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BEST Verified Tableau TDA-C01 Exam Questions (2026)
Tableau TDA-C01 exam is a computer-based test that consists of multiple-choice questions, hands-on exercises, and scenario-based questions. TDA-C01 exam is divided into two parts: the first part covers fundamental concepts of Tableau, such as data connection, data blending, and basic calculations. The second part covers more advanced concepts, such as table calculations, LOD expressions, and advanced data modeling. To pass the exam, candidates must demonstrate proficiency in both fundamental and advanced Tableau concepts.
Tableau TDA-C01 is a certification exam designed to test the skills and expertise of professionals in the field of data analytics. Tableau Certified Data Analyst certification program is offered by Tableau, an American software company that specializes in developing interactive data visualization products. The TDA-C01 exam is aimed at professionals who want to validate their skills in using Tableau for data analysis and reporting. Tableau Certified Data Analyst certification exam is ideal for individuals who are seeking to enhance their knowledge and skills in data analytics, as well as for organizations that want to validate the abilities of their employees in using Tableau software.
Tableau TDA-C01 certification exam is a computer-based test that consists of multiple-choice questions. TDA-C01 exam is divided into two sections: Desktop Specialist and Desktop Certified Associate. The Desktop Specialist section tests basic knowledge of Tableau Desktop, including data connectivity, creating visualizations, and sharing insights. The Desktop Certified Associate section delves deeper into advanced concepts such as data blending, calculations, and advanced analytics. TDA-C01 exam is designed to assess the candidate's ability to use Tableau to perform complex data analysis and present findings in a clear and concise manner.
NEW QUESTION # 27
You have the following visualization.
You Create a table calculation named Rank_Score that has a formula of RANK(AVG([Score]), and you drag Rank_Score to Text on the Marks cards.
What is the Rank Score value for Student ID 4220?
- A. 0
- B. 1
- C. 2
- D. 3
Answer: C
Explanation:
To determine the Rank Score value for Student ID 4220, we look at the visualization provided and apply the table calculation of RANK(AVG([Score])). This function will rank the average scores in ascending order by default, with the lowest score receiving the rank of 1.
Based on the provided visualization, the scores for the students are as follows (from lowest to highest average score):
* Student ID 4183: 39 (Rank 1)
* Student ID 4220: 71 (Rank 6)
* Student ID 4247: 71 (Rank 6, same score as ID 4220 so they share the same rank)
* Student ID 4124: 75.5
* Student ID 4050: 64
* Student ID 4205: 67
* Student ID 4056: 66
Since Student ID 4220 has an average score of 71, which is the third-highest score, it shares the rank with Student ID 4247. However, since Tableau ranks without gaps, the actual rank assigned is 6, considering that there are two students with a rank of 4 (due to the same average score being the second lowest), making the next rank number 6.
Note: The actual ranks for the highest scores are not provided, but they are not needed to determine the rank for Student ID 4220.
https://help.tableau.com/current/prep/en-us/prep_calculations.htm
NEW QUESTION # 28
You have a Tableau workbook.
You want to make the workbook available in Tableau Online.
What should you do?
- A. From the Server menu, select Tableau Public, and then select Save to Tableau Public.
- B. From the File menu, select Export Packaged Workbook.
- C. From the Server menu, select Publish Data Source.
- D. From the Server menu, select Publish Workbook.
Answer: D
NEW QUESTION # 29
A Data Analyst is using containers on a dashboard.
How should the analyst make sure multiple objects within a container are always taking up the same width or height, even if the container is resized?
- A. Use the Layout tab to set the size of each object
- B. Use the distribute evenly option
- C. Float the objects and manually adjust the size
- D. Adjust the size of each object individually
Answer: B
NEW QUESTION # 30
You publish a dashboard tut uses an attract. The extract refreshes every Monday at 10:00.
You need to ensure that the extract also refreshes on the last day of the month at 18:00.
What should you do?
- A. From Tableau Server. select Schedules find the schedule of the extract, and change the frequency to the Last day of the month
- B. From Tableau Server. select Schedules and change the priority of the existing schedule
- C. From Tableau Desktop, open the Publish Workbook dialog box and configure the schedule.
