GCP Prep
ProfessionalDeveloperDevOps

Professional Cloud Developer

Professional Cloud Developer covers designing, building, testing and deploying scalable and reliable applications on Google Cloud. Unlike the Architect exam it stays close to code: application patterns, service integration, deployment strategies and operating what you have shipped.

Study GuidePractice Test

Overview

This is the most practitioner-shaped Professional exam. If you write and deploy application code for a living, much of it will feel like a description of your working week.

Two areas separate people who pass comfortably from people who scrape through. The first is service integration: knowing which managed service to reach for and how to wire it up safely. The second is operating what you deploy — structured logging, tracing, error reporting and debugging a live service.

Expect meaningful coverage of application security, especially service accounts, workload identity and secret handling. Questions here often have one answer that works and one answer that works securely.

Level
Professional
Exam length
120 minutes
Questions
50–60 multiple choice and multiple select
Registration fee
USD $200 (plus tax where applicable)
Valid for
2 years
Delivery
Online proctored, or onsite at a test centre
Recommended experience (official)
Google recommends 3+ years of industry experience, including 1+ year building and managing solutions on Google Cloud.

Our difficulty rating

4/5

Our recommended preparation

8–12weeks

Difficulty and preparation time are GCP Prep's own editorial assessments, not official figures.

Who Should Take This Certification?

  • Backend and full-stack engineers building on Google Cloud
  • Developers who own their services in production
  • Platform engineers supporting application teams
  • Engineers moving from a traditional server environment to managed runtimes

Skills Covered

  • Designing stateless, horizontally scalable application architectures
  • Building containerised services and deploying to managed runtimes
  • Application-level security, secrets handling and service identity
  • Integrating managed services: messaging, storage, databases and caching
  • Deployment strategies including blue/green and canary releases
  • Instrumentation, structured logging, tracing and debugging in production

Exam Topics

Weightings are shown only where they are officially published — we do not estimate them.

1.Designing highly scalable, available and reliable cloud-native applications

~29%
  • Designing performant applications and choosing an appropriate runtime
  • Statelessness, idempotency and graceful degradation
  • Handling failure: retries with backoff, circuit breakers and dead-letter queues
  • API design, versioning and backward compatibility
  • Choosing storage and data access patterns for an application

2.Building and testing applications

~19%
  • Local development, emulators and testing against managed services
  • Unit, integration and load testing strategy
  • Building container images and managing dependencies
  • Handling secrets and configuration outside the code

3.Deploying applications

~15%
  • Deploying to Cloud Run, GKE and App Engine and choosing between them
  • Blue/green, canary and rolling deployment strategies
  • Traffic splitting and progressive rollout
  • Build pipelines and artefact management

4.Integrating Google Cloud services

~24%
  • Asynchronous communication with Pub/Sub and event-driven patterns
  • Reading and writing data across Cloud Storage, Cloud SQL, Firestore and Spanner
  • Caching strategies and in-memory data stores
  • Service-to-service authentication and workload identity
  • Consuming APIs, managing quotas and handling rate limits

5.Managing deployed applications

~13%
  • Structured logging and log-based metrics
  • Distributed tracing and latency analysis
  • Error reporting and alerting on symptoms rather than causes
  • Debugging a running production service safely

Preparation Roadmap

Our suggested order of study. Tick steps as you complete them — progress is saved in this browser.

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  1. Runtime selection

    Cloud Run, GKE and App Engine — their scaling models, cold start behaviour, cost profile and the workloads each suits.

  2. Application design patterns

    Statelessness, idempotency, retries, backoff and graceful degradation. These recur throughout the exam.

  3. Data access from applications

    Connection management, transactions, consistency models and choosing the right store for an access pattern.

  4. Event-driven architecture

    Pub/Sub delivery semantics, ordering, dead-letter topics and at-least-once handling. Reliably tested.

  5. Application security

    Service accounts, workload identity, secret management and least privilege from the application's point of view.

  6. CI/CD and deployment strategies

    Build pipelines, artefact registries, and traffic-splitting rollouts including canary and blue/green.

  7. Observability

    Structured logs, log-based metrics, traces, error reporting, and how to debug a live service.

  8. Practice questions and mock exams

    Drill service-integration and observability questions especially — they carry disproportionate weight.

Certification ready

Study Resources

Learning-hub topics that cover this certification's material, written by us.

Official documentation and training remain the authoritative source for exam content. Our material explains concepts in our own words and is designed to sit alongside it, not replace it.

Practice Questions & Mock Exam

We have 17 original questions relevant to this certification, each with an explanation of why the correct answer is correct and why every distractor is not.

Practice test

Work through questions at your own pace with immediate explanations.

Timed mock exam

Full-length, timed, with results and per-topic breakdown at the end.

Career Opportunities

Cloud Application Developer

Build and operate services on managed runtimes.

Backend Engineer

Strong differentiator for backend roles at organisations standardised on Google Cloud.

Platform Engineer

Build the paved road other application teams deploy onto.

Explore career resources

Frequently Asked Questions

Do I need to be able to code to pass?
Yes, in the sense that you need to think like someone who writes services. The exam does not ask you to write code from scratch, but it assumes you understand application patterns, dependency management, testing and debugging from the inside.
Which language should I know?
The exam is language-agnostic. Client library patterns are broadly similar across languages, so any one you are fluent in is fine. Being able to read a snippet in an unfamiliar language helps.
Is this easier than Professional Cloud Architect?
For working developers, usually yes — the scenarios are shorter and closer to daily practice. For people without application development experience, it is harder, because the exam assumes instincts you build by shipping software.
How much Kubernetes do I need?
Enough to deploy, expose, scale and debug a workload, and to understand how it differs from a fully managed runtime. Cluster design depth belongs to the DevOps and Architect exams.