Tableau TDA-C01 Dumps

To connect a Tableau workbook to a dataset in a Microsoft Excel spreadsheet, you need to select New Data Source from the Data menu. This will open the Connect pane, where you can choose Microsoft Excel as your data source and browse for your spreadsheet file. You can then drag and drop your sheets or tables to join or union them in the data source page. References:

When connecting to a dataset in Tableau Desktop, you would go to the 'Data' menu and select 'New Data Source'. This allows you to connect to various types of data sources, including Microsoft Excel spreadsheets, where you can then select the specific file you wish to connect to.

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 area where the current sheet (Sheet3) resides. This action will replace the existing sheet with the new one. Right-clicking and adding to the dashboard adds an additional sheet rather than replacing, and the context menu options mentioned in the other choices are not the standard methods for replacing sheets within a dashboard.

To calculate the ranking shown in the Rank field, you need to use the RANK_UNIQUE function, which returns the unique rank of each value in a partition. You need to specify the expression as SUM([Sales]), which calculates the total sales for each product. You also need to specify the order as descending, which means that the highest sales will have the lowest rank. Finally, you need to specify the restart as every [Category], which means that the ranking will reset for each category. References:

To resume a suspended alert, you need to go to the My Content area of Tableau web pages, where you can see all the alerts that you own or subscribe to. You can click on the alert name and then select Resume from the menu. You can also edit or delete the alert from there. References:

In Tableau, the "My Content" area on the web interface is the place where a user can manage their content, including workbooks, data sources, and alerts. If an alert is suspended, the owner of the alert can go to the "My Content" area to resume it.

The box plot visualization displays the distribution of average profits by region. The distribution of profits is represented by the range of the box (interquartile range) and the whiskers (which often represent the total range excluding outliers). From the image provided, the South region has the smallest visible range within its box and the shortest whiskers, indicating the smallest distribution of average profits among the choices provided.

In Tableau, you can manage the visibility of different visualizations on a dashboard using various techniques. Among the options provided, the most straightforward method to allow users to switch between two visualizations is to use show/hide buttons.

Here's why each option is or isn’t suitable for the requirement:

A. A parameter and a calculated field: While it's possible to use a parameter and a calculated field to control which visualization is displayed, it requires creating a calculated field that responds to a parameter and then using that field to filter the view. This method can become complex and is not as user-friendly for simply showing and hiding visualizations.

B. Worksheet actions: Worksheet actions in Tableau typically allow users to interact with the data within a visualization, such as filtering data or highlighting related data points when clicking or hovering. They are not designed to control the visibility of entire visualizations on a dashboard.

C. Show/hide buttons: Show/hide buttons are a feature specifically designed to manage the visibility of dashboard elements. When you create a show/hide button, it can be configured to display or hide a particular visualization, container, or any other dashboard element when clicked. This provides a very intuitive interface for users to switch between visualizations.

D. Dashboard actions: Dashboard actions, like worksheet actions, are used to create interactions between sheets, such as filtering data or navigating to other sheets or URLs based on user interactions. They are not intended for toggling the visibility of visualizations.

Therefore, the correct answer is C. Show/hide buttons as they provide a user-friendly way to switch between visualizations on a dashboard without the need for complex calculations or actions that aren't meant for this purpose. The show/hide button feature is specifically designed for toggling visibility and offers a simple and effective solution for the requirement.

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:

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.

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:

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.

A .hyper file is an extract file that contains a snapshot of data from a data source. It is a compressed and optimized file format that can be used to improve the performance and portability of dashboards and workbooks. A .twb file is a workbook file that contains the visualization and connection information, but not the data itself. A .csv file is a comma-separated values file that contains plain text data. A .mdb file is a Microsoft Access database file that contains tables, queries, forms, and other objects. References:

In Tableau, a .hyper file is an extract file created by the Hyper database engine. It contains a snapshot of the data pulled into Tableau and is used to perform data analysis without the need for a live connection to the data source.

