12 Questions
What happens when a Power BI semantic model is loaded in memory?
The data is decompressed after loading, causing the size in memory to increase
What is the difference between the size limits in Direct Lake and import mode?
In import mode, all columns are loaded into memory even if not used, unlike in Direct Lake
What is a benefit of using Direct Lake over import mode for handling large datasets?
Direct Lake requires less capacity resources than import mode
How is data evicted from memory when memory pressures occur?
Certain columns are dynamically paged out from memory
What are some tools that Data Engineers or Data Scientists can use for copying and transforming data for Direct Lake?
SQL and R
Where must Direct Lake datasets be created and reside?
Fabric and Fabric capacity
What is the name of the innovative dataset storage mode announced by Microsoft for Power BI?
Direct Lake
When did XMLA-W become available?
Aug 9
Can you use XMLA endpoint to create/edit the model using Tabular Editor for Direct Lake datasets?
No, the dataset has to be created in service or using external tools
Is it currently possible to mix and match storage modes in web modeling for Direct Lake datasets?
No, you cannot mix and match storage modes at the moment in web modeling
What is the potential downside mentioned in the text when using Direct Query with Direct Lake datasets?
Slower performance
Are Direct Query limitations applicable when using Direct Lake datasets?
Yes, Direct Query limitations will be applicable
Explore the latest innovative dataset storage mode for Power BI known as Direct Lake unveiled by Microsoft. This new feature promises to revolutionize how we approach BI solutions by offering a balance between import and Direct Query modes. Delve into the details and uncover the functionalities of this cutting-edge technology.
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