- D. From Tableau Server select the workbook select Refresh Extracts and then add a new extract refresh
Answer: D
Explanation:
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. Reference: https://help.tableau.com/current/server/en-us/refresh_extracts.htm https://help.tableau.com/current/server/en-us/refresh_extracts_add.htm
NEW QUESTION # 31
You have the Mowing two tables that contains data about the books in a library.
Both tables are incomplete so there are books missing from the tables.
You need to combine the tables. The solution must ensure that all the data is retained Which type of join should you use?
- A. Full outer join
- B. left join
- C. Inner join
- D. Right join
Answer: A
Explanation:
To combine the two tables that contain data about books in a library and ensure that all the data is retained, you should use a full outer join. A full outer join is a type of join that returns all rows from both tables, regardless of whether there is a match or not. If there is no match, null values are filled in for the missing fields.
To perform a full outer join, you need to do the following steps:
* Connect to both tables as your data sources in Tableau. You can use either live or extract connections.
* Drag one table to the canvas and drop it on top of another table. This will create a join between them based on a common field.
* Click on the join icon between the tables and select Full Outer Join from the drop-down list. This will change the join type to full outer join and show all rows from both tables.
* Optionally, you can add or remove join clauses by clicking on Add or Remove buttons next to each clause. You can also change or rename fields by clicking on them.
The other types of joins are not correct for this scenario. An inner join returns only the rows that have a match in both tables, which will exclude any books that are missing from either table. A left join returns all rows from the left table and only the matching rows from the right table, which will exclude any books that are only in the right table. A right join returns all rows from the right table and only the matching rows from the left table, which will exclude any books that are only in the left table. References: https://help.tableau.com
/current/pro/desktop/en-us/joining_tables.htm https://help.tableau.com/current/pro/desktop/en-us/join_types.
htm
When combining two datasets that are both incomplete and where it's important to retain all data from both sources, a full outer join is appropriate. This type of join ensures that all records from both tables are included in the combined dataset, even if there are no matching records in the other table.
NEW QUESTION # 32
You are developing a data source in Tableau Prep.
You have two tables named Orders and Employees.
The Orders table was created in 2019 and contains the following columns.
The Employees table contains all the employee information for the various sales teams in the sales department and contains the following columns You want to prepare the data so that you can analyze sales trends over time for every sales team.
Which three actions should you perform in order? (Place the three correct options in order. Use the arrows to move Options to Answer Area. Use Answer Area arrows to re-order the options.)
Answer:
Explanation:
There are different ways to prepare the data in Tableau Prep, but one possible answer is:
Answer area:
* Join the tables.
* Aggregate the data by Sales Team.
* Add the following filter to the Employees table: Sale Team - Team Alpha.
To analyze sales trends over time for every sales team, you need to combine the data from the Orders and Employees tables. You can do this by joining the tables on the Rep ID column, which is a common identifier for both tables. This will create a single table with all the columns from both tables. Next, you need to aggregate the data by Sales Team, which is the level of analysis you want. You can do this by grouping the data by the Sales Team column and applying an aggregation function (such as sum, average, count, etc.) to the other columns that you want to measure (such as Total Amount, Rep Tenure, etc.). This will create a summary table with one row for each sales team and the aggregated values for the other columns. Finally, you need to filter the data to focus on a specific sales team, such as Team Alpha. You can do this by adding a filter to the Employees table and selecting only the rows where Sales Team equals Team Alpha. This will remove the rows for other sales teams and keep only the data for Team Alpha.
References:
[Tableau Certified Data Analyst Exam Prep Guide], page 9, section "Preparing Data"
[Tableau Help: Join Your Data]
[Tableau Help: Aggregate Your Data]
[Tableau Help: Filter Your Data]
NEW QUESTION # 33
You create a parameter named Choose Region fiat contains values from a field named Region.
You want users to be able to use the Choose Region parameter to interact with a chart by logging between different regions What should you do next?
