Practice Test: dbt Analytics Engineering Certification Exam
This practice test is designed to prepare you for dbt Analytics Engineering Certification Exam
With dbt’s Analytics Engineering Certification, you can:
Get recognized for your dbt expertise - by the creators and maintainers of dbt itself.
Stand out to recruiters and hiring managers with a digital badge that demonstrates your knowledge and can be shared on your CV, social profiles, and email signatures.
Tests cover following topics as described in the official study guide:
Topic 1: Developing dbt models
Topic 2: Debugging data modeling errors
Topic 3: Monitoring data pipelines
Topic 4: Implementing dbt tests
Topic 5: Deploying dbt jobs
Topic 6: Creating and Maintaining dbt documentation
Topic 7: Promoting code through version control
Topic 8: Establishing environments in data warehouse for dbt
The dbt Analytics Engineering Certification Exam is designed to evaluate your ability to
● build, test, and maintain models to make data accessible to others
● use dbt to apply engineering principles to analytics infrastructure
The questions are very similar format as you would expect in the exam. These questions are prepared by professionals who has personally obtained the certificate successfully. All answers have relevant link attached as explanation so you can read the documentation yourself. Each test is designed to provide right mix of each topics as you can expect in the exam.
The tests are designed with dbt v1.4 in mind.
Who this course is for:
- Analytics Engineer
- Data Engineer
The instructor has uniquely broad experience with proven track record in building data platforms across multiple technology and industry domains. He has been working on various cloud platforms and various data technologies for more than 18 years. He has certification around AWS and Azure Data Engineering and Data Architect certifications, along with Spark (Hortonworks and Databricks) and Snowflake certifications