Podcast
Questions and Answers
What happens when a Power BI semantic model is loaded in memory?
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?
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?
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?
How is data evicted from memory when memory pressures occur?
What are some tools that Data Engineers or Data Scientists can use for copying and transforming data for Direct Lake?
What are some tools that Data Engineers or Data Scientists can use for copying and transforming data for Direct Lake?
Where must Direct Lake datasets be created and reside?
Where must Direct Lake datasets be created and reside?
What is the name of the innovative dataset storage mode announced by Microsoft for Power BI?
What is the name of the innovative dataset storage mode announced by Microsoft for Power BI?
When did XMLA-W become available?
When did XMLA-W become available?
Can you use XMLA endpoint to create/edit the model using Tabular Editor for Direct Lake datasets?
Can you use XMLA endpoint to create/edit the model using Tabular Editor for Direct Lake datasets?
Is it currently possible to mix and match storage modes in web modeling for Direct Lake datasets?
Is it currently possible to mix and match storage modes in web modeling for Direct Lake datasets?
What is the potential downside mentioned in the text when using Direct Query with Direct Lake datasets?
What is the potential downside mentioned in the text when using Direct Query with Direct Lake datasets?
Are Direct Query limitations applicable when using Direct Lake datasets?
Are Direct Query limitations applicable when using Direct Lake datasets?
