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

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

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

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.

Tableau Prep ' s Grouping feature includes various methods to group similar data. The Spelling option is used when the data has small variations in spelling, such as capitalization differences or common typos. Given that the names in the dataset vary in capitalization and punctuation but are spelled correctly, the Spelling grouping option would be the most appropriate choice to automatically group all five names.

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

Creating a Story - Tableau

New in 9.0: Formatting the Story Points Navigator - Tableau

Tableau Certified Data Analyst Study Guide

The correct order of the three actions is:

From the connections pane, connect to both data sources

Join both datasets and select the join type

Specify Employee Name as the join key

The first action is to connect to both data sources from the connections pane in Tableau Prep. The connections pane is where you can access and add data sources to your flow. You can connect to various types of data sources, such as Excel, SQL Server, or Tableau Server. In this case, you want to connect to an Excel worksheet and a SQL Server table.

The second action is to join both datasets and select the join type. A join is a way of combining data from two or more tables based on a common field. You can join datasets by dragging one table to the canvas and dropping it on top of another table. This will create a join step in your flow. You can select the join type from the drop-down list on the join step. The join type determines which rows are returned from the tables.

The third action is to specify Employee Name as the join key. A join key is a field that is used to match rows from different tables. You can specify the join key by clicking on the field name in each table and dragging it to the center of the join step. This will create a join clause that shows the field name and the operator. In this case, you want to use Employee Name as the join key, because it is a common field between the two datasets.

The other options are not relevant for this scenario. Specifying Department and Team Size as a join condition will not work, because they are not common fields between the two datasets. Opening both data sources in Tableau Desktop will not help you join them in Tableau Prep. Adding a step to aggregate the data in the SQL Server table will not affect the join, but it may change the level of detail of your data. References: https://help.tableau.com/current/prep/en-us/prep_connect.htm https://help.tableau. com/current/prep/en-us/prep_join.htm https://help.tableau.com/current/prep/en-us/prep_join_types.htm

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.

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

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

To 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.