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A client has a dashboard that renders in less than 10 seconds. The client receives a request to add a new calculated field that will return TRUE if a Project contains any one of the values "Project 1" or "Project 2" and FALSE otherwise. After adding the function found below, the dashboard's render time increases to 14 seconds from 10 seconds. [Project] = 'Project 1' OR [Project] = 'Project 2' Which function should the consultant use to reduce the render time?
Correct Answer: D
Comprehensive and Detailed Explanation From Exact Extract: Tableau documentation states that IN expressions are optimized internally for better query performance than multiple OR statements. They are pushed efficiently to the data source and simplified during query compilation. The original expression uses two OR conditions, which increases the complexity of row-level evaluation: [Project] = 'Project 1' OR [Project] = 'Project 2' Tableau's performance guidelines recommend replacing multiple OR comparisons with an IN expression whenever possible: [Project] IN ('Project 1', 'Project 2') This reduces rendering time by minimizing row evaluation overhead and creating a cleaner, optimized logical condition. Option D achieves this exactly. Option A is logically incorrect because a project cannot simultaneously equal both values. Option B is syntactically incorrect because IN expects a list, not an OR inside the list. Option C is simply a reformatting of the original OR expression and provides no performance improvement. Option D is the only valid, optimized solution. * Tableau calculation optimization guidance recommending IN over OR for performance. * Tableau's query performance notes indicating that OR statements expand logical branches and slow down evaluation. * Best practices for row-level calculations suggesting simplified logical expressions.
