Updated Feb 17, 2026 TDA-C01 Exam Dumps - PDF Questions and Testing Engine
New (2026) Tableau TDA-C01 Exam Dumps
Tableau TDA-C01 certification exam is an essential credential for professionals seeking to advance their careers in data analysis, business intelligence, and data visualization. It validates their proficiency in using Tableau Desktop to connect, visualize, and share data insights. Tableau Certified Data Analyst certification also provides a practical framework for professionals to develop their skills and stay up-to-date with the latest trends and practices in data analytics and visualization.
NEW QUESTION # 55
You are the owner of an alert.
You receive an email notification that the alert was suspended
From where can you resume the suspended alert?
- A. The Notification area of Tableau Prep
- B. The Data Source page of Tableau Desktop
- C. The Shared with Ma page
- D. The My Content area of Tableau web pages
Answer: D
Explanation:
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.
NEW QUESTION # 56
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 # 57
Open the link to Book1 found on the desktop. Open Disciplines worksheet.
Filter the table to show the Top 10 NOC based on the number of medals won.
Answer:
Explanation:
check the steps below in explanation
Explanation:
To filter the table to show the Top 10 NOC based on the number of medals won, you need to do the following steps:
Open the link to Book1 found on the desktop. This will open the Tableau workbook that contains the Disciplines worksheet.
Click on the Disciplines tab at the bottom of the workbook to open the worksheet. You will see a table that shows the NOC, discipline, and medals for each country.
Drag Medals from the Measures pane to the Filters shelf. This will open a dialog box that allows you to filter by different criteria.
Select Top from the dialog box. This will show you options to filter by the top or bottom values of a field.
Enter 10 in the text box next to By field. This will filter by the top 10 values of Medals.
Select NOC from the drop-down list next to By field. This will filter by the top 10 values of NOC based on Medals.
Click OK to apply the filter. You will see that the table now shows only 10 rows, one for each NOC with the highest number of medals.
NEW QUESTION # 58
You have the following chart that sorts states by the number of products each state has purchased.
Which formula should you use to include a number with the position of each state within each region?
- A. FIRST ()
- B. INDEX ()
- C. LOOKUP (SUM ([Quantity]))
- D. WINDOW_SUM(SUM ([Quantity]))
Answer: B
Explanation:
The LOOKUP function is used to return the value of a specified field in a different row, which can be defined relative to the current row. In this context, it can be used to include a number with the position of each state within each region by looking up the SUM([Quantity]) in each respective position. References: The information is inferred from general Tableau knowledge as well as the following sources:
* Tableau Functions (Alphabetical)
* LOOKUP
* Tableau Certified Data Analyst Exam Guide
NEW QUESTION # 59
You have the following dataset:
Which grouping option should you use in Tableau Prep to group all five names automatically?
- A. Manual Selection
- B. Common Characters
- C. Pronunciation
- D. Spelling
Answer: B
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 # 60
You have the following dataset in Microsoft Excel.
You are using interpreter to cleans the dataset. Data interpreter provides the following results.
How many rows of data will be ingested into Tableau as values?
- A. 0
- B. 1
- C. 2
- D. 3
Answer: D
Explanation:
Data interpreter is a feature that helps you clean and structure your data in Excel before importing it into Tableau. It detects and removes any headers, footers, subtotals, or other elements that are not part of the actual data. It also splits any merged cells and fills in any missing values. In this case, data interpreter provides the following results:
It removes the first three rows and the last two rows that contain headers and footers.
It splits the merged cells in column A and fills in the missing values with "Fiction" or "Non-Fiction".
It does not remove or change any other rows or cells.
Therefore, the number of rows of data that will be ingested into Tableau as values is 17, which is the number of rows left after removing the headers and footers. Reference: https://help.tableau.com/current/pro/desktop/en-us/importing_cleaning_up_data.htm https://help.tableau.com/current/pro/desktop/en-us/importing_data_interpreter.htm
NEW QUESTION # 61
You have a data set that contains three columns named Sales, Profit, and Quantity.
You need to build the following scatter plot.
Answer:
Explanation:
Explanation:
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
NEW QUESTION # 62
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. left join
- B. Full outer join
- C. Inner join
- D. Right join
Answer: B
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 # 63
You have the following line chart that shows the average sales by month.
Which month had the biggest increase in swage sales compared to me previous month in 2019?
