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Understanding Power BI Direct Lake: A Deep Dive

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Understanding Power BI Direct Lake: A Deep Dive

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Questions and Answers

What happens when a Power BI semantic model is loaded in memory?

The size in memory is always smaller than the size on disk

The data is decompressed after loading, causing the size in memory to increase (correct)

The data remains compressed in memory

The size on disk remains the same as the size in memory

What is the difference between the size limits in Direct Lake and import mode?

Import mode uses less memory compared to Direct Lake

In Direct Lake, the entire dataset is loaded into memory, whereas in import mode only queried columns are loaded

In import mode, all columns are loaded into memory even if not used, unlike in Direct Lake (correct)

Direct Lake doesn't have any size limits unlike import mode

What is a benefit of using Direct Lake over import mode for handling large datasets?

Direct Lake requires less capacity resources than import mode (correct)

Import mode uses less memory for refreshing data compared to Direct Lake

Direct Lake always keeps the entire dataset in memory

Import mode supports dynamic paging of unused columns

How is data evicted from memory when memory pressures occur?

Certain columns are dynamically paged out from memory Signup and view all the answers

What are some tools that Data Engineers or Data Scientists can use for copying and transforming data for Direct Lake?

SQL and R Signup and view all the answers

Where must Direct Lake datasets be created and reside?

Fabric and Fabric capacity Signup and view all the answers

What is the name of the innovative dataset storage mode announced by Microsoft for Power BI?

Direct Lake Signup and view all the answers

When did XMLA-W become available?

Aug 9 Signup and view all the answers

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 Signup and view all the answers

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 Signup and view all the answers

What is the potential downside mentioned in the text when using Direct Query with Direct Lake datasets?

Slower performance Signup and view all the answers

Are Direct Query limitations applicable when using Direct Lake datasets?

Yes, Direct Query limitations will be applicable Signup and view all the answers