Databricks Interview Questions and Answers for 2025

Are you preparing for a Databricks interview? In this video, we cover the most commonly asked Databricks interview questions and answers, helping you ace your next data engineering, data science, or analytics interview. 🔹 Topics Covered: ✅ Databricks architecture and key concepts ✅ Differences between Databricks and traditional data warehouses ✅ Spark optimization techniques in Databricks ✅ Delta Lake, MLflow, and Databricks SQL questions ✅ Common coding and scenario-based questions 🔥 Whether you're a beginner or an experienced professional, this guide will give you the confidence to tackle Databricks interviews like a pro! 📌 Don’t forget to like, share, and subscribe for more interview tips! 🚀 Watch now and level up your Databricks interview preparation! 1. What Is Databricks, And What Are Its Key Features? 2. Explain The Core Architecture Of Databricks. 3. How Do You Create And Run A Notebook In Databricks? 4. What Is Delta Lake, And How Does It Improve Data Management In Databricks? 5. Describe The Process Of Data Ingestion In Databricks. 6. What Are Some Best Practices For Optimizing Spark Jobs In Databricks? 7. How Do You Manage Version Control For Notebooks In Databricks? 8. Explain The Difference Between Databricks SQL And Databricks Notebooks. 9. How Do You Set Up And Manage Clusters In Databricks? 10. What Strategies Do You Use For Performance Optimization In Databricks? 11. How Can You Implement CI/CD Pipelines In Databricks? 12. Explain How To Handle Complex Analytics In Databricks. 13. How Do You Deploy Machine Learning Models In Databricks? 14. Describe Your Approach To Designing Data Pipelines In Databricks. 15. How Do You Ensure Data Security And Governance In Databricks? 16. What Is Your Experience With Using Databricks For Real-Time Data Processing? 17. How Do You Integrate Databricks With Other Data Sources Using APIs? 18. Explain The Role Of MLflow In Databricks For Machine Learning Workflows. 19. How Do You Monitor And Troubleshoot Performance Issues In Databricks? 20. What Are The Differences Between Apache Spark And Databricks? 21. How Do You Handle Library Dependencies In Your Databricks Projects? 22. Describe Your Experience With Using Databricks Delta For Streaming Data Applications. 23. How Do You Manage And Monitor Resource Utilization Within Your Databricks Workspace? 24. What Steps Would You Take To Optimize Data Pipeline Performance In Databricks? 25. How Do You Implement And Manage Job Scheduling In Databricks, Specifically For ETL Processes?