Professional Cloud Developer (PCD): Complete Guide (2026)

Professional Cloud Developer (PCD) is Google Cloud's Professional-level exam aimed at application developers. It focuses on cloud-native development with Cloud Run / GKE / Cloud Functions, CI/CD with Cloud Build, and observability through Cloud Trace / Profiler. The key is balancing actual coding skills with deep knowledge of GCP managed-service APIs.

Exam Specifications (2026 Edition)

Item	Details
Official name	Google Cloud Certified - Professional Cloud Developer
Exam fee	USD 200 (excl. tax)
Duration	2 hours
Questions	50-60 questions
Passing score	Not published
Languages	Japanese, English
Validity	2 years
Recommended experience	3+ years industry experience + 1+ year of GCP app development

Exam Domains (5 Sections)

Section	Theme
1	Designing highly scalable, available, and reliable cloud-native applications
2	Building and testing applications
3	Deploying applications
4	Integrating with Google Cloud services
5	Monitoring and troubleshooting application performance

Key Services Covered

Compute: Cloud Run, Cloud Run jobs, GKE Autopilot / Standard, Cloud Functions (2nd gen), App Engine
CI/CD: Cloud Build, Artifact Registry, Cloud Deploy, Skaffold
Databases: Firestore, Cloud SQL, Spanner, Memorystore (Redis)
Messaging: Pub/Sub, Cloud Tasks, Cloud Scheduler, Workflows, Eventarc
Security: Secret Manager, IAM, Workload Identity, IAP
Observability: Cloud Logging, Cloud Monitoring, Cloud Trace, Cloud Profiler, Error Reporting
API management: Apigee, Cloud Endpoints, API Gateway

Comparison with Other Cloud Developer Exams

Item	GCP PCD	AWS DVA-C02	Azure AZ-204
Exam fee	USD 200	USD 150	USD 165
Duration	120 min	130 min	120 min
Primary compute	Cloud Run / GKE	Lambda	App Service / Functions
Primary database	Firestore	DynamoDB	Cosmos DB
Difficulty	★★★★☆	★★★☆☆	★★★☆☆

Study Roadmap (80-150 Hours)

Stage 1 (20 hours): Review the ACE scope and do hands-on labs with Cloud Run / GKE
Stage 2 (30 hours): Complete the Skill Boost Cloud Developer Learning Path
Stage 3 (30 hours): Build a real CI/CD pipeline with Cloud Build, Artifact Registry, and Cloud Deploy
Stage 4 (20 hours): Master observability (Trace / Profiler / Error Reporting) and the differences between Pub/Sub Push and Pull
Stage 5 (20 hours): Hit 80% on practice exams and deep-dive into the official docs for weak areas

Go-To Study Resources

Official Skill Boost: Cloud Developer Learning Path
Coursera: Developing Applications with Google Cloud Specialization
Udemy: PCD courses by Dan Sullivan / Ranga Karanam
Practice exams: official Practice Exam, Whizlabs
Official documentation: close reading of Cloud Run / GKE / Cloud Build

Next Steps

PCDOE: Learn SRE implementation from a DevOps perspective
PCA: Round out your architecture skills to take on upstream work
Multi-cloud developer: Combine with AWS DVA / AZ-204 to master development practices across every major cloud

Do I need to be able to write code for PCD?

Yes. You are expected to read Cloud Functions / Cloud Run / GKE code written in Python, Go, Java, or Node.js. The exam tests proper use of GCP APIs and SDKs more than deep algorithmic skill.

How does PCD differ from PCA?

PCA centers on architecture and business requirements, while PCD centers on implementation, CI/CD, and code optimization. The classic combination is PCA for the big picture and PCD for app-level implementation skills.

What are the exam fee and duration?

USD 200, 2 hours, 50-60 questions. Available in Japanese and English, with a 2-year validity period.

How much of the exam covers GKE and Cloud Run?

Both are core topics. Cloud Run's pay-per-use model, GKE Autopilot vs Standard, Workload Identity, and CI/CD integration with Cloud Build appear frequently.

How does PCD compare with AWS DVA-C02 and Azure AZ-204?

AWS DVA focuses on Lambda / DynamoDB, AZ-204 on App Service / Functions / Cosmos, and PCD on Cloud Run / GKE / Firestore / Pub/Sub. Earning all three covers virtually every major serverless platform.

Are Cloud Trace and Cloud Profiler on the exam?

Yes. Microservice observability (traces, logs, metrics) and Error Reporting alert configuration come up often. Make sure to understand OpenTelemetry concepts as well.

How much study time should I plan for?

Roughly 80-120 hours if you have 1 year of GCP experience and 3 years of development experience, or 150-200 hours if you are starting fresh.

Which study materials are recommended?

Skill Boost's Cloud Developer Learning Path, the Coursera specialization, and Udemy courses (Dan Sullivan / Ranga Karanam) are the standards. Books are relatively scarce, so close reading of the official documentation is essential.

Check what you learned with practice questions

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Author

NicheeLab Editorial Team

NicheeLab editorial team focused on data engineering and cloud certification learning. Content is structured around practical study needs and official exam domains.

GCP Professional Cloud Developer (PCD) Complete Guide: Cloud Run, GKE, CI/CD & APM