What are real time Tableau scenario-based interview questions?

 The currency of business is data, which enables more informed decision-making. Tableau Online Training, which provides interactive, data-based visualizations, is one of the top tools for making sense of data in a corporate context. The demand for Tableau experts rises in tandem with the spread of data-centric business operations. And answering those tough tableau interview questions correctly is crucial if you want to enter one of these competitive areas

What Are the Data Types Supported in Tableau? is one of the experienced Tableau interview questions.

2. How Are You Going to Understand Measurements and Dimensions?

3. What Do 'Discrete' and 'Continuous' in Tableau Mean?

4. What Sorts of Filters Exist? Name the various Tableau filters.

5. The Superstore Dataset Consists of Three Customer Segments. How Much of the Total Profits Are attributable to the Corporate Sector?

Take these actions:

Drag the rows shelf over the segment field. Consumer, Corporate, and Home Office make up this category. 

Under Measures, double-click the profit field. 

Under the marks card, right-click SUM (Profit), choose Quick Table Calculation, and then select Percent of the Total. 

6. What Kinds of Joins Does Tableau Offer?

A technique for combining related data on a common key is joining. The various joins are listed in the table below:

7. How Do You Know If You're Joining or Blending?

Data blending is the process of combining data from two or more sources, such as Oracle, Excel, and SQL Server. Each data source in data blending has its own unique set of dimensions and measurements. Data joining is the process of combining the data from two or more tables or sheets inside the same data source. A consistent set of dimensions and measurements can be found throughout all combined tables or pages.

What Distinguishes a Live Connection from an Extract?

This is yet another typical Tableau interview query. Tableau Data Extracts are snapshots of data that are placed into system memory, optimized for aggregation, and then promptly recalled for visualization.

Hospitals that keep track of incoming patient data must make choices immediately, for instance.

Real-time updates are convenient with live connections since any changes to the data source are immediately reflected in Tableau.

How Will You Create a Calculated Field and What Is It?

From the data already present in the data source, additional (changed) fields are created using calculated fields. It doesn't change the original dataset and can be used to produce more reliable visualizations.

Let's, for illustration, determine the "average delay to ship."

For four separate regions, the data set under consideration includes information on the order date and ship date. A computed field can be made by:

Select Create Calculated Field under Analysis. 

On the screen, a computation editor appears. Give the calculated field a name, such as Shipping Delay.

Enter the equation: "day," "Order Date," "Ship Date," DATED IFF

Select "Ok."

Display Shipping Delay for all to see.

To construct a, repeat steps 1 through 5.'Average Shipping Delay' is a new computed field using the following formula: AVG (DATED IFF ('day,' [Order Date], [Ship Date]))

10. How can the top five sales and the worst five sales be shown in the same view?

Using sets' In/Out functionality, we may display it.

Take these actions:

To obtain the visualization, drag the Customer Name field to the Rows shelf and the Profit field to the Columns shelf.

Right-click on the Customer Name field to create a set. Select "Create an Option" and then click "Set."

Give the set the name "Top Customers." Set the set's parameters by clicking on the Top tab, choosing the By field, and entering the values top, five, profit, and sum. 

Create a second group called "Bottom Customers" in a similar manner, filling in the values for the By Field as Bottom, 5, Profit, and Sum. 

Right-click on these two sets to select them. Use the Create Combined Set option. Include every person from both sets, and give it the name "Top and Bottom Customers." Customers at the top and bottom are pulled onto filters.

Does Tableau Distinguish Between Sets and Groups?

A one-dimensional Tableau group is used to combine members of lower-level categories to form a higher-level category. Tableau sets can be grouped across different dimensions and measurements and can contain conditions.

You can organised subcategories by category, for instance.

By making a set, top sales and profits for many categories can be combined:

Select the Bottom Customers set, where the customer names are organised according to profit, using the Sets example from earlier. 

Select the top five entries from the list by going to the 'Groups' tab. 

Create a group by using the right-click menu. 

Select the bottom five entries in a similar manner, then form their group. Hide every other entry.

The groups will contain the same clients even if their profits change later, which is a significant difference in this case. For sets, however, the top five and worst five customers will alter in accordance with variations in profit.

What Does a Tableau Parameter Mean? Give an illustration.

You can use a parameter to substitute constant values in computations, filters, and reference lines. A parameter is a dynamic value that a customer could choose.

You can modify a filter to display the top 10, 20, or 30 products using a parameter, for instance, if you want to display the top 10 products based on total profit rather than a fixed figure.

Select Create Parameter, then provide the following information:

Name - Top/bottom customer numbers 

Fill in the fields as follows, choosing "Range" for the Allowable Values:

5 minimum

20 maximum

Step - 5

By replacing the value of 5 in the "By Field" field with "Select number of top/bottom customers," edit the set "Top Customers." Apply the same modifications to the 'Bottom Customers' set. 

Right-click on the newly generated parameter in the Data pane and choose "Show Parameter Control." The data now shows as per the specified parameter value if you increase the step inside the range.

What Distinguishes Heat Maps from Tree maps?

Warm Maps

To compare groups based on size and color, a heat map is employed. In this, there are two distinct metrics.

Show sales and profit for various product categories and subcategories across all areas.

Take these actions:

Drag the Region field to the Columns shelf, the Category and Subcategory fields to the Rows shelf, and so on. 

Choose the Heat Map using the Show Me feature.

Look at the hotter and colder areas on the heat map that was created.

You can utilize a heat map's size in addition to its color to characterize it. Here, we compare profit and sales using the color and size to define the size by sale by dragging the Sales tab to the Size beneath the marks card.

Analysis: The color of profit, which spans from orange for loss to blue for profit, is used to indicate it. Size is used to signify total sales.  

Leaf Maps

Hierarchical data is represented using a tree map. Rectangles that are sized and arranged according to a measure are placed across the view's space.

Show sales and profit for various product categories and subcategories across all areas.

Choose two dimensions. Classification and Subclass

From the data window, pick the two measurements Sales and Profit. 

Choose tree-map from the Show-me tool's menu.