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

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 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: https://help.tableau.com/current/pro/desktop/en-us/functions_functions_logical.htm#IIF https://help.tableau.com/current/pro/desktop/en-us/operators.htm https://help.tableau.com/current/pro/desktop/en-us/functions_functions_aggregate.htm#MAX

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.

A Parameter action is designed to let users change a parameter value through direct interaction with a visualization. The parameter can then drive a calculated field that determines which measure—such as Sales, Profit, Quantity, or another metric—is displayed on the chart. Tableau ' s current action framework explicitly includes Change Parameter as an action type and notes that parameter actions can be used with calculations to customize how data is displayed. A Set action changes membership in a set, a Highlight action emphasizes selected marks without changing the metric being displayed, and a Filter action restricts the data shown in the target view. Because the requirement is to let the user dynamically select the measure displayed rather than filter or highlight records, the appropriate action type is Parameter .

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: https://help.tableau.com/current/pro/desktop/en-us/save_savework_packagedworkbooks.htm https://help.tableau.com/current/pro/desktop/en-us/extracting_data.htm https://help.tableau.com/current/pro/desktop/en-us/examples_csv.htm https://support.microsoft.com/en-us/office/introduction-to-access-database-files-9f9a0f8c-9a3c-4a0b-8e6c-6d1f1f7c2b7e

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 schedule a refresh of the data, you need to ensure that Tableau Server or Tableau Online can access the database without prompting for credentials. This can be done by embedding the credentials in the workbook or the published data source. You also need to extract the data from the database and publish it as a separate data source or as part of the workbook. A live connection would not allow you to refresh the data on a sched ule, as it would always query the database directly. A hyper file is a format for storing extracted data, but it is not a requirement for scheduling a refresh. References:

Tableau Certified Data Analyst Exam Prep Guide , page 10, section “Publishing and Scheduling Data Refreshes”

Tableau Help: Embedding Database Credentials

Tableau Help: Extract Your Data

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.

we need to create a quick table calculation that shows the percent of total sales for each category and sub-category. To do this, we can follow these steps:

Drag Category to Columns and Sub-Category to Rows.

Drag Sales to Text on the Marks card.

Right-click Sales on the Marks card and select Quick Table Calculation > Percent of Total.

Right-click Sales on the Marks card again and select Compute Using > Category.

This will create a quick table calculation that shows the percent of total sales for each sub-category within each category. The visualization will look like this:

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.

A suspended data-driven alert can be managed from the My Content area in Tableau’s web interface. Tableau’s current documentation states that when an alert has failed enough times to become suspended, an alert owner can locate the suspended alert in My Content and choose Resume Alert. Tableau now also supports resuming an alert directly from the notification email or from the Alerts panel of the affected view, but neither of those choices appears in this question. Shared with Me manages content shared by other users; Tableau Prep’s notification area does not administer Tableau Server or Cloud data alerts; and Tableau Desktop’s Data Source page is unrelated to server-side alert scheduling. Therefore, among the supplied answers, C remains valid.

To combine the tables and meet the requirements, you should use a left join. A left join will keep all the records from the left table (Employeelnfo) and match them with the records from the right table (DepartmentInfo) based on the common field (Department ID). If there is no matching record in the right table, the fields from the right table will be null. This way, you will retain all the records from Employeelnfo, and also include the Department Name, Size, and VP fields from DepartmentInfo. Every record will have a full name because it is a field from the left table. A left join will look like this:

To connect to a tab-delimited data file named sales.tsv, you should select the option To a File > Text file in Tableau Desktop. This option will allow you to browse and select the file from your local or network drive and connect to it as a data source. You can then specify the text file properties, such as the delimiter, the text qualifier, and whether the first row contains column names. You can also join, union, or blend the data with other data sources if needed. References:

Text File - Tableau

Tableau Certified Data Analyst Study Guide