Google Professional Data Engineer Practice Exam Questions

This course will prepare you to pass the Google Professional Data Engineer certification exam on your first attempt. We take a clear, hands-on approach to each exam objective, ensuring you gain real-world experience with Google Cloud’s powerful data engineering tools and services.

My teaching style is engaging and easy to follow, designed to break down complex data engineering concepts and make them simple to understand—even if you're still building your cloud experience. Throughout the course, we’ll walk through practical scenarios, use cases, and hands-on labs, so you can confidently apply what you learn—not just to pass the exam, but to design and manage scalable, secure, and intelligent data solutions on Google Cloud.

This course covers the following topics:

Designing Data Processing Systems
Ingesting and Processing the Data
Storing the Data
Preparing and Using Data for Analysis
Maintaining and Automating Data Workloads

What You Will Learn in This Course:

• Master all topics required for the Google Professional Data Engineer certification

• Design scalable, reliable, and secure data pipelines using GCP services like Pub/Sub, Dataflow, and Dataproc

• Ingest, process, and transform structured and unstructured data efficiently

• Store and manage data using BigQuery, Cloud Storage, and Bigtable

• Enable data-driven decision making with machine learning models and analytics tools

• Automate and optimize data workflows with Cloud Composer and Data Catalog

• Prepare for the certification exam with confidence through guided lessons and real-world examples

This Course Includes:

• Over 30 lectures covering all exam objectives

• Downloadable study guides and revision notes

• Hands-on labs and real-world data engineering projects

• Certificate of Completion

• Lifetime access to all course content

• 30-day money-back guarantee — no risk, all reward!