Analytics-DA-201 Sample Questions Answers

A Parameter action is designed to let users change a parameter value through direct interaction with a visualization. The parameter can then drive a calculated field that determines which measure—such as Sales, Profit, Quantity, or another metric—is displayed on the chart. Tableau ' s current action framework explicitly includes Change Parameter as an action type and notes that parameter actions can be used with calculations to customize how data is displayed. A Set action changes membership in a set, a Highlight action emphasizes selected marks without changing the metric being displayed, and a Filter action restricts the data shown in the target view. Because the requirement is to let the user dynamically select the measure displayed rather than filter or highlight records, the appropriate action type is Parameter .

To create a new calculated dimension field named Category that meets the given conditions, you can use either the IF or the CASE logical function. Both functions allow you to evaluate an expression and return a value based on different scenarios. Option A uses the IF function with multiple ELSEIF clauses to check the value of the Subject field and assign it to either ‘Sciences’ or ‘Humanities’. Option D uses the CASE function with multiple WHEN clauses to do the same thing. Both options will produce the same result, but the CASE function is more concise and easier to read. Option B is incorrect because it will assign ‘Humanities’ to any subject that contains ‘Science’ in its name, which is not the desired outcome. Option C is incorrect because it will only check if the subject ends with ‘Computer Science’ and ignore the other subjects. References:

Logical Functions - Tableau

Tableau Certified Data Analyst Study Guide

Tableau Desktop controls the presentation of printed worksheets through File > Page Setup. The Page Setup dialog contains print-specific settings that are independent of whether the worksheet title is currently visible in the interactive workbook. Under the General settings, Tableau provides a Show section where the analyst can choose whether printed output includes the worksheet title, view, captions, and legends. Therefore, if a hidden title unexpectedly appears in PDF output, the analyst should open Page Setup and disable the title for printing. Export As PowerPoint creates a different output format and does not configure PDF print elements. Share and Export As Version likewise do not control printed worksheet titles. Tableau’s current printing documentation identifies Page Setup as the location for showing or hiding worksheet titles in printed output.

To build the scatter plot shown in the image, you need to place the Profit measure on the Rows shelf and the Sales measure on the Columns shelf. This will create a Cartesian chart with Profit as the y-axis and Sales as the x-axis. Then, you need to change the mark type to Circle on the Marks card. This will display the data points as circles that vary in size according to the Quantity measure. You can also add color or shape encoding to the marks to show additional dimensions or measures in the view. References:

Build a Scatter Plot

Understanding and Using Scatter Plots

Scatter plot in Tableau

In Tableau, the RANK function assigns a rank to each row within a partition of the data, based on the value of the field being ranked. It is important to understand that the rank is recalculated whenever the underlying data or the partitioning changes.

In the given scenario, the Overall Rank is based on the Sales figures, while the Rank (presumably) is based on the Sales within the Category. When filtering on the condition where [Overall Rank] - 1, it means we are excluding the sub-category that has an Overall Rank of 2.

Looking at the data:

Furnishings has an Overall Rank of 8, which does not meet the filter condition ([Overall Rank] - 1). Therefore, its rank remains the same.

Tables have an Overall Rank of 3. When the sub-category with an Overall Rank of 2 is removed (Chairs in this case), Tables move up in the overall ranking. However, since Tables are the top-ranked within the Furniture category, their Rank within the category would remain unchanged at 1.

Chairs have an Overall Rank of 2, which meets the filter condition and thus will be removed from the view. We cannot determine the change in Rank for Chairs because they are filtered out.

Accessories have an Overall Rank of 5. If any sub-category with a higher Overall Rank (1 to 4) is removed, the rank of Accessories within the Technology category could change because it is currently ranked 3 in its category. With the removal of Phones (Overall Rank 1), the Rank of Accessories could potentially increase.

Copiers have an Overall Rank of 6, which does not meet the filter condition. Therefore, its rank remains the same.

