You have a Fabric tenant that contains a semantic model. The model uses Direct Lake mode.
You suspect that some DAX queries load unnecessary columns into memory.
You need to identify the frequently used columns that are loaded into memory.
What are two ways to achieve the goal? Each correct answer presents a complete solution.
NOTE: Each correct answer is worth one point.
To identify frequently used columns loaded into memory, you can use the Vertipaq Analyzer tool and query the $System.DISCOVER_STORAGE_TABLE_COLUMN_SEGMENTS dynamic management view (DMV). The Vertipaq Analyzer tool provides detailed information about the internal structure and memory usage of your Power BI model, which helps in identifying frequently accessed columns. The DISCOVER_STORAGE_TABLE_COLUMN_SEGMENTS DMV offers insights into storage and usage patterns of columns, making it useful to determine the frequently used columns.
I think BC. A is only tobread data and D only memory allocations
Methods to Identify Frequently Used Columns: B. Use the Vertipaq Analyzer tool. Vertipaq Analyzer: This tool helps analyze the internal structure of your Power BI model. It provides detailed information about the storage and memory usage of your model, including which columns are frequently accessed and loaded into memory. This can help you identify unnecessary columns that are consuming resources. Steps: Export your Power BI model to a .pbix file. Open the .pbix file in Power BI Desktop. Use the Vertipaq Analyzer tool to analyze the model and review the column usage statistics. C. Query the $System.DISCOVER_STORAGE_TABLE_COLUMN_SEGMENTS dynamic management view (DMV). DMVs: Dynamic Management Views (DMVs) provide detailed information about the operations of your Power BI models. Specifically, the $System.DISCOVER_STORAGE_TABLE_COLUMN_SEGMENTS DMV can give you insights into the storage and usage patterns of individual columns within your model.
IMHO, B & C Because: 1. The DISCOVER_STORAGE_TABLE_COLUMN_SEGMENTS schema rowset returns information about the column segments used for storing data for in-memory tables.<336> 2. Very often there could be a few columns that are not required in your Power BI model, but they take up a lot of space. This is easy to find with Vertipaq Analyzer. Links: https://learn.microsoft.com/en-us/openspecs/sql_server_protocols/ms-ssas/948d5135-5bf4-4cf7-82c5-3a38746c2fb8 https://www.fourmoo.com/2020/11/11/how-to-use-vertipaq-analyzer-with-dax-studio-for-power-bi-model-analysis/
B and C is the right answer.
Other Options: WRONG A. Use the Analyze in Excel feature: This feature allows for interaction with the model data in Excel but does not provide detailed insights into column-level memory usage. D. Query the DISCOVER_MEMORYGRANT DMV: This DMV provides information about memory grants for queries but does not provide detailed information about the columns loaded into memory.
Answer is A&B
B and C A. It’s more about data exploration and visualization. D. Provides information about memory grants for queries
B and C is the right answer.