GCP : Certified Professional Data Engineer Practice Exam
A Data Engineer is someone who has a good knowledge and/or experience in building data solutions including DW and ETL Design , SQL and BI Solutions , Big Data/Data Pipelines and Classical/Statistical Machine Learning and implementing best practices while designing a data solution .
Google Professional Data Engineer Certification tests a candidate on each of the above aspects . It focuses less on the automation ( say platform engineering ) and more on building and designing the architecture for a data solution .
Based on what I recollect , below were the topics covered and their proportions :
Hadoop Ecosystem ( Not GCP Big Data Services ) : 5 %
GCP Big Data Services ( DataFlow , DataProc , BigQuery , BigTable , DataStore , PubSub , DataPrep ) : 40%
ML Concepts : 20 %
GCP ML Services : 5%
Identity and Security : 10%
GCP Relational Data Services ( Cloud SQL and Cloud Spanner ) : 5%
GCP BI ( Data Studio and Excel ) : 5%
Compute and Storage and Data Transfer : 10%
Practice Test Set 1
Practice Test Set 2
Practice Test Set 3
Practice Test Set 4