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Replace Data Source

Replace Data Source is a feature that allows you to replace one data source with another one that has the same or similar fields and structure. It updates all the worksheets that use the original data source with the new one, without reloading the data. In this case, you want to replace the data source that contains order data from 2019 with the one that contains order data from 2020.

To replace the data source, you need to do the following steps:

Go to the Data Source tab at the bottom of the workbook to see the data source page. You will see a table that shows the fields and values from the original data source.

Click on the drop-down arrow next to the data source name at the top of the page and select Replace Data Source from the menu. This will open a dialog box that allows you to replace your data source with another one.

Select the data source that contains order data from 2020 from the list of available data sources and click OK. This will replace your original data source with the new one and update your worksheet accordingly. You may need to fix any broken fields or calculations that result from the replacement.

To create a map visualization that shows the concentration of data points in different locations, you need to change the mark type to Density. This will create a heatmap that uses color and size to indicate the density of the data points. You can also adjust the intensity and transparency of the density marks to suit your needs. References: The information is based on the following sources:

Create Heatmaps that Show Trends or Density in Tableau

Build a Simple Map - Tableau

B is the verified answer; the selection shown in the candidate PDF is not reliable here. The difficulty is that FullName contains a variable number of space delimiters. A simple “split all” operation would produce First | Last for a two-part name but First | Middle | Last for a three-part name, so the second result column does not consistently represent the middle name. Tableau’s Custom Split functionality allows splitting from the first or last occurrences of a delimiter. The analyst can therefore reliably extract the first and last names regardless of whether a middle name exists, and derive the middle component when present. Tableau’s documentation notes that Custom Split provides control over first N, last N, or all occurrences and is useful when separator counts vary between records.

A full outer join preserves every row from both physical tables, returning matched records where possible and null values where a corresponding row does not exist. That directly satisfies the requirement to retain books that appear in only one of the two incomplete tables. A Tableau relationship can also satisfy the requirement because relationships keep logical tables separate and defer physical joining until analysis time. Tableau dynamically determines the appropriate joins based on fields used in the visualization and makes the row and column data from related tables potentially available without permanently collapsing the tables. Left or right joins would discard unmatched rows from one side, while an inner join retains only matches. Therefore, Full outer join or Relationship model is the correct combination.

To refresh an extract on Tableau Server, you need to select the workbook, select Refresh Extracts, and then add a new extract refresh. You can specify the frequency and time of the refresh, as well as any custom options. You can have multiple extract refreshes for the same workbook with different schedules. References: https://help.tableau.com/current/server/en-us/refresh_extracts.htm https://help.tableau.com/current/server/en-us/refresh_extracts_add.htm

On Tableau Server, you can manage the scheduling of extract refreshes by selecting the specific workbook and configuring additional refresh schedules as needed. This allows for multiple refresh triggers, such as the regular Monday at 10:00 AM schedule, as well as an additional trigger for the last day of the month at 18:00.

To customize a layout for mobile users, you should select the Device Preview option first. This option will allow you to see how your dashboard will look on different types of devices, such as phones, tablets, or desktops. You can also choose different models and orientations to preview different screen sizes and resolutions. From the Device Preview mode, you can add, edit, or delete device layouts for each device type. You can also adjust the size, position, and formatting of the dashboard elements for each device layout. References:

Create Dashboard Layouts for Different Device Types - Tableau

Tableau Certified Data Analyst Study Guide

To calculate the month to date value of the prior year, you need to filter the order date to be between the first day of the same month of the previous year and the same day of the previous year. You can use the calculated fields [Calc1] and [Calc2] to get these dates. [Calc1] returns the date that is one year before today, and [Calc2] returns the date that is the first day of the month of [Calc1]. By using these fields in the filter condition, you can get the desired result.

https://kb.tableau.com/articles/howto/filtering-data-with-a-parameter?lang=fr-fr

After creating a parameter named Choose Region, you want to use it to filter the chart based on the user ' s selection. To do this, you would create a calculated field with the formula [Region] = [Choose Region] and add this calculated field to the Filters card. This will dynamically filter the chart to display data only for the region that matches the user’s selection in the Choose Region parameter.