GCP PDEexam prep · Google Cloud · advanced
Google Cloud Professional Data Engineer
Prepare for the Google Cloud Professional Data Engineer certification with hands-on coverage of BigQuery, Dataflow, Pub/Sub, Bigtable, Spanner, Vertex AI, and Cloud Composer. Build production-grade data pipelines, architect storage solutions for scale, and master data governance using Dataplex — all aligned to the official GCP PDE exam domains.
- 13 hours
- 26 lessons
- 6 modules
- 50-question practice exam
- updated August 2026
Mapped to the GCP PDE exam guide
Every module is tagged with the exam domain it covers.
Try it before you sign up
Read a full lesson and answer 3 questions from the Module 1 quiz. No account needed.
BigQuery Architecture and the Dremel Execution Engine
6 modules, 26 lessons
Module 1 is free — lessons, hands-on walkthrough and quiz. The course ends with a 50-question practice exam.
- readBigQuery Architecture and the Dremel Execution Engine30 min
- videoBigQuery Architecture: Inside Dremel, Borg, Colossus25 min
- hands-onHands-On: Query Optimization with Partitioning and Clustering25 min
- quizModule 1 Quiz: Designing Data Processing Systems10 min
Built by the CloudaQube team
No celebrity instructor — here is exactly what goes into the course instead.
- 01 Follows the official GCP PDE exam guide — every module is tagged with the exam domain it covers.
- 02 7 guided hands-on walkthroughs you run in your own Google Cloud project.
- 03 6 module quizzes and a 50-question practice exam — every answer comes with an explanation.
- 04 Last updated August 2026.
- 05 Any module can become a hands-on lab in Labs Studio.
What you'll be able to do
- 01 Explain BigQuery's Dremel-based distributed query architecture and columnar storage model
- 02 Identify the correct GCP storage service for OLTP, analytics, time-series, and globally consistent workloads
- 03 Build streaming and batch data pipelines using Apache Beam on Cloud Dataflow with Pub/Sub as the message layer
- 04 Apply BigQuery ML to train, evaluate, and deploy machine learning models using SQL
- 05 Automate data workflows using Cloud Composer DAGs and implement idempotent, retry-safe pipeline patterns
- 06 Evaluate data quality, lineage, and governance policies using Dataplex Universal Catalog across distributed data assets
- — Hands-on experience with at least one cloud platform (AWS, Azure, or GCP basics)
- — SQL proficiency including window functions and aggregate queries
- — Familiarity with Python for scripting data pipelines
- — Basic understanding of distributed systems concepts (partitioning, replication, consistency)
- — Google Cloud Associate Cloud Engineer certification or equivalent practical experience
Before you start GCP PDE
Is this course current for the GCP PDE exam?
It follows the current GCP PDE exam guide — all 6 exam domains, with the weights shown on this page, and was last updated August 2026.
How do I book the GCP PDE exam, and what does it cost?
You book it directly with Google Cloud. The official exam page lists the current fee, format, length and passing score, which can vary by country.
Is this an exam dump?
No. The lessons and quiz questions are written to teach the exam objectives, and every answer comes with an explanation. Real exam questions (“dumps”) break the exam provider’s candidate agreement and can cost you the certification.
What do I need for the hands-on walkthroughs?
A Google Cloud project with billing enabled — the free trial credit covers most walkthroughs. Delete what you create when you finish so you don’t keep paying.
How long does it take?
About 13 hours of lessons, videos and hands-on walkthroughs across 6 modules, plus a 50-question practice exam.
What’s free?
Module 1 in full — lessons, hands-on walkthrough and quiz — with no card required. Any paid plan (from $8.99/mo) unlocks all 6 modules and the practice exam, and starts with a 14-day free trial.
Start GCP PDE with Module 1 free.
No card required. Unlock every module and the practice exam from $8.99/mo when you’re ready.