Tableau Specialist Exam Questions and
answers Graded A+
Data pane - CORRECT ANSWER-left hand sides showing dimensions and
measures
Data fields - CORRECT ANSWER-are made from the columns in your data
source. Each field is automatically assigned a data type (such as integer, string,
date), and a role: Discrete Dimension or Continuous Measure (more common), or
Continuous Dimension or Discrete Measure (less common).
Dimensions - CORRECT ANSWER-contain qualitative values (such as names,
dates, or geographical data). You can use dimensions to categorize, segment, and
reveal the details in your data. Dimensions affect the level of detail in the view.
Measures - CORRECT ANSWER-contain numeric, quantitative values that you
can measure. Measures can be aggregated. When you drag a measure into the view,
Tableau applies an aggregation to that measure (by default).
Continuous - CORRECT ANSWER-means "forming an unbroken whole, without
interruption"; discrete means "individually separate and distinct." Green measures
,and dimensions are continuous. Continuous field values are treated as an infinite
range. Generally, continuous fields add axes to the view.
discrete - CORRECT ANSWER-means "individually separate and distinct." Blue
measures and dimensions are discrete. Discrete values are treated as finite.
Generally, discrete fields add headers to the view.
Data roles with cube - CORRECT ANSWER-With a cube (multidimensional) data
source, the options for changing data roles are limited. In Tableau Desktop, cubes
are supported only on Windows.) You can change some measures from
continuous to discrete, but in general, you cannot change data roles for fields in
cube data source\
A visual cue that helps you know when a field is a measure - CORRECT
ANSWER-is that the field is aggregated with a function, which is indicated with an
abbreviation for the aggregation in the field name, such as:
If the entire view is disaggregated - CORRECT ANSWER-then by definition no
field in the view is aggregated
If you are using a multidimensional data source - CORRECT ANSWER-fields are
aggregated in the data source and measures fields in the view do not show that
aggregation.
Columns/Rows Shelves - CORRECT ANSWER-the bar where the dimension or
measure pills are being dragged to for visualization.
© 2026 Copyright. All Rights Reserved. This document is
protected by copyright law
,Dimensions containing strings or Boolean values - CORRECT ANSWER-cannot
be continuous.
After you drag a dimension/measure to Rows or Columns, you can change the
field roles - CORRECT ANSWER-just by clicking the field and choosing
Measure/Dimension
Tableau does not aggregate - CORRECT ANSWER-dimensions
In Tableau queries, dimensions in the view are expressed in SQL as - CORRECT
ANSWER-"Group By" clauses
How dimensions affect the level of detail in the view - CORRECT ANSWER-The
level of detail in a view refers to how granular the data is given the dimension and
measure data in the view.
As you add dimensions to Rows or Columns - CORRECT ANSWER-the number
of marks in the view increases.
Dragging a dimension to a location on the Marks card such as Color or Size -
CORRECT ANSWER-will also increase the number of marks, though it will not
increase the number of headings in the view
The process of adding dimensions to the view to increase the number of marks is
known as - CORRECT ANSWER-setting the level of detail
, Adding a dimension to any of the following locations in Tableau affects the level
of detail: - CORRECT ANSWER-Pages, Columns/Rows Shelfves, Color Mark,
Size Mark, Label Mark, Detail Mark, Path Mark, viz panel
In some cases, adding a measure to the view can - CORRECT ANSWER-increase
the number of marks in the view. But this is not the same as changing the view's
level of detail
to show missing values, - CORRECT ANSWER-right-click (Control-click on a
Mac) on one of the Date headers in the view and the date or bin headers and
choose Show Missing Values.
When you drag a measure to the view - CORRECT ANSWER-it is aggregated by
default. The type of aggregation will vary depending on the type of view. You
should always check the aggregation and change it if necessary
When you drag a continuous field from the Data pane to Rows or Columns -
CORRECT ANSWER-Tableau creates a continuous axis for that field
If you change a measure field to Discrete, - CORRECT ANSWER-the values
become column headers. But Tableau continues to aggregate values for the field,
because even though the field is now discrete, it is still a measure, and Tableau
aggregates measures by default.
