Databricks Certified Data Engineer ProfessionalThe 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.Assessment DetailsType: Proctored certificationTotal number of questions: 60Time limit: 120 minutesRegistration fee: $200Question types: Multiple choiceTest aides: None allowedLanguages: English, 日本語, Português BR, 한국어Delivery 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 every two years to maintain your certified status. To recertify, you must take the current version of the exam. Please review the “Getting Ready for the Exam” section below to prepare for your recertification exam.Unscored content: Exams may include unscored items to gather statistical information for future use. These items are not identified
What you'll learn
Understand and utilize the Databricks platform and its developer tools
Build optimized and cleaned ETL pipelines
Model data in a lakehouse environment
Ensure data pipelines are secure, reliable, monitored, and tested
Course objectives
Prepare for the Databricks Certified Data Engineer Professional certification exam
Gain hands-on experience in data engineering tasks