Preparing for the Google Cloud Professional Data Engineer Exam
The purpose of this course is to help those who are qualified develop confidence to attempt the exam, and to help those not yet qualified to develop their own plan for preparation.
What you'll learn
The purpose of this course is to help those who are qualified develop confidence to attempt the exam, and to help those not yet qualified to develop their own plan for preparation.
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 Dataflow solutions 3m
- Design data processing infrastructure 2m
- 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 4m
- Building and Operationalizing Data Processing Systems: Exam Guide Review 0m
- Case study 01 4m
- Case Study 1 0m
- Challenge Lab 01 Intro 0m
- Lab: PDE Prep: BigQuery Essentials 0m
- Exam Tips #4 0m
- Getting Started With GCP And Qwiklabs 4m
- 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 Intro 0m
- Lab: PDE Prep : Cloud Dataproc Cluster Operations and Maintenance 0m
- Exam Tips #5 0m
Course FAQ
In this course you will learn and review the material on the Google Cloud Professional Data Engineer Exam in order to take and pass the test.
This course is for data engineers looking to earn thier Google Cloud Certification by passing the data engineer exam.
A data processing system is a combination of machines, people, and processes that for a set of inputs produces a defined set of outputs.
Before taking this course you should be familiar with Google Cloud and have understand the basics.
Some benefits of having a Google Cloud Certficiation include: building your professional network, receiving Google Cloud certification merchandise for each professional certification earned, and exclusive invites to virtual and in-person industry events hosted by Google Cloud.
