Machine Learning From Scratch

In this section, we are focusing on advanced Delta Lake optimization, streaming-static joins, Unity Catalog security features, and Databricks SQL alerting. 🛡️ Part 26: Unity Catalog Row & Column Security Question 41: Dynamic Data Masking A company policy dictates that only members of the hr_team group are allowed to see the actual values in the… Read more

In this section, we dive deep into Change Data Capture (CDC) with Delta Live Tables, Spark memory management, Databricks Workflows routing, and secure data sharing. Let’s keep crushing it! 🔄 Part 16: Delta Live Tables (DLT) & CDC Question 31: Handling Change Data Capture (CDC) A data engineer is building a Delta Live Tables (DLT)… Read more

In this section, we tackle advanced ingestion with Auto Loader, Spark internals, Delta Live Tables (DLT) architectures, and Databricks Workflows. Let’s keep the momentum going! 📥 Part 10: Advanced Auto Loader & Streaming Question 21: Handling Evolving Schemas A data engineer is using Auto Loader to ingest JSON files. The upstream team frequently adds new… Read more

🌊 Part 5: Delta Lake Mechanics Question 11: Accidental Data Deletion A junior data engineer accidentally ran a DELETE statement that removed millions of valid rows from a Delta table named sales_prod exactly two hours ago. The table has not been VACUUMed. Which Databricks SQL command should you use to recover the data? ✅ Correct… Read more

Preparing for a Databricks Data Engineering certification? Mastering the concepts is only half the battle; you also need to know how to navigate tricky multiple-choice scenarios. In this post, we’ll break down 10 real-world exam-style questions covering PySpark, Unity Catalog, Databricks Workflows, and Performance Optimization. More importantly, we won’t just give you the answers—we’ll explain… Read more