Master Tableau TDS-C01 Exam with Reliable Practice Questions
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Which two types of aggregations can be applied to string fields? Choose two.
Correct : B, D
The two types of aggregations that can be applied to string fields in Tableau are Count Distinct and Minimum. Count Distinct counts the unique values of a field, and Minimum finds the smallest value in a field based on the alphanumeric order. String fields do not support numeric aggregations like Sum or Average.
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You need to invert the color intensity of a quantitative range. Which option should you use?
Correct : A
To invert the color intensity of a quantitative range in Tableau, you should use the 'Reversed' option. This option inverts the color scheme so that the colors representing the higher values are swapped with those representing the lower values. For example, if a color scale initially shows dark colors for high values and light colors for low values, using 'Reversed' will switch this so that dark colors represent low values and light colors represent high values. This option is particularly useful for better visual distinction and interpretation in certain data scenarios.
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What are two examples of a date value?
Choose two.
Correct : A, D
Date values in Tableau represent specific points in time and are typically formatted in a standard date format.
Option A, '2020-05-01', is a standard date format representing the 1st of May, 2020.
Option D, 'January 1, 1995', is another example of a date value, representing the 1st of January, 1995. Options B ('December') and C ('Wednesday') represent a month and a day of the week, respectively, but do not specify a particular date.
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You have a data set that builds a union between two tables. You need to extract the data set. What should you use to extract the data set?
Correct : C
When dealing with a union of two tables in Tableau, using logical tables with a single table extract is the most appropriate approach. Logical tables allow for the integration of data from multiple tables in a way that is seamless and efficient for analysis. By using a single table extract, Tableau consolidates the data from the union into one extract, optimizing performance and enabling faster data processing. This approach is particularly beneficial when working with large datasets or complex unions.
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You create a visualization by first adding a measure to rows. Next, you add a dimension wilh 11 members to columns.
Assuming that all the dimensions have a non-zero value, how many marks are in the view before and after the dimension is added?
Correct : C
In Tableau, when you initially add a measure to the rows shelf, you create one mark in the view that represents the aggregate value of that measure. When you then add a dimension with 11 members to the columns shelf, the view is subdivided into 11 separate marks, each representing the measure for one of the dimension members. This results in a total of 11 marks in the view after the dimension is added, one for each member of the dimension.
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