Machines have an Overall Rank of 4. If we remove Phones (Overall Rank 1), Machines will move up in the overall ranking and potentially within the Technology category as well, changing its Rank from 2 to 1.

Phones have an Overall Rank of 1, which does not meet the filter condition of being Overall Rank 2. Therefore, its rank remains the same.

Bookcases have an Overall Rank of 7, which does not meet the filter condition. Therefore, its rank remains the same.

Based on this analysis, when the sub-category with an Overall Rank of 2 (Chairs) is removed, the Rank value will change for Tables, Accessories, and Machines, as they will move up in the overall ranking within their respective categories. However, it ' s important to note that while Tables will move up in the overall ranking, their rank within the Furniture category would not change as they are already at the top. The rank changes for Accessories and Machines are due to the removal of Phones, which is ranked higher overall and within the Technology category.

we need to create a calculated field that displays the count of returns only for the first year in the table. To do this, we can use the following formula:

IF FIRST () = 0 THEN COUNT (Returns) END

This formula uses the FIRST () function, which returns the number of rows from the current row to the first row in the partition. If the current row is the first row, then FIRST () returns 0. The IF statement checks if this condition is true, and if so, it returns the count of returns for that row. Otherwise, it returns NULL.

To complete the formula in the calculated field, you should select the following options from the drop-down menus:

FIRST ()

0

COUNT (Returns)

https://help.tableau.com/current/pro/desktop/en-us/functions_functions_date.htm

To configure the dashboard action, you should select Filter as the action type, Select as the run action on option, and All Fields as the target filters option. This will ensure that when a user selects a city on the map, the bar chart will show only the data for the selected city based on all fields in common between the two worksheets. The action will run only when the user selects a different city. References: https://help.tableau.com/current/pro/desktop/en-us/actions.htm https://help.tableau.com/current/pro/desktop/en-us/actions_filter.htm

The Item hierarchy separates the top-level floating objects from the objects nested under the Tiled section. In the exhibit, Show/Hide, Filters Container, and Legend appear at the top level before the Tiled branch. Total Sales and Horizontal Container are nested inside vertical containers under Tiled, so they belong to the tiled layout structure. Tableau distinguishes tiled items, which participate in a non-overlapping layout grid, from floating items, which can be positioned and layered independently. In Tableau Desktop, floating objects appear at the top level of the Item hierarchy and can be reordered to control their layering. Reading the hierarchy therefore identifies B, D, and E as floating, while A and C are contained within the tiled hierarchy and are not floating objects.

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

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.

To minimize the whitespace between the sheets, you should configure the padding of the sheets and the dashboard. Padding is the amount of space between the edge of a sheet or dashboard and its content. You can adjust the padding by using the Layout tab in the Format pane. You can reduce the padding for each sheet by selecting the sheet and changing the values for the inner and outer padding. You can also reduce the padding for the dashboard by selecting the dashboard and changing the values for the outer padding. Reducing the padding will make the sheets and the dashboard more compact and eliminate unnecessary whitespace. References:

Format Dashboards - Tableau

Tableau Certified Data Analyst Study Guide

Tableau Desktop supports custom mark shapes by loading image files from the Shapes folder inside My Tableau Repository. The analyst should copy the new shape files into a folder under My Tableau Repository\Shapes. Tableau uses that folder as a custom shape palette, and the analyst can then select the shapes from the Marks card by choosing Shape and editing the shape assignment. Once custom shapes are used, they are stored with the workbook, which supports sharing the visualization with other users. Dragging image files directly into a workbook does not register them as reusable mark shapes, and a URL cannot be used as the workbook’s shape repository. My Tableau Prep Repository is also incorrect because Tableau Prep is not where Tableau Desktop mark-shape palettes are stored.

