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Learn Microsoft Fabric
12.7k members โข Free
6 contributions to Learn Microsoft Fabric
Jul 30 โขย
Just passed the Exam! (DP-600)
Hi everyone. I just took the DP-600 and passed with a surprising 845. I'm so happy for it, given it wasn't easy at all. Taking into account I'm from Argentina (therefore English is not my natural language) and currently without access to Fabric (we work only with Power BI licences...for now) it was a real challenge. But it all end up great. @Will Needham 's video helped a lot to put the concepts in order (so a big thanks to you) and then it was about practicing and reading all the notes and extra stuff. Great community! I'm here for any doubts and help if needed.
0 likes โข Aug 6
@Vinay Shankar TS Ts mostly the MS course, wich I recommend to do it backwards (admin and governance first...then semantic models and warehouse and lastly lakehouses). The you can go for Will's video and YouTube recomendations
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Nov '24 โขย
[DP-600] 3.3 Ingest or access data | Q&A & Discussion
๐ Use this thread to ask any questions you might have about this lesson: #3.3 Ingest or access data
0 likes โข Jul 22
@Will Needham In the case of adding data minimizing development effort, the correct solution would be going for Shortcuts or Copy Data? I see a lot of this in the test/prep exam, where I think the "catch" is that shortcuts doesn't really "adds data".
0 likes โข Jul 22
@Will Needham thanks. In that case would you say it should be shortcut or copy data? (efficient way to add data to a LH)
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Nov '24 โขย
[DP-600] 1.3 RLS, OLS, CLS, File-level access control | Q&A & Discussion
Use this thread to ask any questions you might have about this lesson: #1.3 RLS, OLS, CLS, File-level access control ๐
0 likes โข Jul 17
@Will Needham if "Files can only exist in the Lakehouse" what is the purpose of the ReadAll option in a Warehouse? Isn't it to access files through spark/notebooks?
0 likes โข Jul 17
@Will Needham Great, thanks for the explanation. So ReadAll it's a broader level than ReadData? It's the same level access AND OneLake, Spark, Dataflows etc?
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Nov '24 โขย
[DP-600] 1.2 Item-level access | Q&A & Discussion
Use this thread to ask any questions you might have about this lesson: #1.2 Item-level access ๐
2 likes โข Jul 17
@Jean Wang Hi! It does mention it here: "This is available for nearly all Fabric items, apart from Data Pipelines, and Dataflows."
0 likes โข Jul 12
Congratulations Nicholas! Could you comment on the topics that you encountered in the exam? I'm specially interested to know if Notebooks and Pyspark (language, nodes, broadcasting, etc) are still a big part of it, or has the exam let that topic go to the DP-700. Thanks and congrats again!
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@adrian-cittadini-9720
Lead Data Analyst from Argentina with experience in analysis, reporting, and development of data-driven solutions.
Active 51d ago
Joined Jun 4, 2025
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