Google Cloud Professional Data Engineer

Validates ability to design, build, operationalize, and optimize data processing systems on Google Cloud. Covers designing data processing systems for security, reliability, flexibility, and migration; ingesting and processing data through batch and streaming pipelines; selecting storage systems including data warehouses, data lakes, and data platforms; preparing data for analysis and AI/ML; and maintaining and automating data workloads with monitoring and orchestration. 40-50 multiple-choice and multiple-select questions in 2 hours. Recommended 3+ years industry experience; 2-year validity.