Microsoft Certified: Fabric Analytics Engineer Associate Certification Logo

Microsoft Certified: Fabric Analytics Engineer Associate Certification

The Microsoft Certified: Fabric Analytics Engineer Associate Certification validates your ability to design, implement, and manage data analytics solutions using Microsoft Fabric. It focuses on data integration, transformation, modeling, and visualization for enterprise-scale analytics. Ideal for data engineers and analysts working with Microsoft’s Fabric platform.

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What is Microsoft Certified: Fabric Analytics Engineer Associate Certification about?

This certification equips professionals with the skills to work with Microsoft Fabric for building modern analytics solutions. It covers data ingestion, preparation, modeling, and visualization, along with implementing pipelines, orchestrations, and monitoring analytics workflows. The course is designed for engineers and analysts who want to transform raw data into actionable insights using Microsoft Fabric services.


Key Features:

  • Hands-on labs with Microsoft Fabric analytics tools
  • 24/7 Support
  • Access to recordings, study materials, and guides
  • Lesson-end quizzes
  • Course-end assessments
  • Real-world analytics and data transformation assignments

What are the objectives of Microsoft Certified: Fabric Analytics Engineer Associate Certification ?

At the end of this training, you will be able to:

  • Design and implement end-to-end analytics solutions using Microsoft Fabric
  • Ingest, clean, and transform structured and unstructured data
  • Build data models and analytical pipelines for reporting and insights
  • Create dashboards and visualizations using Power BI and Fabric tools
  • Monitor, optimize, and maintain analytics solutions
  • Ensure data security, governance, and compliance in analytics workflows
  • Collaborate with business stakeholders to deliver actionable insights

Who is Microsoft Certified: Fabric Analytics Engineer Associate Certification for?

  • Data Engineers
  • Business Intelligence Analysts
  • Analytics Consultants
  • Professionals managing enterprise data and analytics solutions
  • Anyone working with Microsoft Fabric for analytics projects

What are the prerequisites for Microsoft Certified: Fabric Analytics Engineer Associate Certification?

  • Knowledge of data engineering, databases, and analytics concepts
  • Familiarity with Microsoft 365, Power BI, or Azure data services
  • Understanding of data modeling, ETL processes, and reporting
  • Recommended: Experience with cloud-based analytics or data engineering
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Microsoft Certified: Fabric Analytics Engineer Associate Certification - Certification & Exam

To achieve the Microsoft Certified: Fabric Analytics Engineer Associate certification, you must complete the following DP-600 learning paths (as provided on Microsoft Learn):


Learning Paths to Complete:

  1. Get Started with Microsoft Fabric
  2. Learn the core capabilities of Fabric, including lakehouses, warehouses, pipelines, semantic models, and how Fabric unifies analytics workloads.
  3. Ingest and Prepare Data in Microsoft Fabric
  4. Work with Data Factory, lakehouses, shortcuts, pipelines, and dataflows to ingest and transform data for analytics.
  5. Store and Manage Data in Microsoft Fabric
  6. Explore OneLake, Delta tables, lakehouse management, warehouses, and data modeling best practices.
  7. Create and Optimize Data Models in Microsoft Fabric
  8. Build semantic models, optimize relationships, apply DAX, configure performance enhancements, and prepare models for reporting.
  9. Build and Manage Analytics Solutions in Microsoft Fabric
  10. Implement end-to-end analytics solutions, create reports, monitor workloads, and manage lifecycle processes.
  11. Implement Security, Governance, and Compliance in Fabric
  12. Apply workspace roles, governance policies, data protection, cataloging, and organizational security standards.
  13. Monitor, Troubleshoot, and Optimize Fabric Solutions
  14. Diagnose issues, use Fabric monitoring tools, optimize pipelines, enhance performance, and ensure system reliability.