- A. Add the [Region] = [choose Region) formula to the Filters card
- B. Set the Choose Region parameter to Single Value (list)
- C. Add Region to me Fitters card
- D. Add the Choose Region parameter to the Pages card
Answer: C
Explanation:
To use the Choose Region parameter to interact with a chart by toggling between different regions, you should add the [Region] = [Choose Region] formula to the Filters card. This formula will create a boolean filter that returns TRUE if the value in the Region field matches the value in the Choose Region parameter, and FALSE otherwise. You can add this formula to the Filters card by right-clicking on it and selecting Add Filter from the menu. Then you can select Condition from the dialog box and enter the formula in the text box. This will filter the chart to show only the data for the selected region.
The other options are not correct for this scenario. Adding Region to the Filters card will create a categorical filter that shows a list of values from the Region field, but it will not use the Choose Region parameter. Adding the Choose Region parameter to the Pages card will create a page control that allows you to cycle through different values of the parameter, but it will not filter the chart. Setting the Choose Region parameter to Single Value (list) will change how the parameter control appears on the worksheet, but it will not affect how it interacts with the chart. Reference: https://help.tableau.com/current/pro/desktop/en-us/parameters.htm https://help.tableau.com/current/pro/desktop/en-us/filtering.htm https://help.tableau.com/current/pro/desktop/en-us/filtering_condition.htm
NEW QUESTION # 34
You have the following worksheet.
You want to create a table calculation that shows sales growth over each year.
How should you complete the formula? (Use the dropdowns in the Answer Area to select the correct options to complete the formula.)
Answer:
Explanation:
Explanation:
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.
References:
Tableau Certified Data Analyst Exam Prep Guide, page 11, section "Creating Calculated Fields" Tableau Help: SUM Function Tableau Help: LOOKUP Function Tableau Help: PREVIOUS_VALUE Function
NEW QUESTION # 35
You have a Tableau workbook that contain three worksheets named Sheet1 Sheet2 and Sheet3.
You create several filters.
From the Data Source page you plan to add data source fillers
When type of filter will appear in the Edit Data Source Filters dialog box?
- A. A top N condition filer on a dimension in Sheet 1 and Sheet2
- B. A table calculation filter used on Sheet
- C. A dimension filter on all the sheets
- D. A context filler on a dimension m Sheet3
Answer: C
Explanation:
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.
References: https://help.tableau.com/current/pro/desktop/en-us/filtering_datasource.htm https://help.tableau.
com/current/pro/desktop/en-us/filtering.htm https://help.tableau.com/current/pro/desktop/en-us
/filtering_tablecalculations.htm https://help.tableau.com/current/pro/desktop/en-us/filtering_topn.htm
https://help.tableau.com/current/pro/desktop/en-us/filtering_context.htm Data source filters in Tableau apply to the entire data source, affecting all sheets that use that data source. The Edit Data Source Filters dialog box allows you to add filters that operate at the data source level, which is different from context filters, top N filters, or table calculation filters that are applied at the worksheet level.
NEW QUESTION # 36
You have the following bar chart.
You want the chart to appear as shown in the Mowing exhibit.
What should you add?
- A. A reference line
- B. An average line
- C. A distribution band
- D. A reference band
Answer: D
Explanation:
A reference band is a shaded area that shows a range of values on an axis. You can use a reference band to highlight a target range, a confidence interval, or a standard deviation. In this case, you want to add a reference band that shows the range of values from 0 to 100 on the y-axis. This will create a shaded area behind the bars that indicates the percentage of sales.
To add a reference band, you need to do the following steps:
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 Reference Band from the Analytics pane to Y-Axis on the worksheet. This will add a reference band on the y-axis that shows the average and confidence interval for all values.
Click on the Edit button on the reference band to open the Edit Reference Band dialog box. You will see options to customize your reference band.
Change the Band From value to 0 and the Band To value to 100. This will change the reference band to show the range of values from 0 to 100 on the y-axis.
Click OK to apply the changes. You will see that the reference band now shows a shaded area behind the bars.
NEW QUESTION # 37
You have the Mowing dashboard.
Which two elements are floating? Choose two.
- A. The state filter
- B. The color legend
- C. The Rate of Obesity chart
- D. The map
- E. The little
Answer: A,C
Explanation:
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.
