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. 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.
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
- Exam Tips 3 0m
- Designing data processing systems 10m
- Designing flexible data representations 11m
- Design data pipelines 6m
- Cloud Dataflow pipelines 3m
- BigQuery and Cloud Dataflow Solutions 3m
- Design data processing infrastructure 2m
- Cloud Pub/Sub Solutions 2m
- Designing Data Processing Systems 0m
- Practice Exam Questions 1 2m
- Data representations, pipelines, and processing infrastructure 1m
- Building data processing systems 2m
- Cloud Storage, Cloud SQL, Cloud Bigtable 3m
- Building and operationalizing pipelines 2m
- Building and operationalizing processing infrastructure 1m
- Practice Exam Questions 2 3m
- Building and operationalizing pipelines and processing infrastructure 1m
- Building and Operationalizing Data Processing Systems 0m
- Case Study 1 4m
- Case Study 1 0m
- Challenge Lab 1 0m
- Lab: PDE Prep: BigQuery Essentials 0m
- Exam Tips 4 0m
- Designing and Building Data Processing Systems Quiz 0m
- Designing and Building Data Processing Systems Quiz (with answers) 0m
- Analyzing and Modeling 2m
- Deploying an ML pipeline 3m
- Machine Learning 4m
- ML and Unstructured Data 5m
- Training and Validating 3m
- Practice Exam Questions 3 3m
- Machine Learning and Analysis 1m
- Operationalizing Machine Learning Models 0m
- Case Study 2 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
- Business requirements and optimization 1m
- Case Study 3 3m
- Case Study 3 0m
- Challenge Lab 2 0m
- Lab: PDE Prep : Cloud Dataproc Cluster Operations and Maintenance 0m
- Exam Tips 5 0m
- Operationalizing Machine Learning Models Quiz 0m
- Operationalizing Machine Learning Models Quiz (with answers) 0m
- Reliability, Policy, and Security 4m
- Practice Exam Questions 4 2m
- Data visualization and reporting tools 2m
- Designing for security and compliance 4m
- Ensuring Solution Quality 0m
- Practice Exam Questions 5 2m
- Secure data infrastructure and legal compliance 2m
- Exam Tips 6 0m
- Preparing for Reliability, Policy, and Security Quiz 0m
- Preparing for Reliability, Policy, and Security Quiz (with answers) 0m
