Free and Premium Salesforce Analytics-DA-201 Dumps Questions Answers

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:

The correct Level of Detail (LOD) expression to calculate the grand total of sales across all regions would be {SUM(Sales)}. The FIXED expression is not needed here because we are not computing the sum at the level of each region, but rather the total sum across all regions. The FIXED keyword is typically used to aggregate at a certain level regardless of the view.

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.

To share a dashboard that contains confidential information about patients health and needs to always be up to date for a team of healthcare workers, you should publish it to Tableau Server. This will allow you to control who can access and interact with your dashboard, as well as schedule automatic refreshes of your data source or extract. Publishing to Tableau Public would expose your data to anyone on the internet, printing to PDF would not update your data, and exporting as a .twbx would require sending a large file that might not be compatible with other versions of Tableau. References:

When sharing sensitive and confidential information that needs to be kept up-to-date, such as patient health data for a team of healthcare workers, the best practice is to publish the dashboard to Tableau Server. Tableau Server is designed for secure, controlled access and can be configured to ensure that data is refreshed as needed. Publishing to Tableau Public is not secure for confidential data, printing to PDF or exporting as a .twbx does not allow for live data updates.

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.

In Tableau dashboards, floating elements are those that can be freely moved over the dashboard canvas without being snapped into the tiled layout. The floating elements are often indicated by their standalone frames and the ability to overlap with other dashboard items. From the provided image, the state filter and the Rate of Obesity chart can be identified as floating if they can be moved independently of the tiled grid layout that constrains other elements.

1) Open Tableau prep

2) Create a new column ...

3) Union the sales ...

4) Join the sales ...

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:

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.

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:

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.

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.

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 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.

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:

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.

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.

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 configure the shapes to be much larger than the line, you need to duplicate Population and drag it to the second Marks card. This will create a dual axis chart with two measures on one axis. You can then select Shape on one Marks card and Line on another Marks card, and adjust the size of each mark independently using the Size slider or menu. References:

In a dual-axis chart in Tableau, if you want to have two different visual mark types (like a shape and a line) and configure them differently (such as making one larger than the other), you would need to duplicate the measure. You then drag this duplicate to the second Marks card (which represents the second axis). There, you can adjust the size of the marks (shapes, in this case) independently of the line marks on the first Marks card.

The LAST() function in Tableau returns the number of rows from the current row to the last row in the partition. When you compute using 'Order Date', it will change the partitioning of the calculation. If 'Consumer' in '2018' is the last row in its partition when computed by 'Order Date', then LAST() will return 0 for that cell.

The LAST() function in Tableau is a table calculation that returns the number of rows from the current row to the last row in the partition. The value of LAST() is 0 for the last row, increases by 1 for each row above the last row, and can be negative for rows below the current row if there are such rows in the partition.

In the provided visualization, LAST() is set to compute using Table (across). Changing the compute mode to use "Order Date" will adjust the partitioning of the data upon which the LAST() function is calculated. Since "Order Date" is likely to be a unique value per row (assuming each order has a unique date), each row becomes its own partition.

For the Consumer segment of the year 2018, if "Order Date" is unique for each row, then the last row in each partition (in this case, each individual row) will have a LAST() value of 0 because there are no other rows in the partition - it's the last row of its own partition.

Therefore, when you change the compute mode of LAST() to use "Order Date", each cell under the Consumer segment for the year 2018 will have the LAST() value of 0, because each order date creates a partition of one, making every row the last in its partition.

Common Characters: Find and group values that have letters or numbers in common. This option uses the ngram fingerprint algorithm that indexes words by their unique characters after removing punctuation, duplicates, and whitespace. This algorithm works for any supported language. This option isn't available for data roles. For example, this algorithm would match names that are represented as "John Smith" and "Smith, John" because they both generate the key "hijmnost". Since this algorithm doesn't consider pronunciation, the value "Tom Jhinois" would have the same key "hijmnost" and would also be included in the group.

Sales: B. Columns

Profit: D. Rows

Customer Name: C. Detail on the Marks card

Category: A. Color on the Marks card

To create the visualization, you need to drag Sales to Columns, Profit to Rows, Customer Name to Detail on the Marks card, and Category to Color on the Marks card. This will create a scatter plot that shows the relationship between Sales and Profit for each Customer Name, with different colors for each Category.

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 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.

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.

To make Sales appear automatically as shown in the second table, you should change the default number format of the Sales field. The default number format is how Tableau displays a field when you drag it to a worksheet. You can change the default number format by right-clicking on the field and selecting Default Properties > Number Format from the menu. This will open a dialog box where you can choose a category, such as Currency or Percentage, and customize the options, such as decimal places or prefixes.

In this case, you want to change the default number format of Sales to Currency with zero decimal places and a custom prefix of “S”. This will make Sales appear as “S” followed by the rounded value in thousands.

The other options are not correct for this scenario. Changing the data type of Sales to String will not affect how it appears on a worksheet. Creating a calculated field that uses a formula will not change the default number format of Sales, but create a new field that you have to drag to a worksheet. Converting Sales to Attribute will return only one value for each partition of data, which will not show any variation over time. References:

To achieve the formatting as shown in the example, where sales figures are displayed with a "K" to represent thousands and rounded to the nearest thousand (e.g., $20K, $44K, etc.), you would need to adjust the default number format of the Sales field in Tableau. By changing the default number format, every instance where the Sales field is used would automatically reflect this new formatting. This is more efficient than creating a calculated field as it preserves the numeric nature of the field, allowing for further numerical operations and aggregations.

To combine the tables by using Tableau Prep and include only values from Table1 that do not match any values in Table2, you should use a left only join. A left only join is a type of join that returns only the rows from the primary table (Table1) that have no matching rows in the secondary table (Table2). The field values from Table2 will appear as null values in the combined table. A left only join is also known as an anti-join or an exclusion join. References:

Tableau Certified Data Analyst Exam Prep Guide, page 9, section “Preparing Data”

Tableau Help: Join Your Data

Tableau Help: Left Only Join

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 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.

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.

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.

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.

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.

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.

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.

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.

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.

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.