Salesforce Analytics-DA-201 Salesforce Certified Tableau Data Analyst Exam Practice Test

Tableau Prep provides a New Rows step specifically for filling gaps in sequential numeric or date data. When a dataset should contain one record per day but some dates are absent, New Rows can generate the missing date records between existing dates or within a defined range. The analyst can set the increment to one day and choose how other fields in the generated records are populated, such as Null, zero, or values copied from the previous row. Union combines rows from separate tables, Pivot reshapes columns and rows, and Aggregate changes the level of detail by grouping records. None of those operations is designed to manufacture missing dates in a sequence. Therefore, New Rows is the correct Tableau Prep operation for this requirement.

A Go to URL action is the correct Tableau action for opening an email client from a dashboard object. Tableau URL actions can target external resources and support the mailto: URL scheme. The analyst can configure the source sheet or mark represented by the envelope icon and use a URL such as mailto:support@example.com. When the user activates the configured action, the operating system opens the default email application with the destination address populated. Change Set Values modifies set membership, Filter actions restrict marks in target views, and Go to Sheet navigates to another worksheet, dashboard, or story in the same workbook. None of those actions can launch a pre-addressed email. Therefore, Go to URL is the appropriate action type for the requirement.

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

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 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

In the context of filtering data in Tableau, both string and integer parameters can be used to dynamically filter data. A string parameter can be used to filter text-based values, while an integer parameter is suitable for numerical values. In the provided dataset and result URLs, it appears that a unique identifier or key (which could be a string or integer) is being used to filter specific data entries. References: The information is based on the following sources:

An Introduction to Parameters in Tableau

Create Parameters - Tableau

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

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.

A Top N filter is applied to categorical members, so the field being filtered should be a discrete dimension. When a discrete dimension is placed on the Filters shelf in Tableau Desktop, the Filter dialog provides General, Wildcard, Condition, and Top tabs. The Top tab can then retain the top or bottom N members based on an aggregate measure, such as the top 10 customers by SUM(Sales). A continuous measure uses quantitative range filtering rather than the dimension-member Top interface. A table calculation is evaluated later in Tableau’s order of operations and is not the field type used to configure a standard Top N dimension filter. A set can itself be defined using a Top rule, but it is a separate object rather than the required field type for this filter. Therefore, C is correct.

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

A Gantt chart is specifically designed to represent the duration of events or activities along a time axis. Each Gantt mark normally begins at a date or time position, while the mark’s size represents the duration of the activity. This makes the visualization highly appropriate for project schedules, where analysts need to see when individual tasks start and how long each task lasts. Tableau’s official documentation describes Gantt charts as a method for showing event or activity duration and demonstrates their use for elapsed time between dates. Regional performance comparison would normally use bars, maps, or other comparative visualizations. Correlation analysis is better suited to a scatter plot, while long-term budget trends are normally displayed with line charts. Therefore, C is the appropriate Gantt chart use case.

To organize the tables in the Data pane based on the type of data contained within the tables, you should use folders. Folders are a way to manually group fields, parameters, sets, or tables in the Data pane according to your preference. You can create folders by right-clicking on the fields or tables you want to group and selecting Folders > Create Folder. You can also drag and drop fields or tables into existing folders. You can name the folders according to the type of data they contain, such as sales, customer, product, etc. Folders can help you find and access the fields or tables you need more easily and efficiently. References:

Organize and Customize Fields in the Data Pane - Tableau

Tableau Certified Data Analyst Study Guide

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

The formula in option B calculates the percent difference in sales relative to the same quarter the previous year. It subtracts the sales of the same quarter from the previous year from the current year’s sales, and then divides this by the previous year’s sales. This gives a percentage change, which aligns with what is shown in the Calculation field of your dataset. The LOOKUP function returns the value of a specified offset from the current row in the partition. In this case, the offset is -4, which means the value of the same measure four rows above the current row. This corresponds to the same quarter of the previous year, assuming the data is sorted by quarter. References:

LOOKUP Function - Tableau

Table Calculations - Tableau

Tableau Certified Data Analyst Study Guide

To configure the dashboard to ensure that selecting a data point on the map only filters the Detail table, you should select Ignore Actions from the context menu of Sales over time. Ignore Actions is a feature that allows you to exclude a sheet from being affected by any actions on the dashboard, such as filters or highlights. You can select Ignore Actions by right-clicking on a sheet on the dashboard and selecting Ignore Actions from the menu.

In this case, you want to exclude Sales over time from being filtered by the map, so you should select Ignore Actions from its context menu. This will make Sales over time ignore any selections on the map and show all values. The Detail table will still be filtered by the map as usual.

The other options are not correct for this scenario. Removing Dashboard Item will delete Sales over time from the dashboard, which is not what you want. Deselecting Use as Filter will disable the map as a filter for any sheet on the dashboard, which is not what you want. Selecting Deselect will clear any selections on the map, but it will not prevent Sales over time from being filtered by future selections. References: https://help.tableau.com/current/pro/desktop/en-us/actions.htm https://help.tableau.com/current/pro/desktop/en-us/actions_ignore.htm

On a Tableau dashboard, when a map is used as a filter, it affects all other sheets in the dashboard by default. To restrict the filter action to only affect the Detail table and not the ' Sales over time ' chart, you would modify the action settings. By selecting " Ignore Actions " from the context menu of the ' Sales over time ' chart, it will no longer respond to the filtering action initiated by selecting data points on the map.

