Databricks Data Engineer Professional Practice Exam

The Databricks Certified Data Engineer Professional certification exam assesses an individual’s ability to use Databricks to perform advanced data engineering tasks. This includes an understanding of the Databricks platform and developer tools like Apache Spark, Delta Lake, MLflow, and the Databricks CLI and REST API. It also assesses the ability to build optimized and cleaned ETL pipelines. Additionally, the ability to model data into a lakehouse using knowledge of general data modeling concepts will be assessed. Finally, being able to ensure that data pipelines are secure, reliable, monitored and tested before deployment will also be included in this exam. Individuals who pass this certification exam can be expected to complete advanced data engineering tasks using Databricks and its associated tools.

The exam covers:

1. Databricks Tooling – 20%

2. Data Processing – 30%

3. Data Modeling – 20%

4. Security and Governance – 10%

5. Monitoring and Logging – 10%

6. Testing and Deployment – 10%

Type Proctored certification

Total number of questions  60

Time limit 120 minutes

Question types Multiple choice

Languages English

Prerequisites None, but related training highly recommended

Recommended experience 1  years of hands-on experience performing the data engineering tasks outlined in the exam guide

Code examples in this exam will primarily be in Python. However, any and all references to Delta Lake functionality will be made in SQL.