Practice Exams: Databricks Data Engineer Professional

About this course

If you’re preparing for the Databricks Certified Data Engineer Professional certification exam, you’ve come to the right place!This course offers three full-length practice tests, each with detailed explanations, to help you assess your readiness and build confidence before taking the actual exam.Practice Test OverviewEach practice exam contains 65 multiple-choice questions, designed to reflect the real exam format and difficulty level.The questions are distributed across the following high-level topics:Developing Code for Data Processing using Python and SQL – 22%Data Ingestion & Acquisition – 7%Data Transformation, Cleansing, and Quality – 10%Data Sharing and Federation – 5%Monitoring and Alerting – 10%Cost & Performance Optimization – 13%Ensuring Data Security and Compliance – 10%Data Governance – 7%Debugging and Deploying – 10%Data Modeling – 6%Duration: You’ll have 120 minutes to complete each practice test.Exam Coverage and Detailed TopicsEach practice test includes comprehensive coverage of all exam domains, ensuring a complete preparation experience.Section 1: Developing Code for Data Processing using Python and SQLUse Python and Databricks tools for scalable development.Design modular Databricks Asset Bundles (DABs) to enable CI/CD and deployment automation.Manage third-party library installations (PyPI, local wheels, source archives).Develop Pandas/Python UDFs for custom transformations.Build and test ETL pipelines using LakeFlow Declarative Pipelines, SQL, and Spark.Automate ETL workloads using Jobs through the UI, APIs, or CLI