# Free Desktop-Specialist Exam Braindumps

True or False : Bins can be created on dimensions

1. False
2. rue

##### Explanation:

Bin are a user-defined grouping of numerical data in the data source.
According to the official Tableau documentation: It's sometimes useful to convert a continuous measure (or a numeric dimension) into bins.
Have a look at the following image. When we right click a measure, we get the following options:

However, for a dimension (this is because the DATA TYPE of this dimension is a string:

But what if we have a dimension of type NUMBER (NUMERIC DIMENSION)? See below:

We can clearly create bins from dimensions too - they just have to be numeric :) For more information, please refer to :
https://help.tableau.com/current/pro/desktop/en-us/calculations_bins.htm

Which of the following is a valid way to create Sets in Tableau?

1. In the Data pane, right-click a dimension and select Create > Set.
2. In the Tableau Main Menu, Choose Worksheet and select Create > Set
3. In the Tableau Main Menu, choose Dashboard and select Create > Set
4. In the Data pane, right-click a measure and select Create > Set.

##### Explanation:

There are two types of sets: dynamic sets and fixed sets. The members of a dynamic set change when the underlying data changes. Dynamic sets can only be based on a single dimension.
To create a dynamic set:
1) In the Data pane, right-click a dimension and select Create > Set.
2) In the Create Set dialog box, configure your set. You can configure your set using the following tabs:
General: Use the General tab to select one or more values that will be considered when computing the set.
You can alternatively select the Use all option to always consider all members even when new members are added or removed.

None of the other options exist, and therefore are incorrect answers.

##### Reference:

https://help.tableau.com/current/pro/desktop/en-us/sortgroup_sets_create.htm

Which of the following can you use to create a Histogram?

1. 2 measures
2. 1 measure
3. 2 dimensions
4. 1 dimension

##### Explanation:

A histogram is a chart that displays the shape of a distribution. A histogram looks like a bar chart but groups values for a continuous measure into ranges, or bins.
The basic building blocks for a histogram are as follows:

Demo :

##### Reference:

https://help.tableau.com/current/pro/desktop/en-us/buildexamples_histogram.htm

If you see the following Filter, then you're working with
Larger image

1. Grouped Dates
2. Date Functions
3. Date Parts
4. Date Values

##### Explanation:

Dates in Tableau will behave differently depending on whether they are a Datepart (blue) or a Datevalue (green). This affects how the axes display/behave and also how visualisations such as line charts will display. The difference essentially boils down to Dateparts behaving like a dimension as opposed to a measure which is how Datevalues behave. This means that Dateparts behave like discrete categories on the view whereas Datevalues are more like continuous numeric values.
Dateparts are discrete and they behave the same as dimension filters. If all dates are used on the filter then each individual date will be a datepart that can be selected/excluded. This is the same for each level of date, if datepart months is placed on filters January to December will be tick-able options in the filter. This also means that conditions and top/bottom filters can be applied to datepart filters like any other dimension filter.
Datevalues placed on filters behave like measure filters. A min and a max date can be set and there is a relative dates option which allows you to choose things like only show the previous 3 months or years etc.

##### Reference:

https://www.thedataschool.co.uk/harry-cooney/tableau-dateparts-vs-datevalues/

Dragging a to colour creates distinct colours for each item whereas dragging a to colour creates a gradient

1. Discrete value, Continuous Value
2. Geographic Value, Discrete Value
3. Continuous Value, Discrete Value
4. Longitude, Latitude