Practice Exams: Databricks Data Engineer Professional

About this course

If you looking for practice tests for Databricks Data Engineer Professional certification exam, you have come to the right place! Two practice tests with detailed explanations are available to prepare you before appearing for the actual examThere are 59 multiple-choice questions on each practice exam. The questions will be distributed by high-level topic in the following way: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 Optimisation – 13%Ensuring Data Security and Compliance – 10%Data Governance – 7%Debugging and Deploying – 10%Data Modelling – 6%DurationTesters will have 120 minutes to complete each practice exam.Exam outlineThe practice tests cover the following exam topics with detailed explanations:Section 1: Developing Code for Data Processing using Python and SQLUsing Python and Tools for developmentDesign and implement a scalable Python project structure optimized for Databricks Asset Bundles (DABs), enabling modular development, deployment automation, and CI/CD integration.Manage and troubleshoot external third-party library installations and dependencies in Databricks, including PyPI packages, local wheels, and source archives.Develop User-Defined Functions (UDFs) using Pandas/Python UDFBuilding and Testing an ETL pipeline with Lakeflow Declarative Pipelines, SQL, and Apache Spark on the Databricks platformBuild and manage reliable, production-ready data pipelines, for batch and streaming data using Lakeflow Dec