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grdelgado
Frequent Visitor

study sources

Hello.  

I'm studying for DP-300, DP-600, and DP-700.  

 

Could someone share sources that can help me study for each one.  So many to choose from.  I have datacamp and i got the oreylly books for dp-300 and dp-600, i was surprised how thin there were.  i would have to complement these books, i see youtube has a lot of videos, some outdated and udemy as well.  

 

Thank you for your help 

3 REPLIES 3

I used the official Skills Outline for DP‑300, DP‑600, and DP‑700 and practiced each listed task once in Azure/Fabric, and added Udemy as extra study.

GilbertQ
Super User
Super User

Hi @grdelgado 

 

yes. Just to confirm that before I wrote any of the above exams, I had been working with the product for at least two years every day and that helped me ensure that I passed the exams 1st times. There will certainly be questions in their exam that you can only no. If you have been working with the product, then unfortunately you cannot simply get from a book.





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Power BI Blog

Lozovskyi
Kudo Collector
Kudo Collector

Hi @grdelgado ,

Passing the DP-600 exam (or mastering Fabric data engineering in general) really comes down to moving past high-level marketing material and looking at real-world implementation patterns.

Here are two highly practical, community-vetted resources that cover the architectural depth you need:

Recommended Study & Practical Sources

  • Follow Aleksi Partanen on LinkedIn: Aleksi is a Microsoft MVP who consistently shares deep-dive, high-quality technical content, architecture diagrams, and practical insights specifically focused on Microsoft Fabric. Following his posts will give you a great understanding of real-world edge cases. https://www.linkedin.com/in/aleksi-partanen/

  • Go through FabricForge: This open-source repository and community resource is fantastic for practical execution. Working through the examples and patterns hosted there will give you hands-on exposure to proper Medallion architecture setup, notebook optimizations, and engineering best practices. https://www.skool.com/fabricforge/about

Essentially: Many data engineers who have successfully passed the exam highlight that relying solely on MS Learn documentation isn't always enough. Combining MS Learn with community-driven repositories like FabricForge and following active MVPs provides the practical context required to handle the scenario-based questions on the test.

Why This Helps

Official documentation often explains what a feature is, but community leaders and open-source frameworks show you how it behaves under production workloads. Engaging with these resources bridges the gap between theoretical knowledge and the actual platform constraints you will be tested on.

 

Note: Clarification structure and formatting for this response were assisted by AI tools, and validated for technical accuracy.

 

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