About the PDE Exam
The PDE (Data Engineer) is a Professional-level certification exam. It tests your knowledge across 5 domains: Designing Data Processing Systems (~23%), Ingesting and Processing Data (~19%), Storing and Managing Data (~20%), Preparing Data for Analysis (~19%), Automating Data Workloads (~19%). This study hub provides 5 topic-specific question sets, 1 cheat sheets, 1 flashcard decks, and 3 structured study plans to help you prepare comprehensively.
Google Cloud Certification Paths
Google Cloud certifications are structured into three levels — Foundational, Associate, and Professional. Unlike AWS or Azure, Google does not publish official passing scores; the industry estimate is approximately 70% (700/1000).
Cloud Digital Leader (CDL)
A non-technical certification for decision-makers and business professionals. Covers cloud concepts, Google Cloud products, and how cloud technology drives business transformation. 90-minute exam with 50–60 questions.
ACE & PGWA
Associate Cloud Engineer (ACE) validates hands-on ability to deploy applications, monitor operations, and manage enterprise solutions. Associate Google Workspace Admin (PGWA) covers Workspace configuration and security. Both are 120-minute exams.
9 Specialisations
Professional certifications cover Cloud Architect, Cloud Developer, Data Engineer, Network Engineer, Security Engineer, Database Engineer, DevOps Engineer, and Machine Learning Engineer. Each requires deep expertise in their domain.
Practice Questions by PDE Topic
Study data pipelines, BigQuery, Dataflow, and analytics for the PDE exam.
Practice with Google Cloud Free Tier
Google Cloud offers a generous free tier that's ideal for exam preparation. New accounts receive $300 in credits valid for 90 days, plus always-free tier resources including an e2-micro Compute Engine instance, 5 GB of Cloud Storage, and 1 GB of BigQuery processing per month.
☁️ Cloud Shell
Google Cloud Shell provides a free browser-based terminal with 5 GB of persistent storage and pre-installed tools like gcloud CLI, kubectl, and terraform. Use it for hands-on practice without installing anything locally.
🎓 Google Cloud Skills Boost
Formerly known as Qwiklabs, Skills Boost offers guided labs and learning paths aligned to each certification. Many labs are free and provide temporary GCP projects for hands-on practice.
Exam Domains
The PDE exam has 5 domains: designing, ingesting, storing, analysis, and automation.
Designing Data Processing Systems
Designing batch and streaming data pipelines.
Ingesting and Processing Data
Data ingestion methods and processing.
Storing and Managing Data
Data storage selection and management.
Preparing Data for Analysis
Data preparation and analysis tools.
Automating Data Workloads
Pipeline automation and monitoring.
🎯 Free PDE Mock Exam
Simulate the Google Professional Data Engineer exam.
- ✓ Randomized from 147+ questions
- ✓ 120-minute timer
- ✓ All domains covered
- ✓ Instant scoring (~70% estimated passing)
- ✓ Detailed explanations
- ✓ Unlimited retakes
Flashcards
Interactive Data Engineer flashcards for active recall.
Cheat Sheets
Quick-reference guides for GCP data engineering services.
Study Plans
Structured PDE study plans for every timeline.
What Sets Google Cloud Apart
Google Cloud differentiates itself through its data analytics and machine learning capabilities. BigQuery, Vertex AI, and Cloud Spanner are industry-leading services that frequently appear on GCP certification exams. Understanding Google's approach to global infrastructure — with its premium-tier network and custom-designed TPU chips — is essential for exam success.
GCP exams also emphasise Kubernetes expertise more heavily than other vendors, reflecting Google's role as the creator of Kubernetes. Expect questions on GKE (Google Kubernetes Engine), Anthos for hybrid/multi-cloud management, and Cloud Run for serverless containers.