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Microsoft DP-700 Exam Prep : Fabric Data Engineer Associate

Course Description

Are you ready to become a Microsoft Certified Fabric Data Engineer Associate (DP-700) with the LATEST 2026 syllabus? Whether you're a complete beginner or a working professional looking to level up, this course will walk you through everything you need to know — with a hands-on, engaging, and practical approach. This course is designed to help YOU PASS the DP-700 exam and MASTER the Fabric platform with confidence. GAIN STRONG HANDS-ON WITH : - OneLake & Shortcuts - Learn how to access data instantly across domains with OneLake’s game-changing shortcuts. - Fabric Data Factory - Build real-time, end-to-end pipelines with powerful visual tools and dataflows. - Lakehouse Architecture - Discover how to combine data engineering and analytics in one powerful environment. - PySpark Development in Notebooks - Use Notebookutils, environment configs, and PySpark magic to build real projects inside Microsoft Fabric - Data Warehouse + T-SQL Mastery - Write complex stored procedures, functions, and T-SQL queries like a pro — with tips, tricks, and real examples. - Real-Time Analytics with KQL - Master Kusto Query Language (KQL) to build blazing-fast real-time dashboards using   Eventstream, Eventhouse, and KQL DB. - CI/CD for Fabric Projects - Automate deployments using Azure DevOps + Fabric Pipelines. - Data Governance Simplified - Understand lineage, endorsements, sensitivity labels and more. - M Language - Build ETL solutions using Power Query M code - Materialized Lake Views - Build modern PySpark workflows using the latest MLV framework. What Makes This Course Different? Super Engaging Lectures – No boring theory! Concepts are explained in a fun, clear, and beginner-friendly way with real-life analogies and visuals. Deep Dive into Every Topic – We don’t just scratch the surface. You'll understand the “why” and “how” behind every feature so you can apply it in real projects and interviews. Strong Hands-On Focus – Learn by doing! From pipelines to notebooks to dashboards, you’ll build real solutions step-by-step, just like a Fabric Data Engineer does.