Microsoft Fabric represents a paradigm shift in enterprise analytics—unifying data engineering, data warehousing, and business intelligence into a single, cohesive SaaS ecosystem. This course is your definitive guide to mastering that ecosystem, moving beyond theoretical concepts to the practical implementation required to earn the Fabric Analytics Engineer Associate certification.

Microsoft Fabric Analytics Engineer: DP-600 Exam Prep
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What you'll learn
Analyze structured and streaming data by executing T-SQL, KQL, and DAX queries across Fabric Warehouses, Eventhouse, and Power BI semantic models.
Build scalable data pipelines and Medallion architectures by applying Delta Lake, Dataflows Gen2, and Apache Spark transformation techniques.
Implement enterprise security frameworks including RLS, OLS, and Microsoft Purview governance aligned with DP-600 compliance standards.
Design analytics architectures by integrating core Microsoft Fabric components into unified, high-performance solutions.
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March 2026
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There are 7 modules in this course
Uncover how Microsoft Fabric unifies enterprise analytics within a single, cohesive platform. This module examines its core architecture and workflows, enabling scalable engineering, intelligent OneLake storage, and seamless analytical experiences.
What's included
15 videos7 readings4 assignments
Step into the core of modern data engineering with Microsoft Fabric. This module empowers you to design scalable pipelines, build intelligent ETL workflows with Dataflows Gen2, and implement Medallion Architecture for structured lakehouse design. Learn to orchestrate, transform, and optimize data workflows that power reliable, enterprise-grade analytics solutions.
What's included
13 videos4 readings4 assignments
Dive into the backbone of enterprise analytics through modern data warehousing, real-time intelligence, and data science. This module enables you to design scalable architectures, implement dimensional models, secure and monitor workloads, and operationalize advanced analytics within a unified platform.
What's included
20 videos7 readings5 assignments
Strengthen business intelligence expertise through advanced semantic modeling in Microsoft Fabric. This module focuses on DAX development, model architecture, relationship management, performance optimization, and scalable reporting design, equipping you to deliver enterprise-ready analytics solutions aligned with DP-600 certification expectations.
What's included
13 videos6 readings4 assignments
Fortify and Future-Proof Your Fabric Environment. Implement RLS, OLS, and Purview governance while mastering monitoring, optimization, and compliance for real-world readiness.
What's included
11 videos7 readings4 assignments
Ace the DP-600 Exam. Gain exam-day confidence with a laser-focused plan covering architecture, security, governance, and optimization. Packed with decision guides, real-world scenarios, targeted practice questions, and full-length mock exams to simulate the real thing and guarantee certification success.
What's included
6 videos3 readings2 assignments
Accelerate your path to DP-600 certification with a comprehensive Microsoft Fabric course covering data engineering, modern warehousing, real-time intelligence, data factory, power bi, and AI-powered analytics. Build the expertise to design secure, scalable, and high-performance enterprise solutions.
What's included
1 video1 reading2 assignments1 discussion prompt
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Frequently asked questions
The DP-600 exam, officially titled Implementing Analytics Solutions Using Microsoft Fabric, validates your skills as a Microsoft Fabric Analytics Engineer Associate. This course is ideal for analytics engineers, data professionals, BI developers, and Azure data architects who want to earn the certification and build production-ready Fabric solutions.
Yes. This course is purpose-mapped to all DP-600 exam domains, including data ingestion and transformation, Lakehouse and Warehouse implementation, semantic model design, real-time analytics using KQL and Eventhouse, and enterprise security and governance with Microsoft Purview.
A working knowledge of SQL and basic data concepts is recommended. Familiarity with Azure services or Power BI will help you progress faster, though the course is structured to build up concepts progressively for intermediate-level learners.
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¹ Some assignments in this course are AI-graded. For these assignments, your data will be used in accordance with Coursera's Privacy Notice.


