Exam DP-600 topic 1 question 180 discussion

What is the Large semantic model storage format? When you select the Large semantic model storage format, it allows higher compression and optimizations that improve write performance for XMLA endpoint operations. It is especially beneficial for large datasets, as it increases the capacity limit and enhances processing efficiency. Why not the other options? A. Delete any unused semantic models from Workspace1 ❌ This might free up resources but does not directly improve XMLA write performance. The performance is tied to the individual model's processing efficiency rather than the number of models in the workspace. C. Configure Model1 to use the Direct Lake storage format ❌ Direct Lake is optimized for reading, not writing. It bypasses import and DirectQuery modes, improving query performance but not XMLA write operations. D. Delete any unused columns from Model1 ❌ While reducing unused columns may improve memory usage and query performance, it does not significantly impact XMLA write speed.

The Large semantic model storage format is designed to handle larger datasets and improve performance for both read and write operations. By enabling this option, you can significantly enhance the speed of write operations when using the XMLA endpoint. This format is optimized for scenarios where semantic models are frequently updated or require high-performance write operations.

https://learn.microsoft.com/en-us/power-bi/enterprise/service-premium-connect-tools#optimize-semantic-models-for-write-operations-by-enabling-large-models