2025: Databricks Data Engineer Professional Practice Exams

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:Databricks Tooling – 20%Data Processing – 30%Data Modeling – 20%Security and Governance – 10%Monitoring and Logging – 10%Testing and Deployment – 10%Assessment DetailsType: Proctored certificationTotal number of questions: 60Time limit: 120 minutesRegistration fee: $200Question types: Multiple choiceTest aides: None allowedLanguages: EnglishDelivery method: Online proctoredPrerequisites: None, but related training highly recommendedRecommended experience: 1+ years of hands-on experience performing the data engineering tasks outlined in the exam guideValidity period: 2 yearsRecertification: Recertification is required to maintain your certification status. Databricks Certifications are valid for two years from issue date.Unscored content: Exams may include unscored items to