Google Professional Data Engineer Practice Tests

Google Professional Data Engineer Practice Tests provide full exam preparation for data engineers who design, build, and maintain GCP data solutions. The tests cover BigQuery, Dataflow, Dataproc, Pub/Sub, data modeling, storage optimization, ML integration, and pipeline orchestration.

What students will learn:
• Big data pipelines with Dataflow and Dataproc
• BigQuery performance optimization
• Data modeling and governance on GCP
• Machine learning deployment and MLOps
• Monitoring, security, and recovery strategies

Requirements:
• Basic SQL and programming experience
• Familiarity with cloud data tools recommended

Who this course is for:
• Data engineers and analysts
• ML and big data professionals
• Candidates preparing for Google PDE certification