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:

To modify the chart to show only min and max values of both measures in each region, you need to do the following steps:

• Open the link to Book1 found on the desktop. This will open the Tableau workbook that contains the Line worksheet.
• Click on the Line tab at the bottom of the workbook to open the worksheet. You will see a line chart that shows the sales and profit for each month by region.
• Drag Month from the Columns shelf to Filters shelf. This will open a dialog box that allows you to filter by different criteria.
• Select Range of Dates from the dialog box. This will show you options to filter by a range of dates or values.
• Select Minimum and Maximum from the drop-down list next to Month. This will filter by the minimum and maximum values of Month for each region. You can also enter specific values or use the sliders to adjust the range.
• Click OK to apply the filter. You will see that the line chart now shows only min and max values of both measures in each region.

References:

To replace the existing data source with the Netflix_2019 data source, you need to do the following steps:

• Open the link to Book1 found on the desktop. This will open the Tableau workbook that contains the Movie Durations worksheet.
• Click on the Movie Durations tab at the bottom of the workbook to open the worksheet. You will see a bar chart that shows the number of movies by duration for the existing data source.
• 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 existing 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 Netflix_2019 from the list of available data sources and click OK. This will replace your existing data source with the Netflix_2019 data source and update your worksheet accordingly. You may need to fix any broken fields or calculations that result from the replacement.

References:

To add the Sales by State sheet in a Show/Hide button to the right side of the dashboard, you need to do the following steps:

• Open the link to Book1 found on the desktop. This will open the Tableau workbook that contains the sales dashboard.
• Click on the sales dashboard tab at the bottom of the workbook to open the dashboard. You will see a dashboard that shows various charts and filters related to sales data.
• Drag Sales by State from the Sheets pane to the right side of the dashboard. This will add the sheet as a floating element on the dashboard. You can resize and position it as you like.
• Right-click on Sales by State and select Add Show/Hide Button from the menu. This will add a button that allows you to show or hide the sheet on the dashboard. You can customize the appearance and behavior of the button by clicking on it and using the options on the Marks card.
• Optionally, you can drag a vertical layout container from the Objects pane to the right side of the dashboard and place Sales by State and its button inside it. This will help you organize your dashboard elements and align them neatly.

References:

To create a filled map to show the distribution of total Sales by State across the United States, you need to do the following steps:

• Open the link to Book1 found on the desktop. This will open the Tableau workbook that uses the Superstore data source.
• Click on the Map tab at the bottom of the workbook to open the Map worksheet. You will see a blank worksheet with no marks.
• Drag State from the Dimensions pane to Detail on the Marks card. This will create a map that shows each state as a mark. You may need to zoom in or out to see the whole map.
• Drag Sales from the Measures pane to Color on the Marks card. This will create a filled map that shows the distribution of total Sales by State across the United States. The color legend will show you the range of values and colors for Sales.
• Optionally, you can adjust the color scheme, transparency, size, and borders of the marks by clicking on the Color menu on the Marks card. You can also add labels, tooltips, or filters to enhance your map.

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To split the Customer Name field into two fields named First Name and Last Name, you need to do the following steps:

• Open the link to Book1 found on the desktop. This will open the Tableau workbook that uses the Superstore data source.
• 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 Superstore data source.
• Right-click on Customer Name in the table and select Split from the menu. This will split the field into two fields based on a separator, which is a space by default. You will see two new fields named Customer Name - Split 1 and Customer Name - Split 2 in the table.
• Right-click on Customer Name - Split 1 and select Rename from the menu. Type First Name as the new name and press Enter. This will rename the field as First Name.
• Right-click on Customer Name - Split 2 and select Rename from the menu. Type Last Name as the new name and press Enter. This will rename the field as Last Name.

