at 21%, covering data and messaging connections, API consumption patterns, and observability instrumentation for troubleshooting.

The emphasis on design over pure syntax reflects the exam's premise: it assumes you can already write the code and tests whether you would architect it correctly under real constraints (latency, cost, failure modes), not whether you know a particular framework's API.

The exam draws 50–60 multiple-choice and multiple-select questions inside a 120-minute window, weighted roughly 80% single-answer to 20% multiple-select. Questions present a development scenario and ask you to choose the right architecture, service, or approach, commonly touching Cloud Run, GKE, Cloud Functions, Pub/Sub, Firestore, or an application-security control.

Every domain of the GCP-PCD exam has enough questions in the pool to practice it in depth. A mock exam asks 55 questions in one sitting, on the same 120-minute clock as the real thing.

How long you'll need depends on how much hands-on experience you bring. The rest is set by the vendor: how the exam is delivered, how soon you can retake it, and how long the credential stays valid.

The exam runs through Pearson VUE, either online-proctored or at a testing center, and is offered in English and Japanese. The certification holds for 2 years, with renewal available during the renewal eligibility period.

Strong software-development fundamentals are assumed going in, so candidates from an infrastructure-heavy background tend to underestimate the questions on application design patterns, API management, and CI/CD pipeline structure. Choosing between Cloud Run, Cloud Functions, and App Engine for a given workload is a recurring decision point, and getting it wrong usually traces back to not weighing cold-start behavior or execution-time limits. Database selection follows a similar pattern: Firestore, Cloud SQL, Spanner, and Bigtable each fit a different consistency and scale profile, and the exam expects that mapping to be automatic. Pub/Sub, Eventarc, and Cloud Tasks solve overlapping asynchronous-processing problems, and container image scanning and Artifact Registry access patterns are easy to overlook while focused on the application logic itself.