To add two sheets to the dashboard that support the Show/Hide button, you can add them to either a horizontal or a vertical container. A container is an object that can hold one or more sheets or other objects and allow you to arrange them in a layout. A Show/Hide button is a feature that lets you hide or show a container and its contents on the dashboard. You can add a Show/Hide button to any container, whether it is tiled or floating, by using the drop-down menu of the container and selecting “Add Show/Hide Button.” You can also customize the appearance and behavior of the button.

To add a horizontal or a vertical container to the dashboard, you can drag them from the Objects pane to the dashboard. A horizontal container will arrange the sheets or objects horizontally, while a vertical container will arrange them vertically. You can then drag the sheets you want to add from the Sheets pane to the container. You can resize and reorder the sheets or objects within the container by using the handles and arrows.

The other objects in the Answer Area, such as text, image, web page, blank, navigation, download, and extension, do not support the Show/Hide button. They are either static elements that cannot hold other objects, or dynamic elements that require user interaction or external sources. You can add them to the dashboard as well, but they will not have the same functionality as a container with a Show/Hide button.

To get the number of different types of awards that have been won, you should use the formula COUNTD({Award}). This formula will return the count of distinct values in the Award field, which are the different types of awards that have been won.

The other options are not correct for this scenario. COVAR({Award}) is not a valid function in Tableau. MAX({Award}) will return the maximum value in the Award field, which may not be a type of award. INDEX() will return the index or rank of each row in a partition, which is not related to the types of awards. References: https://help.tableau.com/current/pro/desktop/en-us/functions_functions_aggregate.htm#COUNTD https://help.tableau.com/current/pro/desktop/en-us/functions_functions_tablecalculation.htm#INDEX

The COUNTD function in Tableau calculates the number of distinct (unique) items in a field. When looking to get the number of different types of awards that have been won, the COUNTD([Award]) function will count each unique award name only once, regardless of how many times it appears in the dataset. This will return the total number of unique award types.

To filter regions based on the highest sales and allow users to specify the number of regions shown, you should perform these actions in order:

Answer area:

Create an integer data type parameter named Param1.

Drag Region to the Filters shelf.

Configure a Top filter by field. Use Param1 and filter by the sum of Sales.

 To create a dynamic filter that lets users choose the number of regions to display, you need to use a parameter and a top filter. A parameter is a user-defined variable that can be used in calculations, filters, and reference lines. A top filter is a type of filter that shows only the top or bottom N values based on a specified field or expression.

In this question, you want to filter regions based on the highest sales. You also want users to be able to specify the number of regions shown. To achieve this, you need to follow these steps:

First, you need to create an integer data type parameter named Param1. This parameter will allow users to enter a number that will determine how many regions to show. You can create a parameter by right-clicking on the Data pane and selecting Create Parameter. Then, you need to specify the name, data type, current value, and allowable values for the parameter. In this case, you can choose Integer as the data type, 10 as the current value, and All as the allowable values. You also need to show the parameter control by right-clicking on the parameter and selecting Show Parameter Control. This will display a slider or a text box where users can enter or adjust the parameter value.

Next, you need to drag Region to the Filters shelf. This will open the Filter dialog box, where you can choose how to filter the Region field. You can filter by general, wildcard, condition, or top. In this case, you want to filter by top, so you need to select the Top tab.

Finally, you need to configure a top filter by field. Use Param1 and filter by the sum of Sales. This will filter the Region field by showing only the top N regions based on the sum of Sales, where N is the value of the parameter Param1. You can configure a top filter by field by selecting By field in the Top tab, then choosing the parameter Param1 from the drop-down list, and selecting the aggregation function Sum and the field Sales from the other drop-down lists. This will create a filter expression that looks like this: Top Param1 by SUM(Sales).

By following these steps, you will create a filter that shows only the regions with the highest sales, and allows users to change the number of regions shown by adjusting the parameter value.

The question presents a scenario where a geographic map visualization in Tableau needs to be transformed from a series of discrete circles representing data points to a density map visualization. The density map shows concentrations of data points with a gradient of color, where denser areas are indicated by a darker color.