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To create a histogram on the Quantity field by using bin size of 3, you need to do the following steps:

• Open the link to Book1 found on the desktop. This will open the Tableau workbook that uses the Superstore data source.
• Click on the Histogram tab at the bottom of the workbook to open the Histogram worksheet. You will see a blank worksheet with no marks.
• Right-click on Quantity in the Measures pane and select Create Bins from the menu. This will open a dialog box that allows you to create bins for the Quantity field. Bins are groups of values that are treated as one unit in a histogram.
• Enter 3 in the Size of bins text box. This will set the bin size to 3, which means that each bin will contain values that are 3 units apart. For example, one bin will contain values from 0 to 2, another bin will contain values from 3 to 5, and so on.
• Click OK to create the bins. You will see a new field named Quantity (bin) in the Measures pane with a # sign next to it.
• Drag Quantity (bin) from the Measures pane to Columns on the worksheet. This will create a histogram that shows the distribution of Quantity by bins. You will see bars that represent the frequency or count of values in each bin.
• Optionally, you can adjust the width, color, and labels of the bars by using the options on the Marks card. You can also add filters, tooltips, or annotations to enhance your histogram.

References:

To modify the bar chart to show the percentage of sales for each Subcategory within every Category, you need to do the following steps:

• Open the link to Book1 found on the desktop. This will open the Tableau workbook that contains the CategoryPercentage worksheet.
• Click on the CategoryPercentage tab at the bottom of the workbook to open the worksheet. You will see a bar chart that shows the total sales for each Subcategory across all Categories.
• Right-click on Sales on the Columns shelf and select Add Table Calculation from the menu. This will open a dialog box that allows you to apply a calculation to your measure.
• Select Percent of Total from the Calculation Type drop-down list. This will calculate the percentage of sales for each Subcategory out of the total sales for all Subcategories.
• Select Category from the Compute Using drop-down list. This will calculate the percentage of sales for each Subcategory within every Category, instead of across all Categories. The total percentage for every Category will be 100%.
• Click OK to apply the table calculation. You will see that the bar chart now shows the percentage of sales for each Subcategory within every Category.

References:

To filter the table to show the Top 10 NOC based on the number of medals won, you need to do the following steps:

• Open the link to Book1 found on the desktop. This will open the Tableau workbook that contains the Disciplines worksheet.
• Click on the Disciplines tab at the bottom of the workbook to open the worksheet. You will see a table that shows the NOC, discipline, and medals for each country.
• Drag Medals from the Measures pane to the Filters shelf. This will open a dialog box that allows you to filter by different criteria.
• Select Top from the dialog box. This will show you options to filter by the top or bottom values of a field.
• Enter 10 in the text box next to By field. This will filter by the top 10 values of Medals.
• Select NOC from the drop-down list next to By field. This will filter by the top 10 values of NOC based on Medals.
• Click OK to apply the filter. You will see that the table now shows only 10 rows, one for each NOC with the highest number of medals.

References:

To add a distribution band on Profit to show the standard deviation from -1 to 1, you need to do the following steps:

• Open the link to Book1 found on the desktop. This will open the Tableau workbook that contains the SalesVSProfit worksheet.
• Click on the SalesVSProfit tab at the bottom of the workbook to open the worksheet. You will see a scatter plot that shows the relationship between Sales and Profit for each Sub-Category.
• Click on the Analytics tab on the left side of the workbook to open the Analytics pane. You will see a list of analytical objects that you can drag and drop onto your worksheet.
• Drag Distribution Band from the Analytics pane to Profit on the Rows shelf. This will add a distribution band on Profit that shows the average and confidence interval for each Sub-Category.
• Click on the Edit button on the distribution band to open the Edit Distribution Band dialog box. You will see options to customize your distribution band.
• Change the Band From value to -1 and the Band To value to 1. This will change the distribution band to show the standard deviation from -1 to 1, which means one standard deviation below and above the average.
• Click OK to apply the changes. You will see that the distribution band now shows a narrower range of values for Profit.

References:

To filter the table to show the members of the Top10 set and the Bottom10 set, you need to do the following steps:

• Open the link to Book1 found on the desktop. This will open the Tableau workbook that contains the Disciplines worksheet.
• Click on the Disciplines tab at the bottom of the workbook to open the worksheet. You will see a table that shows the disciplines, sales, and profit for each salesperson.
• Click on the drop-down arrow next to Salesperson on the Filters shelf. This will open a menu that allows you to filter by different criteria.
• Select Set from the menu. This will show you the sets that are available for the Salesperson field. You will see Top10 and Bottom10 as two sets that have been created based on the sales ranking.
• Check the boxes next to Top10 and Bottom10. This will filter the table to show only the members of these two sets. You can also click on All to deselect all other values.
• Click OK to apply the filter. You will see that the table now shows 20 rows, 10 for each set.

