Salesforce Analytics-DA-201 - Salesforce Certified Tableau Data Analyst

To create the dashboard as shown in the image, you need to use a vertical layout container that will adjust the height of the sheets according to the window size. You also need to set the Fit to Entire view option for both sheets so that they will resize proportionally when you click a category on the top sheet. This way, you can achieve the desired effect of having the bottom sheet expand to fill the space left by the top sheet when it filters out some categories. References:

Size and Lay Out Your Dashboard - Tableau

Create a Dashboard - Tableau

Format Dashboard Layout in Tableau - GeeksforGeeks

To add a column that shows the day of the week for each row, you should complete the formula as follows:

DATENAME

(

‘weekday’

, [Order Date])

 The DATENAME function in Tableau returns the name of a specified part of a date or datetime value, such as the year, month, or day. It takes two arguments: the date part and the date. In this question, you want to return the name of the weekday, such as Monday, Tuesday, or Wednesday, for each order date. Therefore, you need to use ‘weekday’ as the date part and [Order Date] as the date. The formula will return a string value that represents the name of the weekday for each order date.

The chart is partitioned into separate panes by year, and each pane contains its own horizontal reference line based on the values within that pane. Therefore, the reference-line Scope must be set to Pane , which instructs Tableau to calculate and draw a separate line for each pane rather than a single line across the entire table. The line also represents a computed mean rather than a fixed numeric threshold, so the aggregation must be Average . Tableau ' s official documentation states that Table, Pane, and Cell determine the scope of a reference line, while Average places the line at the average value along the applicable axis. A Table-scoped average would produce one overall line, and a Constant would use a manually specified value rather than recalculating per pane.

A reusable custom color palette is defined through Tableau’s preferences configuration rather than by formatting a single worksheet. The Preferences.tps file resides in My Tableau Repository and uses XML tags to define named color palettes and their color values. After the palette is added and Tableau Desktop is restarted, the palette becomes available from the color-palette selector and can be used across workbooks, which matches the branding requirement. Custom shapes are unrelated because they control mark appearance rather than color definitions. Worksheet shading affects only formatting in a particular workbook or sheet, and the standard color picker does not create the same reusable named palette in the manner described by this question. Therefore, modifying the XML in Preferences.tps is the correct exam-aligned method.

The correct order of the three actions is:

Add the date to the Columns shelf. Add the segment and the sales to the Rows shelf.

Aggregate the date to month and year.

From the Analytics pane, drag Forecast to the worksheet.

The first action is to add the date to the Columns shelf and the segment and the sales to the Rows shelf. This will create a line chart that shows the daily sales by segment over time. You can use the Show Me menu to choose a line chart if it is not selected by default.

The second action is to aggregate the date to month and year. This will group the daily sales into monthly sales and show the yearly trend. You can right-click on the date field on the Columns shelf and select Month (January 2017) from the menu. You can also drag Year from the Dimensions pane to the Columns shelf before or after Month.

The third action is to drag Forecast from the Analytics pane to the worksheet. This will add a forecast that predicts future sales by segment based on historical trends. You can customize the forecast by clicking on it and using the options on the Marks card.

The other options are not relevant for this scenario. Adding a trend line would show a linear or nonlinear relationship between two measures, but not a prediction of future values. Creating a calculated field that uses the model quantile function would return a value from a statistical model based on a given quantile, but not a forecast.

To ensure that the data is updated every hour, you need to select Extract Refreshes from the data source menu on Tableau Server. This will allow you to add a new extract refresh schedule or edit an existing one. You can specify the frequency and time of the refresh, as well as any custom options or credentials. New will create a new data source, Connected Workbooks will show you which workbooks use this data source, and Connections will show you which tables or files are connected to this data source. References: https://help.tableau.com/current/server/en-us/refresh_extracts.htm https://help.tableau.com/current/server/en-us/refresh_extracts_add.htm

To ensure that the data is updated every hour on Tableau Server, you would need to go to the " Extract Refreshes " option. Here, you can schedule the data extracts to refresh at the desired frequency, which in this case would be every hour.

Based on the line chart provided, each point on the line chart represents the average sales for a given month, and the percentage values indicate the change in average sales compared to the previous month. The month of November shows a significant increase from the month of October, indicated by a large upward spike on the chart and a high percentage increase.