Microsoft Certified: Fabric Analytics Engineer Associate (DP-600) 2024

Organizations adopting Microsoft Fabric need analytics teams that can turn distributed data into governed, performant models without creating fragile reporting pipelines or relying on outside specialists for every change. This intermediate DP-600 course is a practical fit for IT Directors, Training Managers, and Data Team Leads assigning training to data engineers with roughly 3–5 years of experience.

The course runs about 14 hours, 21 minutes per learner, covering Fabric administration, Dataflows Gen2, data pipelines, lakehouses, warehouses, Spark notebooks, semantic models, DAX, calculation groups, XMLA endpoints, analytics lifecycle practices, and Fabric optimization. For change management, leaders can assign it to teams moving from traditional Azure/Power BI workflows into Fabric, or to practitioners preparing for the Microsoft Certified: Fabric Analytics Engineer Associate (DP-600) exam.

CBT Nuggets supports rollout with team-focused capabilities such as Playlists for assignment structure, Practice Exams for certification readiness where available, and Team Reporting to monitor progress and completion.

IT teams complete this DP-600 training to make Microsoft Fabric adoption more consistent across data engineering and analytics workflows. The course maps to real work such as building ETL processes, connecting lakehouse data to reports, designing semantic models, and tuning Fabric performance.

• Standardize Fabric administration and delivery: Teams build a shared foundation for managing Fabric environments and understanding the analytics lifecycle.
• Improve data pipeline reliability: Data engineers practice ETL concepts across Dataflows Gen2 and more complex data pipelines, reducing ad hoc data movement.
• Support better reporting outcomes: Practitioners learn to query lakehouses, work with warehouses, and build semantic models that reporting teams can consume.
• Reduce performance friction: Teams address optimization topics across Fabric, DAX, semantic models, XMLA endpoints, and calculation groups so analytics workloads are easier to maintain.

Knowledge

• Microsoft Fabric administration concepts and how they fit into an analytics environment
• ETL patterns using Dataflows Gen2 and more complex data pipelines
• Lakehouse and data warehouse roles in Fabric-based analytics solutions
• Semantic model design concepts, DAX fundamentals, calculation groups, and XMLA endpoint usage
• Analytics lifecycle considerations and Fabric optimization priorities

Ability

• Integrate data sources into Microsoft Fabric workflows using dataflows, pipelines, lakehouses, and warehouses
• Build queries and reports on lakehouse data
• Work with Spark notebooks and connect them with Fabric lakehouse scenarios
• Design and refine semantic models for analytics and reporting use cases
• Apply DAX fundamentals and calculation groups to support reusable analytical logic
• Prepare for the Microsoft DP-600 Fabric Analytics Engineer Associate certification exam