Databricks Data Engineer Professional | Section 2 | Data Ingestion & Acquisition | Exam Prep

🚀 Welcome to Section 2 – Data Ingestion & Acquisition of the Databricks Certified Data Engineer Professional Exam Preparation Series. In this section, we cover one of the most important topics for modern data engineers—how data is ingested, acquired, and loaded into the Lakehouse architecture using Databricks. You'll learn the concepts, best practices, and exam-focused scenarios required to confidently answer Databricks certification questions. 📚 Topics Covered ✅ Batch Data Ingestion ✅ Streaming Data Ingestion ✅ Auto Loader ✅ Cloud Storage Integration (ADLS, S3, GCS) ✅ Delta Lake Ingestion Patterns ✅ Working with CSV, JSON, Parquet, Avro, ORC, XML Files ✅ Structured Streaming Fundamentals ✅ Bronze Layer Data Loading ✅ Incremental Data Processing ✅ Real-World Data Engineering Scenarios ✅ Databricks Certification Practice Questions 🎯 Exam Weightage Section 2: Data Ingestion & Acquisition – 7% Databricks Certified Data Engineer Professional, Databricks Professional Certification, Data Ingestion and Acquisition, Databricks Exam Preparation, Databricks Auto Loader, Structured Streaming Databricks, Delta Lake Tutorial, PySpark Data Engineering, Azure Databricks Certification, Databricks Professional Exam, Lakehouse Architecture, Batch and Streaming Ingestion, Databricks Data Engineer Professional 2026