Here ' s the explanation for each option:

A. Change the mark type to Density: This is the correct answer because changing the mark type to ' Density ' in Tableau creates a density map, which displays the concentration of data points with a color gradient. This is exactly what is needed to achieve the visual effect shown in the second image, where regions with a higher concentration of data points are represented by darker shades.

B. Drag Location to Size on the Marks card: This option would adjust the size of the marks based on the number of locations, which is not relevant to creating a density map. It would result in varying sizes of circles, not a continuous gradient.

C. Change the mark type to Map: The visualization is already using a map. This option would not change the visualization to the desired density map.

D. Drag Population to Size on the Marks card: This would change the size of the circles based on the population values, making some circles larger and others smaller. This is not how a density map is created, which uses color intensity rather than size to show concentration.

E. Change the opacity to 75%: Changing the opacity would affect the transparency of the marks on the map but would not transform the visualization into a density map.

To achieve the visualization shown in the second image, the mark type must be changed to ' Density, ' which will produce a heat map-like effect where the color intensity represents the concentration of data points. Therefore, the correct answer is A. Change the mark type to Density .

To create a density map from a scatter plot of data points, you would change the mark type to Density. This mark type allows you to visualize the concentration of data points in an area, which can be useful for identifying clusters or patterns in geospatial data.

Set actions allow selections made in a worksheet or dashboard to update membership in an existing set. That set can then be used in calculations or placed on the Marks card to change how another visualization is encoded. A common design is to place set membership on Color, so selecting marks in a source view changes which marks are in or out of the set and therefore changes their colors in a target view. This is exactly the interaction described in option B. Set actions are not intended to join or filter across unrelated data sources automatically, and pie-chart dataset-size comparison is simply a chart-design task. Likewise, highlighting proportions in a Gantt chart is not a defining set-action behavior. The key mechanism is selection-driven set membership that controls a visual property such as Color.

To ensure that the extract also refreshes on the last day of the month at 18:00, you need to add a new extract refresh task to the workbook on Tableau Server. You can do this by selecting the workbook, selecting Refresh Extracts, and then choosing Schedule a Refresh. You can then select an existing schedule that matches your desired frequency and time, or create a new schedule with a custom frequency and time. This will add a new extract refresh task to the workbook, in addition to the existing one that refreshes every Monday at 10:00. You can also modify or delete the extract refresh tasks as needed. References:

Tableau Certified Data Analyst Exam Prep Guide , page 10, section “Publishing and Scheduling Data Refreshes”

Tableau Help: Refresh Data on a Schedule

Tableau Help: Manage Refresh Tasks

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 create a boolean calculated field to place on the data source filter, you should use the formula USERNAME() = [Tableau_user]. This formula will return TRUE if the current Tableau user name matches the value in the Tableau_user field, and FALSE otherwise. You can use this formula as a data source filter by dragging it to the Filters shelf and selecting TRUE from the menu. This will filter the data to show only the rows that are relevant to the specific Tableau user.

The other options are not correct for this scenario. NAME([Tableau_user]) is not a valid function in Tableau. ISFULLNAME([Tableau_user] ) = USERNAME() is not a valid expression in Tableau. ‘S’ + STR([Sales]/1000) is not a boolean expression, but a string expression that converts sales to thousands with a prefix of “S”. References: https://help.tableau.com/current/pro/desktop/en-us/filtering_datasource.htm https://help.tableau.com/current/pro/desktop/en-us/functions_functions_logical.htm#USERNAME https://help.tableau.com/current/pro/desktop/en-us/calculations_calculatedfields.htm

In Tableau, the USERNAME() function returns the username of the user who is currently logged in. To create a filter that only shows data relevant to the logged-in Tableau user, a boolean calculated field can be created to compare the current username with the usernames listed in the Tableau_User_Name field of the dataset. Therefore, the correct formula for this filter is USERNAME() = [Tableau_USER_NAME] , which will return true for rows where the Tableau_User_Name matches the current user ' s username.

https://help.tableau.com/current/pro/desktop/en-us/parameters_swap.htm

This formula uses a parameter (Pick Measure) to switch between the Sales and Profit measures. When the user selects ' 1 ' , it shows Sales, and when ' 2 ' is selected, it shows Profit. This dynamic switching is enabled by the Case function.

