Tableau TDS-C01 Practice Test - Questions Answers, Page 25

You can assign an alias to a field member before creating a visualization. An alias is an alternative name that you can assign to a value in a dimension field. You can use aliases to rename specific values within a dimension to make them more relevant or descriptive in your view than what the original data provides.For example, you can use aliases to shorten long names, correct spelling errors, or replace codes with meaningful labels6You can create aliases for the members of discrete dimensions only. They cannot be created for continuous dimensions, dates, or measures. To create an alias for a dimension member, you can right-click the dimension in the Data pane and select Aliases, then enter a new name for each member under Value (Alias). You can also create an alias by right-clicking a dimension member in the view and selecting Edit Alias.You can do this before or after creating a visualization6The other options are not accurate statements about aliases. You cannot create an alias for a discrete measure, because measures are not discrete fields. You cannot create an alias for a continuous dimension, because aliases are only available for discrete dimensions. When you assign an alias, the name does not change in the database, only in Tableau.Aliases are stored as part of the workbook or data source, and do not affect the original data6

According to the Tableau Desktop Specialist Exam Guide, one of the exam objectives is to ''Sort data in a visualization''. The guide also states that ''You can sort data in a visualization from three locations: the Worksheet menu, an axis, or a field label'' (page 15).

According to the Tableau Help, a highlight table is ''a cross-tabulation that uses color to encode values''. The help also states that ''Highlight tables use the Square mark type'' (page 1).

According to the Tableau Help, one of the ways to improve a crosstab is to ''Include an Other group''. The help also states that ''If you have a large number of members in a dimension, you can create groups to combine low-frequency members into an Other group. This can help you focus on the most relevant data and reduce clutter in your view'' (page 2).

According to the Tableau Help, headers are ''labels that identify the different parts of your view''. The help also states that ''Headers are created when you place a discrete dimension on Columns or Rows'' (page 1).

You should select Size on the Marks card and use the slider to adjust the size to uniformly change the size for all marks in a view. The Size property on the Marks card allows you to control the size of marks in the view by moving the slider to the left or right.The Size slider affects different marks in different ways, such as making them bigger or smaller, wider or narrower, or thicker or thinner1The other options are not valid ways to uniformly change the size for all marks in a view.Selecting Label on the Marks card and then selecting Alignment will allow you to change the position of labels on marks, not the size of marks2Using the Fit dropdown menu on the toolbar will allow you to change how the view fits within the worksheet, not the size of marks3Selecting Format on the menu, and then selecting Cell Size will allow you to change the height and width of cells in a text table, not the size of marks in other types of views4

Tableau Desktop will display marks by using a diverging palette as the default to display data that has both negative and positive quantitative values. A diverging palette is a type of color palette that uses two different color ranges to show positive and negative values. For example, a red-green diverging palette uses shades of red for negative values and shades of green for positive values.A diverging palette is automatically applied when there are both negative and positive values for a measure that is placed on Color on the Marks card5The other options are not correct types of color palettes that Tableau Desktop uses as the default for data with both negative and positive values. A full color range is not a valid term for a color palette in Tableau. A sequential palette is a type of color palette that uses different shades of one color to show variations in a single measure.A sequential palette is usually applied when there are only positive values for a measure that is placed on Color on the Marks card5A categorical palette is a type of color palette that uses different colors to show discrete values or categories.A categorical palette is usually applied when there is a dimension that is placed on Color on the Marks card5

Standard deviation is an aggregation that is available without requiring a table calculation or calculated field. Standard deviation is a statistical measure that shows how much variation there is from the average value in a set of data.Standard deviation is one of the predefined aggregations in Tableau that can be applied to any measure by selecting it from the context menu of the measure or from the drop-down menu on the Marks card6The other options are not aggregations that are available without requiring a table calculation or calculated field. Running total, sample covariance, and percent of total are all examples of table calculations, which are computations that are applied to the values in an entire table or partition of a table.Table calculations can be created by selecting them from the context menu of a measure or by using functions in a calculated field7