Optimize the data source by creating indexes on frequently queried columns Creating indexes on frequently queried columns can significantly reduce the query execution time, improving overall performance. Adding more complex calculated fields can increase the query execution time. Increasing the number of visualizations can further slow down performance. Reducing caching settings can negatively impact performance by increasing data retrieval times. A Tableau dashboard is experiencing slow performance due to having a large number of sheets and filters. What is the best approach to improve performance?
A Tableau consultant needs to create a calculation that shows the average sales per region and per product category. What aggregation function should be used in combination with the dimensions to achieve this?
IF MONTH([Date]) >= 7 THEN YEAR([Date]) + 1 ELSE YEAR([Date]) END This calculation correctly adjusts the fiscal year for dates from July onwards to reflect the next calendar year. This formula does not correctly handle dates before July. DATEPART('year', [Date]) returns the calendar year, not the fiscal year. DATEADD('year', 1, [Date]) adds one year to the date but does not adjust the fiscal year properly. To analyze data based on fiscal quarters where the fiscal year starts in April, which calculation can be used to determine the fiscal quarter of each date?
An analyst wants to find the maximum sales value for each product category across all regions and then determine the average of these maximum sales values for each product category. Which nested LOD expression should be used?
along with the difference from the previous quarter's cumulative sales. Which combination of advanced calculations should they use?
➢ TOTAL QUESTIONS:295 A Tableau user notices that the totals in their summary table do not match their expectations after applying multiple filters. They suspect the issue is related to the Tableau order of operations. What is the first step they should take to troubleshoot this issue?