In cases where Tableau has misclassified a field as a dimension or a measure -
CORRECT ANSWER-possibly because of the data type, you can convert it and
© 2026 Copyright. All Rights Reserved. This document is
protected by copyright law
answers Graded A+
Data pane - CORRECT ANSWER-left hand sides showing dimensions and
measures
Data fields - CORRECT ANSWER-are made from the columns in your data
source. Each field is automatically assigned a data type (such as integer, string,
date), and a role: Discrete Dimension or Continuous Measure (more common), or
Continuous Dimension or Discrete Measure (less common).
Dimensions - CORRECT ANSWER-contain qualitative values (such as names,
dates, or geographical data). You can use dimensions to categorize, segment, and
reveal the details in your data. Dimensions affect the level of detail in the view.
Measures - CORRECT ANSWER-contain numeric, quantitative values that you
can measure. Measures can be aggregated. When you drag a measure into the view,
Tableau applies an aggregation to that measure (by default).
Continuous - CORRECT ANSWER-means "forming an unbroken whole, without
interruption"; discrete means "individually separate and distinct." Green measures
,and dimensions are continuous. Continuous field values are treated as an infinite
range. Generally, continuous fields add axes to the view.
discrete - CORRECT ANSWER-means "individually separate and distinct." Blue
measures and dimensions are discrete. Discrete values are treated as finite.
Generally, discrete fields add headers to the view.
Data roles with cube - CORRECT ANSWER-With a cube (multidimensional) data
source, the options for changing data roles are limited. In Tableau Desktop, cubes
are supported only on Windows.) You can change some measures from
continuous to discrete, but in general, you cannot change data roles for fields in
cube data source\
A visual cue that helps you know when a field is a measure - CORRECT
ANSWER-is that the field is aggregated with a function, which is indicated with an
abbreviation for the aggregation in the field name, such as:
If the entire view is disaggregated - CORRECT ANSWER-then by definition no
field in the view is aggregated
If you are using a multidimensional data source - CORRECT ANSWER-fields are
aggregated in the data source and measures fields in the view do not show that
aggregation.
Columns/Rows Shelves - CORRECT ANSWER-the bar where the dimension or
measure pills are being dragged to for visualization.
© 2026 Copyright. All Rights Reserved. This document is
protected by copyright law
,Dimensions containing strings or Boolean values - CORRECT ANSWER-cannot
be continuous.
After you drag a dimension/measure to Rows or Columns, you can change the
field roles - CORRECT ANSWER-just by clicking the field and choosing
Measure/Dimension
Tableau does not aggregate - CORRECT ANSWER-dimensions
In Tableau queries, dimensions in the view are expressed in SQL as - CORRECT
ANSWER-"Group By" clauses
How dimensions affect the level of detail in the view - CORRECT ANSWER-The
level of detail in a view refers to how granular the data is given the dimension and
measure data in the view.
As you add dimensions to Rows or Columns - CORRECT ANSWER-the number
of marks in the view increases.
Dragging a dimension to a location on the Marks card such as Color or Size -
CORRECT ANSWER-will also increase the number of marks, though it will not
increase the number of headings in the view
The process of adding dimensions to the view to increase the number of marks is
known as - CORRECT ANSWER-setting the level of detail
, Adding a dimension to any of the following locations in Tableau affects the level
of detail: - CORRECT ANSWER-Pages, Columns/Rows Shelfves, Color Mark,
Size Mark, Label Mark, Detail Mark, Path Mark, viz panel
In some cases, adding a measure to the view can - CORRECT ANSWER-increase
the number of marks in the view. But this is not the same as changing the view's
level of detail
to show missing values, - CORRECT ANSWER-right-click (Control-click on a
Mac) on one of the Date headers in the view and the date or bin headers and
choose Show Missing Values.
When you drag a measure to the view - CORRECT ANSWER-it is aggregated by
default. The type of aggregation will vary depending on the type of view. You
should always check the aggregation and change it if necessary
When you drag a continuous field from the Data pane to Rows or Columns -
CORRECT ANSWER-Tableau creates a continuous axis for that field
If you change a measure field to Discrete, - CORRECT ANSWER-the values
become column headers. But Tableau continues to aggregate values for the field,
because even though the field is now discrete, it is still a measure, and Tableau
aggregates measures by default.
In cases where Tableau has misclassified a field as a dimension or a measure -
CORRECT ANSWER-possibly because of the data type, you can convert it and
© 2026 Copyright. All Rights Reserved. This document is
protected by copyright law