Tableau ' s Layer Control is specifically designed for maps containing multiple geographic mark layers. When enabled, it gives users an interactive panel from which individual map layers can be shown or hidden and interactions with particular layers can also be enabled or disabled. Tableau Desktop authors enable this feature through Map > Map Options > Layer Control before publishing the workbook. A parameter could theoretically drive custom calculations, but it is unnecessary because Tableau already supplies native layer-visibility controls. The Filter shelf filters underlying data values rather than directly controlling geographic mark-layer visibility. A dual-axis map is also unnecessary and is more limited than Tableau ' s current multi-layer mapping architecture. Therefore, C is the direct, officially supported method for allowing users to toggle map layers independently.

Using relationships: You can use relationships to link the secondary data source with the primary data source based on a common field. This will allow you to use fields from both data sources in your visualization without creating new fields or duplicating data. You can then replace references to update the dimension values. For example, you can use relationships to link the updated dorm codes with the primary data source and then replace Dorm_Code with Dorm_Code_New in your visualization.

https://community.tableau.com/s/question/0D54T00000C5ldZSAR/update-data-view-based-on-dimension

To update existing visualizations with new codes without changing the field name, using relationships to bring in the secondary data source is appropriate. Then using Replace References allows you to update the references from the old dorm codes to the new ones while maintaining the existing field name.

The When Workbook Opens setting creates a dynamic parameter domain based on values obtained from a data source field. When the workbook opens—or when the relevant data source is refreshed—Tableau can update the parameter’s allowable list or range from the current data rather than retaining a static list created earlier. Consequently, users can select values that currently exist in the refreshed field domain. Option A describes a static list whose values remain limited to what existed when the parameter was initially created. Option B describes an unrestricted parameter rather than a dynamic list, while option C describes a manually configured fixed range. Tableau’s parameter documentation states that selecting When the workbook opens refreshes a List or Range parameter’s domain from its data source.

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

A scatter plot requires two quantitative measures on opposing axes, so Math Score should be placed on Rows and History Score on Columns. To produce one mark for each student rather than a single aggregated mark, Student ID should be placed on Detail on the Marks card. The exhibit also contains a linear model line, which is created by dragging Trend Line from the Analytics pane onto the view. A reference line is different: it marks a fixed or computed value on an axis and does not model the relationship between two measures. Adding both score fields to the Marks card is also unnecessary because their positions are already defined by the Rows and Columns shelves. These steps follow Tableau’s standard scatter-plot and trend-line workflow.

To show the corresponding region when users hover their mouse over any of the bars, you need to drag Region to Tooltip on the Marks card. This will add Region as a field in the tooltip text that appears when users hover over a mark. You can also customize the tooltip text by editing it in the Tooltip dialog box. References: https://help.tableau.com/current/pro/desktop/en- us/buildmanual_shelves.htm https://help.tableau.com/current/pro/desktop/en-us/formatting_tooltips.htm

To show additional information such as the corresponding region when hovering over a bar in Tableau, you can drag the ' Region ' field to the ' Tooltip ' shelf on the ' Marks ' card. This will ensure that when a user hovers over a bar representing a city, the tooltip will dynamically display the region associated with that city.

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 requirement is based on total sales by store, so the filter must operate on the Store Number dimension while evaluating an aggregated Sales condition. Tableau dimension filters provide a Condition tab that can retain dimension members according to an aggregate measure, for example SUM([Sales]) > = 500. Applying that logic as an extract filter ensures that only qualifying store members are included in the resulting extract. Filtering the Sales measure by an “at least” row-level value would incorrectly evaluate individual records rather than each store’s total. A Top filter ranks members and is intended for top or bottom N selection, not for a fixed minimum total. Therefore, the analyst should filter Store Number by a condition based on Sales, which corresponds to option B.

