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You have a Microsoft Power Bl report named Report1 that uses a Fabric semantic model. Users discover that Report1 renders slowly. You open Performance analyzer and identify that a visual named Orders By Date is the slowest to render. The duration breakdown for Orders By Date is shown in the following table. What will provide the greatest reduction in the rendering duration of Report1?
Correct Answer: D
Based on the duration breakdown provided, the major contributor to the rendering duration is categorized as "Other," which is significantly higher than DAX Query and Visual display times. This suggests that the issue is less likely with the DAX calculation or visual rendering times and more likely related to model performance or the complexity of the visual. However, of the options provided, optimizing the DAX query can be a crucial step, even if "Other" factors are dominant. Using DAX Studio, you can analyze and optimize the DAX queries that power your visuals for performance improvements. Here's how you might proceed: * Open DAX Studio and connect it to your Power BI report. * Capture the DAX query generated by the Orders By Date visual. * Use the Performance Analyzer feature within DAX Studio to analyze the query. * Look for inefficiencies or long-running operations. * Optimize the DAX query by simplifying measures, removing unnecessary calculations, or improving iterator functions. * Test the optimized query to ensure it reduces the overall duration. References: The use of DAX Studio for query optimization is a common best practice for improving Power BI report performance as outlined in the Power BI documentation.
