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Prepare for scalable application design, build and test workflows, deployment configuration, Google Cloud service integration, generative AI APIs, and AI-assisted development practices.
The Professional Cloud Developer exam assesses whether candidates can design, build, test, configure, deploy, and integrate scalable, secure, highly available applications on Google Cloud. The exam is 2 hours with 50 to 60 multiple-choice and multiple-select questions.
This professional exam focuses on application delivery, service integration, and modern developer workflows on Google Cloud.
The exam is 2 hours with 50 to 60 multiple-choice and multiple-select questions.
Google lists online-proctored and onsite-proctored delivery through Pearson after registration in CM Connect.
The registration fee is $200 plus applicable tax.
Google recommends 3 or more years of hands-on experience with Google Cloud products and solutions, including 1 or more years designing and managing solutions using Google Cloud.
Candidates need to design cloud-native applications, select runtime patterns, configure services, write and test application logic, manage dependencies, handle events, and connect applications to Google Cloud services with secure and reliable behavior.
The exam includes configuring applications for deployment, so preparation should include container builds, Cloud Run services, GKE workloads, App Engine, environment variables, service accounts, secrets, CI/CD pipelines, traffic splitting, rollbacks, and observability.
Google's current page says Cloud Developers use generative AI APIs to create intelligent user experiences and AI-powered development tools such as coding assistants, context engineering, and automated debugging agents. Candidates should understand these concepts as part of modern delivery workflows.
Use this Google Professional Cloud Developer exam help page for exam-specific context, then compare the broader online exam help services page or contact HiraEdu if you need a direct handoff. This page stays focused on Google Professional Cloud Developer while the linked service pages cover broader exam support options.
Google Professional Cloud Developer validates the ability to build and configure scalable, secure applications with Google-recommended tools and best practices. The current exam is 2 hours, costs $200 plus applicable tax, includes 50 to 60 multiple-choice and multiple-select questions, has no prerequisites, and is delivered online-proctored or onsite-proctored through Pearson. HiraEdu helps candidates prepare across cloud-native application design, build and test workflows, deployment configuration, Google Cloud service integration, generative AI APIs, AI-powered development tools, context engineering, automated debugging agents, and the product-name changes Google has flagged for this exam.
Google lists a 2-hour exam.
Google lists 50 to 60 multiple-choice and multiple-select questions.
It covers designing scalable cloud-native applications, building and testing applications, configuring applications for deployment, and integrating applications with Google Cloud services.
Google's current page says Professional Cloud Developers are responsible for using generative AI APIs and AI-powered development tools as part of modern application delivery.
Google lists online-proctored and onsite-proctored delivery through Pearson after registration in CM Connect.
Study scalable application design, build and test workflows, deployment configuration, and Google Cloud service integration.
Practice Cloud Run, GKE, App Engine, Cloud Build, Artifact Registry, Secret Manager, Pub/Sub, Eventarc, API Gateway, Cloud Tasks, Firestore, Cloud SQL, and Cloud Storage.
Use local emulators where appropriate, write tests, review Cloud Logging and Cloud Monitoring, configure error handling, and troubleshoot deployment or runtime failures.
Register through CM Connect, choose online or onsite delivery, review exam terms, and account for Google's reschedule and cancellation deadlines.
Use the guide to self-serve, or talk to a coordinator if you need help mapping timelines, official requirements, or troubleshooting day-of logistics.
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