To make a workbook available in Tableau Online, you need to publish it from Tableau Desktop to Tableau Online. You can do this by selecting Publish Workbook from the Server menu, signing in to your Tableau Online account, choosing a project and a name for your workbook, and clicking Publish. This will upload your workbook and its data sources to Tableau Online, where you can view, edit, and share it with others. References:

Tableau Certified Data Analyst Exam Prep Guide , page 10, section “Publishing and Scheduling Data Refreshes”

Tableau Help: Publish a Workbook

Extensions in Tableau are web-based programs that can interact with dashboards. To add a button that allows users to export the dashboard as an image, you would use an Extension object. This could be a custom extension designed to trigger the download of the dashboard view as an image.

A reference line is used in Tableau to display a line at a constant value or a computed value such as an average, median, minimum, or maximum in a bar chart. In this case, adding a reference line would allow you to show the median, upper quartile, and lower quartile, which corresponds to the changes shown in the bar chart.

Both IFNULL and ZN can replace null numeric values with zero. IFNULL([Profits], 0) returns the Profit value when it is non-null and explicitly returns 0 when the field is null. ZN([Profits] ) is a specialized null-handling function that returns the original expression when a value exists and zero when it is null. Tableau’s documentation specifically describes ZN as useful for replacing null numeric values with zeros. ISNULL([Profits]) returns a Boolean TRUE/FALSE result rather than a numeric replacement. Option C is also inappropriate because nulls cannot be reliably tested by ordinary equality or inequality comparisons; Tableau supplies ISNULL for that purpose, and the proposed formula does not substitute zero. Therefore, A and D both produce the required numeric result while retaining existing non-null Profit values.

A Tableau Web Data Connector is designed to retrieve data available over HTTP or HTTPS and make that data available to Tableau. A common use case is connecting to a web service or REST API, transforming the returned information into the structure expected by Tableau, and creating an extract for analysis. Tableau documentation lists REST APIs, JSON data, XML data, and internal web services among the sources accessible through Web Data Connectors. A WDC is not a web analytics utility for capturing site traffic, nor is its fundamental purpose generic HTML-table scraping or publishing data to a corporate website. Although newer Tableau releases are moving toward newer connector technologies, the functionality tested by this Tableau Data Analyst question remains connection to web-accessible data such as an API.

1) Open Tableau prep

2) Create a new column ...

3) Union the sales ...

4) Join the sales ...

Tableau Desktop provides a dedicated Swap Sheets capability for replacing one dashboard worksheet with another while retaining much of the original dashboard object’s formatting. The correct workflow is to first select Sheet 3 on the dashboard, hover over Sheet 2 in the Sheets list, and click the Swap Sheets button. Tableau’s current documentation describes this procedure for replacing dashboard sheets. It also notes that padding, border, and background color are retained, although the replacement may require size adjustments if its content differs. Removing Sheet 3 would simply delete the current dashboard item. Adding Sheet 2 separately would not perform the controlled replacement, and Deselect has no role in sheet replacement. Therefore, D is the correct Tableau Desktop workflow.

To combine two sets, they must have at least one dimension in common. In this case, Customers of 2020 and Top N Customers both have Customer Name as a dimension, so they can be combined using set operations such as union, intersection, or difference. Sellers of 2020 and Top N Products have different dimensions (Seller Name and Product Name), so they cannot be combined. References: https://help.tableau.com/current/pro/desktop/en-us/sets.htm https://help.tableau.com/current/pro/desktop/en-us/sets_create.htm#combine-sets

In Tableau, sets can be combined if they are created from the same dimension. From the options provided, " Customers of 2020 " and " Top N Customers " are likely created from the same dimension (Customers). Therefore, these two sets can be combined to create a new set that includes or excludes members based on the combined criteria. Combining sets like " Top N Products " with " Customers of 2020 " would not be feasible unless they are from the same dimension, which is typically not the case.