- A. November
- B. December
- C. August
- D. October
Answer: A
NEW QUESTION # 64
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. left join
- B. Full outer join
- C. Inner join
- D. Right join
Answer: B
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. Reference: https://help.tableau.com/current/pro/desktop/en-us/joining_tables.htm https://help.tableau.com/current/pro/desktop/en-us/join_types.htm
NEW QUESTION # 65
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 Desktop, open the Publish Workbook dialog box and configure the schedule.
- B. From Tableau Server. select Schedules find the schedule of the extract, and change the frequency to the Last day of the month
- C. From Tableau Server select the workbook select Refresh Extracts and then add a new extract refresh
- D. From Tableau Server. select Schedules and change the priority of the existing schedule
Answer: B
NEW QUESTION # 66
Open the link to Book1 found on the desktop. Open the sales dashboard.
Add the Sales by State sheet in a Show/Hide button to the right side of the dashboard.
Answer:
Explanation:
check the steps below in explanation
Explanation:
To add the Sales by State sheet in a Show/Hide button to the right side of the dashboard, you need to do the following steps:
Open the link to Book1 found on the desktop. This will open the Tableau workbook that contains the sales dashboard.
Click on the sales dashboard tab at the bottom of the workbook to open the dashboard. You will see a dashboard that shows various charts and filters related to sales data.
Drag Sales by State from the Sheets pane to the right side of the dashboard. This will add the sheet as a floating element on the dashboard. You can resize and position it as you like.
Right-click on Sales by State and select Add Show/Hide Button from the menu. This will add a button that allows you to show or hide the sheet on the dashboard. You can customize the appearance and behavior of the button by clicking on it and using the options on the Marks card.
Optionally, you can drag a vertical layout container from the Objects pane to the right side of the dashboard and place Sales by State and its button inside it. This will help you organize your dashboard elements and align them neatly.
NEW QUESTION # 67
A Data Analyst needs to analyze the financial performance of the sales team. In order to make the dashboards easier to understand, the analyst needs to format the financial values to show the dollar symbol ($) in front of the value.
How should the analyst enable this formatting across the workbook?
- A. Right-click on the measure in the data pane, then click on Create and Calculated Field to convert to a string and add the $ symbol.
- B. Right-click on the measure in the data pane, then click on Default Properties and Number Format.
- C. Click on the Format tab and select Workbook Theme.
- D. Click on the Analysis tab and select Forecast.
Answer: B
NEW QUESTION # 68
You have the following visualization.
The Last() calculation is set to compute using Table (across)
Which value will appear in the crosstab for the Consumer segment of the year 2018 if you change compute to use Oder Dale?
- A. 0
- B. 1
- C. 2
- D. 3
Answer: A
Explanation:
The value that will appear in the crosstab for the Consumer segment of the year 2018 if you change compute to use Order Date is 0. The Last() calculation is a table calculation that returns the number of rows from the current row to the last row in the partition. The partition is determined by how you compute the calculation. In this case, you change compute to use Order Date, which means that the calculation will be performed for each value of Order Date.
The crosstab shows that there are two values of Order Date for the Consumer segment of the year 2018: Q1 and Q4. The Last() calculation will return 0 for Q4, because it is the last row in the partition. It will return 1 for Q1, because it is one row away from the last row in the partition.
The other options are not correct for this scenario. The Last() calculation will not return 2, 3, or 4 for any value of Order Date, because there are only two values in each partition.
NEW QUESTION # 69
You have the following dataset.
You need to create the following worksheet.
The table must show either profit or sales based on the selection from the Parameter 1 menu.
Which three actions should you perform in orders
(Place the three correct options in order Use the arrows to move Options lo Answer Area Use Answer Area arrows to reorder the options)
Answer:
Explanation:
1 - Create a parameter that....
2 - Create a calculated field...
3 - Drag the calculated field to Detail...
NEW QUESTION # 70
You have the following two datasets:
* A Microsoft Excel worksheet that has two columns named Employee Name and Department
* A Microsoft SQL Server table that has three columns named Employee Name. Pay Grade and Team Size.
You want to use Tableau Prep to join the two datasets.
Which three actions should you perform in order? (Place the three correct options in order.)
Answer:
Explanation:
Explanation:
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
NEW QUESTION # 71
You have the following visualization.