References:

There are different ways to create a table calculation that shows sales growth over each year, but one possible answer is:

• SUM([Sales])
• LOOKUP(SUM([Sales]), -1)
• PREVIOUS_VALUE(0)

 To calculate the sales growth over each year, you need to compare the current year’s sales with the previous year’s sales and divide the difference by the previous year’s sales. You can use the SUM, LOOKUP, and PREVIOUS_VALUE functions to achieve this. The SUM function returns the total sales for each year. The LOOKUP function returns the value of an expression in a target row, specified as a relative offset from the current row. The PREVIOUS_VALUE function returns the value of the expression in the previous row, or a specified value if there is no previous row. The formula for the table calculation is:

(SUM([Sales]) - LOOKUP(SUM([Sales]), -1)) / PREVIOUS_VALUE(0)

This formula subtracts the sales of the previous year (LOOKUP(SUM([Sales]), -1)) from the sales of the current year (SUM([Sales])) and divides the result by the sales of the previous year. If there is no previous year, the formula uses 0 as the denominator (PREVIOUS_VALUE(0)) to avoid division by zero errors.

References:

• Tableau Certified Data Analyst Exam Prep Guide, page 11, section “Creating Calculated Fields”
• Tableau Help: SUM Function
• Tableau Help: LOOKUP Function
• Tableau Help: PREVIOUS_VALUE Function

The two formulas that will return a value of true if a month has sales greater than $50,000, otherwise the formula must return a value of false, are:

B. IIF(SUM([Sales]) > 50000, TRUE, FALSE) D. [Sales] > 50000

The IIF function is a logical function that returns one value if a condition is true, and another value if the condition is false. In this case, the condition is SUM([Sales]) > 50000, which means that the sum of sales for a month is greater than $50,000. The function will return TRUE if the condition is true, and FALSE if the condition is false.

The comparison operator > is a logical operator that returns TRUE if the left operand is greater than the right operand, and FALSE otherwise. In this case, the operands are [Sales] and 50000, which means that the sales for a month are greater than $50,000. The operator will return TRUE if the sales are greater than $50,000, and FALSE otherwise.

The other options are not correct for this scenario. The IN function is a logical function that returns TRUE if a value is in a set of values, and FALSE otherwise. In this case, the value is SUM([Sales]), which is not in the set of values (50000). The function will always return FALSE. The MAX function is an aggregation function that returns the maximum value in a field or expression. In this case, the field or expression is [Sales], 50000, which is not valid syntax. The function will return an error. References:

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

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:

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.

To complete the formula, you should drag the option MAX from the list of options and drop it into the first blank space, and then drag the option [Sales] and drop it into the second blank space. The formula will look like this: Option (MAX) Option ([Sales]). This formula will calculate the maximum value of the sales field for each country. You can use this formula to create a calculated field that will show the highest sales amount for each country in your data source. References:

• Create a Simple Calculated Field - Tableau
• MAX Function - Tableau
• Tableau Certified Data Analyst Study Guide

To unsubscribe from the views, you should use the My Content area of Tableau web pages. This area allows you to manage your subscriptions, as well as your workbooks, views, and data sources. You can select the views you want to unsubscribe from, click Actions, and then click Unsubscribe. You can also change the subscription options, such as the schedule, the format, or the message. References:

• Create a Subscription to a View or Workbook - Tableau
• Tableau Certified Data Analyst Study Guide

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:

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 apply a custom data role to a field, you need to select the data type of the field and then choose the data role from the list of available roles. This will validate the values in the field against the data role and mark any invalid values with a red exclamation mark. To fix the invalid values, you can use the Group Values option and select the Spelling algorithm, which will group values that are close in spelling and replace them with the most frequent value in the group. This will help you standardize the values in the Material field and match them with the Role1 data role. References: The information is based on the following sources:

• Use Data Roles to Validate your Data - Tableau
• New in Tableau Prep: Automatically identify data quality issues with Data Roles

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:

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