In Tableau, to replace a sheet on a dashboard, you can simply drag the desired sheet (Sheet2 in this case) from the sheets list onto the dashboard where the current sheet (Sheet3) is. This will replace the existing visualization with the new one.

Select

Where

The correct way to complete the query is:

SELECT * FROM [dbo] . [Students]

WHERE [Students].[City] = ‘Berlin’

The SELECT statement is used to retrieve data from a table or a view. The * symbol means that all columns will be returned. The FROM clause specifies the table or view name and the schema name.

The WHERE clause is used to filter the data based on a condition. The condition is [Students].[City] = ‘Berlin’, which means that only rows where the City column of the Students table is equal to ‘Berlin’ will be returned.

The other options are not relevant for this query. CAST is a function that converts a value from one data type to another. JOIN is a clause that combines data from two or more tables based on a common field. ON is a keyword that specifies the join condition. UNION is a set operation that combines the results of two or more queries into one result set.

To change the story point format to show the current story point number out of the total number of story points, you should use the Numbers option in the Layout tab. This option will display the story points as numbers in a horizontal or vertical sequence, such as 1/2, 2/2. You can also choose to show or hide the next and previous arrows for navigation. The Numbers option will help you indicate the progress and order of your story points more clearly than the other options. References:

Creating a Story - Tableau

New in 9.0: Formatting the Story Points Navigator - Tableau

Tableau Certified Data Analyst Study Guide

To determine the Rank Score value for Student ID 4220, we look at the visualization provided and apply the table calculation of RANK(AVG([Score])) . This function will rank the average scores in ascending order by default, with the lowest score receiving the rank of 1.

Based on the provided visualization, the scores for the students are as follows (from lowest to highest average score):

Student ID 4183: 39 (Rank 1)

Student ID 4220: 71 (Rank 6)

Student ID 4247: 71 (Rank 6, same score as ID 4220 so they share the same rank)

Student ID 4124: 75.5

Student ID 4050: 64

Student ID 4205: 67

Student ID 4056: 66

Since Student ID 4220 has an average score of 71, which is the third-highest score, it shares the rank with Student ID 4247. However, since Tableau ranks without gaps, the actual rank assigned is 6, considering that there are two students with a rank of 4 (due to the same average score being the second lowest), making the next rank number 6.

Note: The actual ranks for the highest scores are not provided, but they are not needed to determine the rank for Student ID 4220.

https://help.tableau.com/current/prep/en-us/prep_calculations.htm

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.

Both the ZN and IFNULL functions in Tableau can be used to replace NULL values with zeros. The ZN function converts NULL to zero directly, while the IFNULL function allows you to specify that NULL should be replaced with zero. Both will result in showing zero for any NULL values in the Profits field.

To combine the lines to appear as shown in the second chart, you should set Discount to Dual Axis. Dual Axis is a feature that allows you to show two measures on two separate axes on one chart. You can create a dual axis by right-clicking on a measure on any shelf and selecting Dual Axis from the menu. This will create two axes on one chart and synchronize their scales.

In this case, you want to show Profit and Discount on two separate axes on one chart. You can right-click on Discount on any shelf and select Dual Axis from the menu. This will create a dual axis chart that shows Profit and Discount as two lines with different colors.

The other options are not correct for this scenario. Dragging Discount to Color on the Marks card will change the color of Profit based on Discount, but it will not show two lines. Converting Discount to Discrete will change Discount from a green pill to a blue pill, but it will not affect how it appears on the chart. Dragging Discount to Columns shelf will create two separate charts for Profit and Discount, but it will not combine them. References: https://help.tableau.com/current/pro/desktop/en-us/multiplemeasures.htm https://help.tableau.com/current/pro/desktop/en-us/multiplemeasures_dualaxes.htm