Explanation
You don't need to know ANY programming language to use quick table calculations!
Follow along with the steps below to learn how to apply a quick table calculation to a visualization:
1) Open Tableau Desktop and connect to the Sample-Superstore data source, which comes with Tableau.
2) Navigate to a new worksheet.
3) From the Data pane, under Dimensions, drag Order Date to the Columns shelf.
4) From the Data pane, under Dimensions, drag State to the Rows shelf.
5) From the Data pane, under Measures, drag Sales to Text on the Marks Card.
6) From the Data pane, under Measures, drag Profit to Color on the Marks Card.
7) On the Marks card, click the Mark Type drop-down and select Square.

The visualization updates to look like this:

Apply the quick table calculation
1) On the Marks card, right-click SUM(Profit) and select Quick Table Calculation > Moving Average.
Note: You can only perform quick table calculations on measures in the view.
A delta symbol appears on the field to indicate that a quick table calculation is being applied to the field. The colors in the visualization update to show the moving average of profit across the years.

Explanation
Since we need to focus on 1 country -> Japan, let's filter on it first as follows:
1) Drag Country to the filter shelf, and choose only Japan. Click OK.

2) Read the Question Carefully, we need to break down the visualisation by Region, then by Country, and then by State. So let's do that:
Drag Region to the column shelf, followed by Country. Drill down into Country to include states as well.
Then drag Quantity to the Row Shelf, and change the Aggregation to AVERAGE.
The following is our visualisation:

Now that you think of it, EVEN IF YOU REMOVE THE REGION, THE ANSWER REMAINS THE SAME.
Such elements will be present in the actual exam too, just to make the question sound a little difficult, but actually it is pretty straightforward :)

Explanation
This question is directly from the Official Tableau Desktop Specialist exam guide.
Since we are talking about the AVERAGE home values for the United States in 2016, the question is directly offering us a hint that the answer has something to do with aggregation and that too the values tell us that we're working with MEASURES.
Date part and Date values don't really make much sense given the question, and neither does geography.
Therefore, the answer naturally is "An aggregated measure".

Explanation
The LATEST Tableau Desktop Sepcialist exam blueprint now requires you to know some basics about animations as well!
NOTE: Animations are DISABLED by default and must be manually enabled.


You can also reset all settings to default by clickin on 'Reset All'

Explanation
The data that you analyze in Tableau is often made up of a collection of tables that are related by specific fields (that is, columns). Joining is a method for combining data on based on those common fields. The result of combining data using a join is a virtual table that is typically extended horizontally by adding columns of data.
For example, consider the following two tables originating from a single data source:

We can combine these 2 tables, simply by joining the tables on ID to answer questions like, "How much was paid in royalties for authors from a given publisher?". By combining tables using a join, you can view and use related data from different tables in your analysis.