Preparing for the Google Cloud Professional Data Engineer Exam
This course helps prospective candidates structure their preparation for the Professional Data Engineer exam. The session will cover the structure and format of the examination, as well as its relationship to other Google Cloud certifications.
What you'll learn
This course helps prospective candidates structure their preparation for the Professional Data Engineer exam. The session will cover the structure and format of the examination, as well as its relationship to other Google Cloud certifications. Through lectures, quizzes, and discussions, candidates will familiarize themselves with the domain covered by the examination, so as to help them devise a preparation strategy. Rehearses useful skills including exam question reasoning and case comprehension. Tips. Review of topics from the Data Engineering curriculum.
Table of contents
- Designing and building 10m
- Design flexible data representations 10m
- Exam Tips #3 0m
- Design data pipelines 6m
- Dataflow pipelines 3m
- BigQuery and Cloud Dataflow solutions 3m
- Design data processing infrastructure 2m
- Cloud Pub-Sub solutions 2m
- Practice exam questions 01 2m
- Designing Data Processing Systems: Exam Guide Review 0m
- Building data processing systems 2m
- Cloud Storage, Cloud SQL, Cloud Bigtable 3m
- Building and maintaining pipelines 2m
- Building and maintaining processing infrastructure 1m
- Practice exam questions 02 3m
- Building and Operationalizing Data Processing Systems: Exam Guide Review 0m
- Case study 01 4m
- Case Study 1 0m
- Challenge lab 01 0m
- Exam Tips #4 0m
- Analyzing and modeling 2m
- Analyzing data 3m
- Machine learning 4m
- Machine learning and unstructured data 5m
- Training and validating 3m
- Practice exam questions 03 3m
- Operationalizing Machine Learning Models: Exam Guide Review 0m
- Case study 02 4m
- Case Study 2 0m
- Modeling business processes for analysis and optimization 3m
- Feature engineering and performance 2m
- Schema and performance 2m
- Pipeline and performance 2m
- Dividing work 2m
- Bigtable performance 4m
- Price estimation 1m
- Case study 03 3m
- Case Study 3 0m
- Challenge lab 02 0m
- Exam Tips #5 0m