NEW QUESTION # 38
You create the following story that contains two story point.
You want to change the story point format to show the current story point number out of the total number of story points.
Which Layout option should you use?
- A. Arrows only
- B. Dots
- C. Numbers
- D. Caption boxes
Answer: C
Explanation:
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
NEW QUESTION # 39
You have the following box plot that shows the distribution of average profits made in every state by region.
Which region has the smallest distribution of profits?
- A. West
- B. Cast
- C. South
- D. Central
Answer: C
NEW QUESTION # 40
You have the following dataset.
You need to generate the results in the Day field.
How should you complete the formula? (Use the dropdowns in the Answer Area to select the correct options to complete the formula.)
Answer:
Explanation:
Explanation:
NEW QUESTION # 41
You have the Mowing two tables that contains data about the books in a library.
Both tables are incomplete so there are books missing from the tables.
You need to combine the tables. The solution must ensure that all the data is retained Which type of join should you use?
- A. Full outer join
- B. left join
- C. Inner join
- D. Right join
Answer: A
Explanation:
To combine the two tables that contain data about books in a library and ensure that all the data is retained, you should use a full outer join. A full outer join is a type of join that returns all rows from both tables, regardless of whether there is a match or not. If there is no match, null values are filled in for the missing fields.
To perform a full outer join, you need to do the following steps:
Connect to both tables as your data sources in Tableau. You can use either live or extract connections.
Drag one table to the canvas and drop it on top of another table. This will create a join between them based on a common field.
Click on the join icon between the tables and select Full Outer Join from the drop-down list. This will change the join type to full outer join and show all rows from both tables.
Optionally, you can add or remove join clauses by clicking on Add or Remove buttons next to each clause. You can also change or rename fields by clicking on them.
The other types of joins are not correct for this scenario. An inner join returns only the rows that have a match in both tables, which will exclude any books that are missing from either table. A left join returns all rows from the left table and only the matching rows from the right table, which will exclude any books that are only in the right table. A right join returns all rows from the right table and only the matching rows from the left table, which will exclude any books that are only in the left table. References:
https://help.tableau.com/current/pro/desktop/en-us/joining_tables.htm
https://help.tableau.com/current/pro/desktop/en-us/join_types.htm
When combining two datasets that are both incomplete and where it's important to retain all data from both sources, a full outer join is appropriate. This type of join ensures that all records from both tables are included in the combined dataset, even if there are no matching records in the other table.
NEW QUESTION # 42
You have a dashboard than contains two sheets named Sheet 1 and Sheet 2.
You want to add an object to the dashboard that users can click to switch to a different dashboard in the workbook.
Which object should you add to the dashboard?
Answer:
Explanation:
NEW QUESTION # 43
You have the following map.
You need the map to appear as shown in the following visualization.
What should you do?
- A. Drag Population to Size on the Marks card
- B. Change the mark type to Density
- C. Change the mark type to Map
- D. Change the opacity to 75%
- E. Drag Location to Size on the Marks card
Answer: B
NEW QUESTION # 44
You have a dataset that has four fields named Category. Profit Sates and Customer Name. You need to create the following visualization.
Answer:
Explanation:
Explanation:
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.
References: https://help.tableau.com/current/pro/desktop/en-us/buildmanual_shelves.htm https://help.tableau.com/current/pro/desktop/en-us/buildexamples_scatter.htm
NEW QUESTION # 45
You have the following tiled dashboard that has one sheet.
You want to replace fit sheet with Sheet2.
What should you do?
- A. Select Sheets and click the Swap Sheet button next to Sheet2.
- B. From the context menu of Sheet3. select Deselect
- C. From the context menu of Sheet3. select Remove Dashboard item
- D. Right-click Sheet2 and select Add to Dashboard.
- E. Drag Sheet2 to the dashboard.
Answer: E
Explanation:
To replace a sheet on a tiled dashboard, you can simply drag the new sheet from the Sheets pane to the dashboard and drop it over the existing sheet. This will replace the old sheet with the new one and keep the same size and position. Alternatively, you can right-click on the old sheet and select Replace Data Source, then choose the new sheet from the list. Reference: https://help.tableau.com/current/pro/desktop/en-us/dashboards_organize_floating_layoutcontainers.htm https://help.tableau.com/current/pro/desktop/en-us/dashboards_replace_datasource.htm
NEW QUESTION # 46
You have a line chart on a worksheet.
