Course Description

• A Professional Data Engineer enables data-driven decision making by collecting, transforming, and visualizing data. The Data Engineer designs, builds, maintains, and troubleshoots data processing systems with a particular emphasis on the security, reliability, fault-tolerance, scalability, fidelity, and efficiency of such systems.
• The Data Engineer also analyzes data to gain insight into business outcomes, builds statistical models to support decision-making, and creates machine learning models to automate and simplify key business processes.
• The Google Cloud Certified - Professional Data Engineer exam assesses your ability to:

• Build and maintain data structures and databases
• Design data processing systems
• Analyze data and enable machine learning
• Model business processes for analysis and optimization
• Design for reliability
• Visualize data and advocate policy
• Design for security and compliance

Objectives

• Take the training courses On demand First three courses of the Architecting with Google Cloud Platform Specialization

• Google Cloud Platform Fundamentals: Core Infrastructure
• Architecting with Google Cloud Platform: Infrastructure
• Architecting with Google Cloud Platform: Design and Process

Audience

No audience

Prerequisites

• This exam objectively measures an individual’s ability to demonstrate the critical job skills for the role. To earn this certification you must pass the Professional Data Engineer exam. The format is multiple choice and multiple select and is available in English and Japanese. The exam has no prerequisites. This exam must be taken in-person at one of our testing center locations.

• Locate a test center near you.
• Length: 2 hours
• Registration fee: $200 USD

Content

Get hands-on practice working with Google Cloud technologies. Learn at your own pace with a series of labs that are available on-demand. Start with GCP Essentials followed by the Data Engineering quest.