Analytics-DA-201 Salesforce Certified Tableau Data Analyst Free Practice Exam Questions (2026 Updated)

An INCLUDE LOD expression is specifically useful when a calculation must incorporate a finer-grained dimension that is not already present in the visualization. INCLUDE adds the specified dimension to the level of detail established by the dimensions currently in the view, calculates the expression at that finer grain, and then allows Tableau to reaggregate the result at the view’s level. For example, { INCLUDE [Customer Name] : SUM([Sales] ) } can calculate sales per customer even when Customer Name itself is absent from the displayed view. If the dimension is already present in the view, INCLUDE generally adds no additional granularity for that field. The dimension does not specifically need to reside on the Marks card, Rows/Columns shelves, or Filters shelf. Therefore, Not in the View is the correct answer.

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

Publishing the Excel-based goals data as its own managed data source provides the most appropriate architecture for a file that must be updated regularly and reused alongside an existing published revenue source. The analyst can publish the Excel connection as an extract and configure the appropriate refresh mechanism, after which the dashboard workbook connects to both centrally governed published sources. Tableau documents that published extract data sources can be refreshed on a schedule and that every connected workbook then benefits from the refreshed data. Merely embedding an Excel extract in one workbook would couple refresh management to that workbook, while simply uploading a flat file through web authoring does not guarantee updates to the original changing file. Modifying the ERP system is unnecessary. Therefore, option D provides the intended reusable and maintainable Tableau design.

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.

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 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 required logic must first evaluate the activity history independently for each Call ID, which is why a FIXED LOD expression is appropriate. {FIXED [Call ID] : ...} establishes Call ID as the calculation grain regardless of the visualization’s dimensions. Within each call, [Activity Name] = " Assign Technician " produces a Boolean condition. Applying MAX to that condition determines whether an assignment activity exists for that call. If one exists, the calculation returns 0; otherwise it returns 1. The outer SUM then totals the calls that never received an assignment. INCLUDE does not provide the required fixed call-level evaluation, while the other expressions either count activity records rather than calls or do not form valid LOD logic for the requirement. Therefore, A is correct.

A data source filter is a filter that applies to all the worksheets that use the same data source. It filters the data before any other filters or calculations are applied. You can add a data source filter from the Data Source page by clicking on the Add button next to Filters.

The type of filter that will appear in the Edit Data Source Filters dialog box is a dimension filter on all the sheets. This means that you can choose a dimension from your data source and filter it by values, range, condition, or top/bottom. The filter will affect all the worksheets that use that dimension.

The other types of filters are not data source filters and will not appear in the Edit Data Source Filters dialog box. A table calculation filter is a filter that applies to a table calculation, such as percent of total or running total. A top N condition filter is a filter that shows only the top or bottom N values of a measure or dimension based on a condition. A context filter is a filter that creates a subset of data that other filters can use.

To create the Position column, you should use the FIRST () function. The FIRST () function returns the number of rows from the current row to the first row in the partition. For example, the first row in a partition will return 0, the second row will return -1, and so on. In this question, the partition is defined by the Segment field, and the table is sorted by the Sales field in descending order. Therefore, the Position column shows the offset of each row from the first row in each segment, based on the sales ranking. References:

Tableau Certified Data Analyst Exam Prep Guide , page 11, section “Creating Calculated Fields”

Tableau Help: FIRST Function

To create an image of the chart that you can add to the annual report, you can use either the Export option or the Copy option from the Worksheet menu. The Export option will allow you to save the image as a file in a specified location, name, and format. The Copy option will allow you to copy the image to the clipboard and paste it into another application, such as Microsoft Word. Both options will let you choose which elements to include in the image, such as title, caption, legend, etc. References:

Export Views from Tableau Desktop to Another Application

Copy and Paste Views from Tableau Desktop to Another Application

A dynamic Top 10 requirement should be implemented with a dynamic set, not with a manual selection or static group. The analyst can create a set on the Year dimension, configure its Top tab to retain the top 10 members according to the relevant medal-count measure, and then place the resulting IN/OUT set on Color on the Marks card. Tableau recalculates the set as the underlying data or ranking changes, so whichever ten years currently meet the Top 10 condition receive one color and the remaining values receive another. Manually selecting ten bars or manually creating a set from currently selected bars produces a fixed membership. A group is also static unless manually changed. Tableau’s Top N guidance demonstrates dragging a Top N set to Color to distinguish the dynamic subset.

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.

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 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 target visualization shows a subtotal after the members of each Category while retaining the individual Sub-Category rows. In Tableau, Analysis > Totals > Add All Subtotals inserts subtotal rows or columns when multiple dimensions are present on Rows or Columns. Here, Category and Sub-Category are both on Rows, so Tableau can calculate a subtotal for each Category group. Show Column Grand Totals and Show Row Grand Totals create totals for the entire view along the corresponding direction; they do not insert a separate total inside every Category section. Column Totals to Top only changes the placement of existing column totals. Because the requirement is to add a Total row for Furniture, Office Supplies, and Technology individually, Add All Subtotals is the correct command.

https://kb.tableau.com/articles/howto/filtering-data-with-a-parameter?lang=fr-fr

After creating a parameter named Choose Region, you want to use it to filter the chart based on the user ' s selection. To do this, you would create a calculated field with the formula [Region] = [Choose Region] and add this calculated field to the Filters card. This will dynamically filter the chart to display data only for the region that matches the user’s selection in the Choose Region parameter.