Cover Image for Let’s Get Certified: DP-600 - Microsoft Fabric Analytics Engineer Associate Event
Cover Image for Let’s Get Certified: DP-600 - Microsoft Fabric Analytics Engineer Associate Event
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Let’s Get Certified: DP-600 - Microsoft Fabric Analytics Engineer Associate Event

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About Event

β€‹πŸ“… Thursday, November 12, 2026
⏰ 6:30 – 10:45 AM ET | 7:30 – 11:45 PM PHT | 5:00 – 9:15 PM IST | 12:30 – 4:45 PM WAT
πŸ“ Virtual Event
πŸ’° Free


​About This Event

​The DP-600: Microsoft Fabric Analytics Engineer Associate certification validates the skills needed to design, build, and manage enterprise-scale analytics solutions using Microsoft Fabric.

​This community learning event focuses on the analytics engineering skills measured on the DP-600 exam, including preparing and enriching data, implementing and managing semantic models, and maintaining analytics solutions.

​Each session gives you an important building block for your exam preparation, so by the end of the event you'll have a clearer picture of how raw data becomes trusted, governed semantic models and reports in Microsoft Fabric.

​This event is part of the Microsoft Student Ambassador community learning series, designed to help students and early-career technologists prepare for Microsoft certifications while building real technical skills.


​Who Should Attend

  • ​Microsoft Student Ambassadors exploring Microsoft Fabric

  • ​Students preparing for the DP-600 certification

  • ​Power BI and Excel users expanding into analytics engineering

  • ​Data analysts and analytics engineers working with Microsoft technologies

  • ​Developers exploring the Microsoft analytics ecosystem

  • ​Anyone interested in building modern analytics platforms using Microsoft Fabric


​What You'll Learn

  • ​How the DP-600 exam is structured and what it measures

  • ​How Microsoft Fabric supports end-to-end analytics workflows, from data preparation to reporting

  • ​How to prepare and enrich data for analytics in Fabric lakehouses and warehouses

  • ​How to design and implement semantic models that support reporting and self-service analytics

  • ​How DAX and SQL are used in analytics environments, and where KQL fits for certain scenarios

  • ​How to monitor, secure, and maintain analytics assets in Fabric

  • ​Practical approaches to preparing effectively for the DP-600 certification exam


​Agenda

​Opening Session β€” 30 Minutes
The Fabric Analytics Mindset and DP-600 Overview
πŸ“Ί YouTube Livestream (link + replay available)
πŸ•’ 6:30 – 7:00 AM ET | 7:30 – 8:00 PM PHT | 5:00 – 5:30 PM IST | 12:30 – 1:00 PM WAT

​This opening session introduces the role of the Fabric analytics engineer and explains how the rest of the event maps to the skills measured on the DP-600 exam.

​Topics include:

  • ​Understanding the Fabric analytics ecosystem and core workloads

  • ​How analytics engineers collaborate with data engineers, analysts, and stakeholders

  • ​How the exam domainsβ€”prepare data, implement and manage semantic models, and maintain a data analytics solutionβ€”reflect real-world scenarios


​Session 1 β€” 45 Minutes
Preparing Data for Analytics in Microsoft Fabric
πŸ“Ί YouTube Livestream (link + replay available)
πŸ•’ 7:00 – 7:45 AM ET | 8:00 – 8:45 PM PHT | 5:30 – 6:15 PM IST | 1:00 – 1:45 PM WAT

​This session focuses on preparing and shaping data for analytics workloads in Fabric.

​Topics include:

  • ​Working with lakehouses and warehouses in Fabric for analytics scenarios

  • ​Querying and preparing datasets using SQL in Fabric

  • ​Data transformation strategies that support semantic models and reports

  • ​Preparing datasets for star-schema modeling

  • ​Ensuring data quality, profiling, and consistency before modeling


​Session 2 β€” 45 Minutes
Designing Semantic Models for Analytics
πŸ“Ί YouTube Livestream (link + replay available)
πŸ•’ 7:45 – 8:30 AM ET | 8:45 – 9:30 PM PHT | 6:15 – 7:00 PM IST | 1:45 – 2:30 PM WAT

​Semantic models are the foundation of analytics solutions in Fabric.

​Topics include:

  • ​Understanding semantic models and datasets in Microsoft Fabric

  • ​Designing star schemas for analytics, including fact and dimension tables

  • ​Creating and managing relationships between tables

  • ​Modeling data for reports, dashboards, and self-service analytics

  • ​Avoiding common modeling mistakes that impact performance and usability


​Session 3 β€” 45 Minutes
Analytics with DAX and Data Modeling Techniques
πŸ“Ί YouTube Livestream (link + replay available)
πŸ•’ 8:30 – 9:15 AM ET | 9:30 – 10:15 PM PHT | 7:00 – 7:45 PM IST | 2:30 – 3:15 PM WAT

​This session focuses on how analytics engineers use calculations and measures to deliver insights from semantic models.

​Topics include:

  • ​Core DAX concepts used in analytics environments (measures vs calculated columns, filter context, row context)

  • ​Creating measures and calculated columns for business logic

  • ​Filtering and aggregation techniques for real analytics scenarios

  • ​Using DAX for advanced analytics patterns and time intelligence

  • ​Performance considerations in semantic models, including optimization best practices


​Session 4 β€” 45 Minutes
Analytics Experiences with Power BI and Excel
πŸ“Ί YouTube Livestream (link + replay available)
πŸ•’ 9:15 – 10:00 AM ET | 10:15 – 11:00 PM PHT | 7:45 – 8:30 PM IST | 3:15 – 4:00 PM WAT

​This session focuses on turning semantic models into usable analytics experiences in Power BI and Excel.

​Topics include:

  • ​Connecting Power BI to Fabric semantic models and datasets

  • ​Designing reports and dashboards that align with business questions

  • ​Connecting Excel to Fabric semantic models

  • ​Using PivotTables and analytics tools in Excel with Fabric data

  • ​Supporting self-service analytics for business users while keeping models governed


​Session 5 β€” 45 Minutes
Maintaining Analytics Solutions and DP-600 Exam Strategy
πŸ“Ί YouTube Livestream (link + replay available)
πŸ•’ 10:00 – 10:45 AM ET | 11:00 – 11:45 PM PHT | 8:30 – 9:15 PM IST | 4:00 – 4:45 PM WAT

​The final session focuses on governance, maintenance, and exam readiness.

​Topics include:

  • ​Monitoring analytics assets and refresh operations in Fabric

  • ​Managing performance and optimization for semantic models and reports

  • ​Security and governance considerations, including access controls and sensitivity labels

  • ​Common pitfalls and misconceptions learners encounter when preparing for DP-600

  • ​Effective study strategies, practice resources, and next steps after the exam

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