All are correct, except - Copy of any local file-based data. This is contained in a .tdsx file (Tableau Packaged Data Source)!

According to the official documentation -

When you click Salt Lake City in the view, the URL action will direct you to https://en.wikipedia.org/wiki/Salt+Lake+City+Car+Dropoff+City. A URL action is a hyperlink that points to a web page or other web-based resource outside of Tableau. You can use URL actions to create an email or link to additional information about your data.  To customize links based on your data, you can automatically enter field values as parameters in URLs 3  In this case, the URL action uses https://en.wikipedia.org/wiki/ < Car Dropoff City > as the URL target, where < Car Dropoff City > is a field value from the view. When you click Salt Lake City in the view, Tableau will replace < Car Dropoff City > with Salt Lake City in the URL target. However, since spaces are not allowed in URLs, Tableau will encode them as + signs instead.  Therefore, the final URL will be https://en.wikipedia.org/wiki/Salt+Lake+City+Car+Dropoff+City 3  The other options are not correct because they do not reflect how Tableau encodes field values in URL actions.

The only incorrect option is - Click on Dashboard in the Menu bar, select Tooltip, and then use the italics option.

This option doesn ' t exist. See below:

The rest of the options do exist, and therefore are correct:

Graphical user interface, text, application Description automatically generated

Distribution Pane

Explanation

This is the Analytics pane! Read more from the official documentation below:

Tableau will automatically create a hierarchy for date and geographic data. A hierarchy is a way of organizing data into different levels of detail. For example, a date hierarchy can have year, quarter, month, and day levels. A geographic hierarchy can have country, state, city, and zip code levels. Tableau recognizes date and geographic data based on their data types and formats, and creates hierarchies for them by default.  Tableau does not automatically create hierarchies for date & time or string data 3

Explanation

In a box and whisker plot:

1) The ends of the box are the upper and lower quartiles, so the box spans the interquartile range

2) The median is marked by a vertical line inside the box

3) The whiskers are the two lines outside the box that extend to the highest and lowest observations.

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 official documentation, the following are the requirements for using relationships:

1) When relating tables, the fields that define the relationships  must  have the same data type. Changing the data type in the Data Source page does not change this requirement. Tableau will still use the data type in the underlying database for queries.

2) You can ' t define relationships based on geographic fields.

3) Circular relationships aren ' t supported in the data model.

4) You can ' t edit relationships in a published data source.

5) You can ' t define relationships between published data sources.

6) Your workbook must use an embedded data source for you to be able to edit relationships and performance options in the Data Source page in Tableau Online or Tableau Server.

Dashboard actions in Tableau are interactive elements that can be used to create a more dynamic experience. These actions can be set to filter data on the dashboard, highlight specific elements, or even direct the user to a URL when interacting with a visualization. They can be triggered by user interaction such as hover, selection, or accessing a context menu. Moreover, dashboard actions can have multiple source sheets (where the action originates) and target sheets (where the action takes effect), allowing for a complex interactivity between different parts of the dashboard.

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.