Answer:
Explanation:
NEW QUESTION # 72
You have the following chart that shows the cumulative of sales from various dates.
You want the months to appear as shown in the following chart.
What should you do?
- A. Convert the date to Exact Date
- B. Select Show Misting Values for the dale
- C. Convert the date to Attribute
- D. Convert the date to Continuous
Answer: A
Explanation:
To make the months appear as shown in the second chart, you need to convert the date to Continuous. A continuous date is a green pill that shows a range of values on an axis. A discrete date is a blue pill that shows individual values as headers. In this case, you want to show a continuous range of months on the x-axis, instead of discrete headers.
To convert the date to Continuous, you need to do the following steps:
Right-click on the date field on the Columns shelf and select Convert to Continuous from the menu. This will change the date pill from blue to green and show a continuous range of dates on the x-axis.
Right-click on the date field again and select Month (January 2017) from the menu. This will change the level of detail of the date to month and year, instead of day.
Optionally, you can format the date axis by right-clicking on it and selecting Format from the menu. You can change the scale, tick marks, labels, and other options.
The other options are not correct for this scenario. Converting the date to Exact Date will show every single date as a header, which will be too crowded and unreadable. Selecting Show Missing Values for the date will fill in any gaps in the data with null values, but it will not change how the months appear. Converting the date to Attribute will return only one value for each partition of data, which will not show any variation over time. Reference: https://help.tableau.com/current/pro/desktop/en-us/dates.htm https://help.tableau.com/current/pro/desktop/en-us/dates_continuous.htm https://help.tableau.com/current/pro/desktop/en-us/formatting.htm
NEW QUESTION # 73
A Data Analyst has the following dataset:
The analyst wants to create a new calculated dimension field named Category that meets the following conditions:
When Subject is Computer Science or Science, the Category must be Sciences.
When Subject is English or Social Studies, the Category must be Humanities.
Which two logical functions achieve this goal? (Choose two.)
- A. IF ENDSWITH([Subject], 'Computer Science') THEN 'Sciences' ELSE 'Humanities' END
- B. CASE [Subject]
WHEN 'Computer Science' THEN 'Sciences'
WHEN 'English' THEN 'Humanities'
WHEN 'Social Studies' THEN 'Humanities'END - C. IF [Subject] = 'Science' THEN 'Sciences'
ELSEIF [Subject] = 'English' THEN 'Humanities'
ELSEIF [Subject] = 'Social Studies' THEN 'Humanities'
ELSEIF [Subject] = 'Computer Science' THEN 'Sciences'
END - D. IIF((CONTAINS([Subject], 'Science') = TRUE), 'Humanities', 'Sciences')
Answer: B,C
NEW QUESTION # 74
You have a table that contains the following data.
How should you complete the formula? (Drag the appropriate Options to the Answer Area and drop into the correct locations.)
Answer:
Explanation:
Explanation:
To complete the formula, you should drag the option MAX from the list of options and drop it into the first blank space, and then drag the option [Sales] and drop it into the second blank space. The formula will look like this: Option (MAX) Option ([Sales]). This formula will calculate the maximum value of the sales field for each country. You can use this formula to create a calculated field that will show the highest sales amount for each country in your data source. References:
Create a Simple Calculated Field - Tableau
MAX Function - Tableau
Tableau Certified Data Analyst Study Guide
NEW QUESTION # 75
Open the link to Book1 found on the desktop. Open the sales dashboard.
Add the Sales by State sheet in a Show/Hide button to the right side of the dashboard.
- A. Send us your feedback on it.
- B. Send us your
Answer: A
NEW QUESTION # 76
You have a sales dataset that contains the following fields.
You need to analyze the average revenue per product in different regions over time.
Which two fields should be measures? Choose two.
- A. Quantity
- B. Customer Region
- C. Order Date
- D. Revenue
- E. Product Name
Answer: A,D
Explanation:
To analyze the average revenue per product in different regions over time, you need to use two fields that contain numeric, quantitative values that you can measure and aggregate. Quantity and Revenue are both measures that fit this criterion. You can multiply Quantity and Revenue to get the total sales for each product, and then divide by the number of products to get the average revenue. You can also use these measures to create charts and tables that show the trends and comparisons over time and across regions. References:
Dimensions and Measures, Blue and Green - Tableau
Tableau Certified Data Analyst Study Guide
NEW QUESTION # 77
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