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

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.

To use the City dimension to create a dynamic filter that shows the cities that have a population greater than one million, you should use a condition filter. A condition filter is a type of filter that shows only the values that meet a specified condition based on a measure or a calculation. You can create a condition filter by dragging a dimension to the Filters shelf and selecting Condition from the dialog box. Then you can enter a formula or choose an option that defines your condition.

In this case, you want to create a condition filter based on Population, which is a measure. You can drag City to the Filters shelf and select Condition from the dialog box. Then you can choose By field from the tab and select Population > Sum > Greater than > 1000000 from the drop-down lists. This will create a condition filter that shows only the cities that have a sum of population greater than one million.

The other options are not correct for this scenario. A general filter is not a specific type of filter, but a term that refers to any type of filter in Tableau. A wildcard filter is a type of filter that shows only the values that match a specified pattern or string, such as “New*” or “*ton”. A top filter is a type of filter that shows only the top or bottom N values of a measure or dimension based on a ranking or an aggregation. References: https://help.tableau.com/current/pro/desktop/en-us/filtering.htm https://help.tableau.com/current/pro/desktop/en-us/filtering_condition.htm https://help.tableau.com/current/pro/desktop/en-us/filtering_wildcard.htm https://help.tableau.com/current/pro/desktop/en-us/filtering_topn.htm

The hierarchy contains Market, Market Size, and State, but the stakeholder wants the total at whichever higher hierarchy level remains in the view. An EXCLUDE LOD expression is designed for exactly this type of dynamic view-dependent aggregation because it removes a specified dimension from the current visualization level of detail while retaining the other dimensions that are present. Using {EXCLUDE [State] : SUM([Sales] )} removes State from the calculation. If Market and Market Size are visible, the result is calculated at that combination; if the hierarchy is collapsed so only Market remains, the calculation adapts to Market. A FIXED expression would establish a fixed granularity independent of the view and would not adapt in the same way. Therefore, option A provides the required hierarchy-sensitive total.

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.

RANK is a table calculation, and Tableau evaluates ordinary dimension filters before table calculations. Filtering out Phones , which is the highest-sales Technology sub-category, removes that mark before Tableau recalculates Rank for the remaining Technology members. Machines therefore moves from Rank 2 to Rank 1, Accessories from Rank 3 to Rank 2, and Copiers from Rank 4 to Rank 3. The Furniture members—Chairs, Tables, Bookcases, and Furnishings—remain in their existing partition and therefore retain their current ranks. Phones itself disappears rather than receiving a new displayed rank. Tableau documents RANK as ranking values within a partition and confirms through its order of operations that dimension filtering takes place before table calculations are evaluated. Therefore, Machines, Copiers, and Accessories are the three affected sub-categories.

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.

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.

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.

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.

Bins divide a continuous numeric measure into a series of equal-sized ranges, making them the correct Tableau feature for analysing a salary distribution. For example, salary values could be divided into intervals of £10,000, with each employee assigned to the corresponding salary bin. The resulting binned dimension can then be used to create a histogram showing the frequency of salaries in each interval. Tableau documentation describes each bin as an equal-sized container representing a defined numeric range. A Group combines selected dimension members manually or logically, but it does not inherently create equal numeric intervals. A hierarchy establishes drill-down relationships between dimensions, while a Set defines a subset of dimension members according to selection or rules. Therefore, Bins directly satisfy the requirement to divide a continuous salary range into equal intervals.

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

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.

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

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

Replace Data Source

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

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

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

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

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

For a published data source used by multiple viewers and explorers, row-level security should be enforced centrally at the data-source level. Tableau supports user-based security calculations that identify the signed-in user and return only the rows that user is entitled to see. Placing the security logic in a data source filter before publishing ensures that every workbook connected to that published source receives the restricted data. Tableau also prevents downstream authors from seeing or modifying those data source filters, which strengthens consistency across consuming workbooks. A normal dimension filter in an individual worksheet is easier to change and is not a centralized RLS control. Data source permissions control access to the published asset itself, not which rows an authorized user can see. Therefore, option C best implements the stated row-level security requirement.

Publishing a new data source from Tableau Desktop requires publishing rights that are available with a Creator site role, together with the necessary project capabilities. Tableau documents Creator as the site role that provides full connection and publishing access from Tableau Desktop, including the ability to create and publish data sources, workbooks, and flows. Server administrator rights are not required for ordinary publishing. A Tableau Public account applies to Tableau Public rather than publishing governed content to Tableau Server or Tableau Cloud. View permission alone is also insufficient because viewing an existing project or workbook does not grant the Save and publish capabilities needed to create a new published data source. Therefore, among the listed choices, a Creator site role is the required condition.

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.

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.

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

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