Tableau Desktop Foundations Free Sample Questions

You are analyzing a dataset containing sales transactions where the 'Order Date' field is currently recognized as a String data type (e.g., '20230115'). You need to use this field for time-series analysis in Tableau. Which method efficiently converts this field to a Date type without modifying the underlying source file?

A data analyst connects to an Excel file where the data starts on row 5, and rows 1-4 contain merged cells and titles. The data in Tableau appears messy with nulls in the headers. What is the most efficient way to resolve this in the Data Source page?

You have survey data where each question is a separate column (e.g., Q1, Q2, Q3) with the respondent's answer as the value. You want to analyze the distribution of answers across all questions in a single bar chart. How should you reshape the data in the Data Source page?

You are building a view using two tables: 'Orders' and 'Returns'. You want to analyze sales performance but also identify which orders were returned. Not all orders have returns. Which method of combining data is best suited to avoid duplicating measure values from the 'Orders' table while keeping all order records?

A user needs to combine 12 separate Excel files, one for each month of the year, into a single data source in Tableau. All files are in the same folder and have identical schema. What is the most efficient way to achieve this?

You have created a scatter plot showing 'Sales' vs 'Profit'. You notice a cluster of outliers and want to exclude them from the view to focus on the main trend. After selecting the outliers, which option should you choose to remove them from the visualization but keep them in the underlying data source?