You want to add a comment to March 2020 as shown in the following visualization.
What should you do?
- A. Annotate March 2020
- B. Add a tooltip
- C. Drag the growth rate to Text on the Marks card
- D. Enable captions
Answer: A
Explanation:
To add a comment to March 2020 on a line chart, you need to annotate that mark. You can right-click on the mark and select Annotate > Mark from the menu. This will open a dialog box where you can type your comment and format it as you like. You can also drag and drop the annotation to position it on the worksheet. Dragging the growth rate to Text on the Marks card will add a label to every mark on the line chart, enabling captions will show a description of the worksheet at the bottom, and adding a tooltip will show a text box when users hover over a mark. Reference: https://help.tableau.com/current/pro/desktop/en-us/formatting_annotations.htm https://help.tableau.com/current/pro/desktop/en-us/formatting_annotations_create.htm
NEW QUESTION # 47
You have the following dataset:
Which grouping option should you use in Tableau Prep to group all five names automatically?
- A. Common Characters
- B. Spelling
- C. Manual Selection
- D. Pronunciation
Answer: A
Explanation:
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.
NEW QUESTION # 48
You company has two divisions located in the United States and Germany Bach division has a separate database. The following is a sample of the sales data for the division in the United States.
The following is a sample of the sales data for me division in Germany.
You have population data in a file named Populatio.csv. the following is a sample of the data.
You plan to create a visualization that ml show tie sales per capita for each salesperson Each salesperson must be identified by identified by their full name.
You need to prepare the data to support the planned visualization. The data source must support being published .
Which four actions should you perform in order?
(Place the four correct options n order Use the arrows to move Options to Answer Area arrows to re-order the options.
Use Answer Area arrows to re-order the options)
Answer:
Explanation:
1 - Open Tableau Prep
2 - Union the sales data of both divisions
3 - Create a new column to concatenate the name for the Germany division
4 - Join the sales data and the population data by using Country as the join field
NEW QUESTION # 49
You have the following table.
You need each record to alternate between grey and white.
What should you change in the Format Shading pane?
- A. the row banding size to 1
- B. the row banding size to 3
- C. the column banding size to 1
- D. the column banding size to 3
Answer: A
Explanation:
To have each record alternate between grey and white, you should change the row banding size to 1 in the Format Shading pane. This setting will ensure that each row has a different shading from the one above and below it, creating an alternating pattern of grey and white rows. References: The answer can be verified through practical application within Tableau or by consulting Tableau's official learning resources, such as Tableau Help: Format Shading or Tableau Training Pass: Formatting.
NEW QUESTION # 50
You have the following Map.
You need the map to appear as shown in the following visualization.
What should you do?
- A. Drag Population to Size on the Marks card.
- B. Change the mark type to Map.
- C. Change the mark type to Density.
- D. Drag Location to Size on the Marks card.
- E. Change the opacity to 75%.
Answer: C
Explanation:
To create a map visualization that shows the concentration of data points in different locations, you need to change the mark type to Density. This will create a heatmap that uses color and size to indicate the density of the data points. You can also adjust the intensity and transparency of the density marks to suit your needs. Reference: The information is based on the following sources:
Create Heatmaps that Show Trends or Density in Tableau
Build a Simple Map - Tableau
NEW QUESTION # 51
You need to change the values of a dimension without creating a new field.
What should you do?
- A. Rename the fields
- B. Create aliases
- C. Transforms the fields
- D. Create groups
Answer: B
Explanation:
You can create aliases for the members of a dimension by right-clicking the dimension in the Data pane or in the view and selecting Aliases. This changes how the values are displayed in the view, but not the underlying data. For example, you can create an alias for "Central" as "Midwest".
In Tableau, aliases can be used to change the way dimension members appear without altering the underlying data. This is useful for display purposes and does not create a new field within the dataset.
NEW QUESTION # 52
......
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