Free Certified Tableau Data Analyst Exam Braindumps
Certified Tableau Data Analyst Questions 41–45 (page: 10)

Updated On: 10-Feb-2026

You want to add a draft watermark to a dashboard as shown in the following exhibit.



Which type of object should you use?

  1. Image
  2. Sheet
  3. Web page
  4. Horizontal

Answer(s): A


Reference:

https://help.tableau.com/current/pro/desktop/en-us/dashboards.htm https://help.tableau.com/current/pro/desktop/en-us/dashboards_create_layouts.htm https://help.tableau.com/current/pro/desktop/en-us/dashboards_create_watermarks.htm To add a draft watermark to a Tableau dashboard, you would use an image object. You can overlay this image across your dashboard, possibly with some transparency, to achieve the watermark effect without interfering with the readability of the dashboard content.



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?

  1. 0
  2. 2
  3. 4
  4. 3

Answer(s): A

Explanation:

The LAST() function in Tableau returns the number of rows from the current row to the last row in the partition.
When you compute using 'Order Date', it will change the partitioning of the calculation. If 'Consumer' in '2018' is the last row in its partition when computed by 'Order Date', then LAST() will return 0 for that cell.

The LAST() function in Tableau is a table calculation that returns the number of rows from the current row to the last row in the partition. The value of LAST() is 0 for the last row, increases by 1 for each row above the last row, and can be negative for rows below the current row if there are such rows in the partition.
In the provided visualization, LAST() is set to compute using Table (across). Changing the compute mode to use "Order Date" will adjust the partitioning of the data upon which the LAST() function is calculated. Since "Order Date" is likely to be a unique value per row (assuming each order has a unique date), each row becomes its own partition.
For the Consumer segment of the year 2018, if "Order Date" is unique for each row, then the last row in each partition (in this case, each individual row) will have a LAST() value of 0 because there are no other rows in the partition - it's the last row of its own partition. Therefore, when you change the compute mode of LAST() to use "Order Date", each cell under the Consumer segment for the year 2018 will have the LAST() value of 0, because each order date creates a partition of one, making every row the last in its partition.



You have the following dataset.





When you use the dataset in a worksheet, you want Sales to appear automatically as shown in the following table.



What should you do?

  1. Change the data type of the Sates field to Siring
  2. Create a calculated field that uses a formula of 'S' * str (Round((sales],2)) + 'k'
  3. Change the default number format of the Sales told
  4. Create a calculated field that uses a formula of 'S' + stri < (Sales)/1000)).

Answer(s): C

Explanation:

To make Sales appear automatically as shown in the second table, you should change the default number format of the Sales field. The default number format is how Tableau displays a field when you drag it to a worksheet. You can change the default number format by right-clicking on the field and selecting Default Properties > Number Format from the menu. This will open a dialog box where you can choose a category, such as Currency or Percentage, and customize the options, such as decimal places or prefixes.
In this case, you want to change the default number format of Sales to Currency with zero decimal places and a custom prefix of "S". This will make Sales appear as "S" followed by the rounded value in thousands.
The other options are not correct for this scenario. Changing the data type of Sales to String will not affect how it appears on a worksheet. Creating a calculated field that uses a formula will not change the default number format of Sales, but create a new field that you have to drag to a worksheet. Converting Sales 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/formatting.htm https://help.tableau.com/current/pro/desktop/en- us/formatting_change_default.htm

To achieve the formatting as shown in the example, where sales figures are displayed with a "K" to represent thousands and rounded to the nearest thousand (e.g., $20K, $44K, etc.), you would need to adjust the default number format of the Sales field in Tableau. By changing the default number format, every instance where the Sales field is used would automatically reflect this new formatting. This is more efficient than creating a calculated field as it preserves the numeric nature of the field, allowing for further numerical operations and aggregations.



You have the following dataset.



Which grouping option should you use m Tableau Prep to group al five names automatically?

  1. Pronunciation
  2. Spelling
  3. Common Characters
  4. Manual Selection

Answer(s): B

Explanation:

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.



You have the following dataset.



You plan to create a dashboard that will be filtered to show only data that is relevant to a specific Tableau user based on the Tableau_User_Name field You need to create a boolean calculated field to place on the data source finer Which formula should you use for the filter?

  1. NAMEUSERNAME()
  2. ISFULLNAMETableu_USER_NAME))=USERNAME()
  3. NAME Tableau-USER-NAME)
  4. USERNAME()=(Tableau_USER_NAME)

Answer(s): D

Explanation:

To create a boolean calculated field to place on the data source filter, you should use the formula USERNAME() = [Tableau_user]. This formula will return TRUE if the current Tableau user name matches the value in the Tableau_user field, and FALSE otherwise. You can use this formula as a data source filter by dragging it to the Filters shelf and selecting TRUE from the menu. This will filter the data to show only the rows that are relevant to the specific Tableau user. The other options are not correct for this scenario. NAME([Tableau_user]) is not a valid function in Tableau. ISFULLNAME([Tableau_user]) = USERNAME() is not a valid expression in Tableau. `S' + STR([Sales]/1000) is not a boolean expression, but a string expression that converts sales to thousands with a prefix of "S".


Reference:

https://help.tableau.com/current/pro/desktop/en- us/filtering_datasource.htm https://help.tableau.com/current/pro/desktop/en- us/functions_functions_logical.htm#USERNAME https://help.tableau.com/current/pro/desktop/en- us/calculations_calculatedfields.htm

In Tableau, the USERNAME() function returns the username of the user who is currently logged in. To create a filter that only shows data relevant to the logged-in Tableau user, a boolean calculated field can be created to compare the current username with the usernames listed in the Tableau_User_Name field of the dataset. Therefore, the correct formula for this filter is USERNAME() = [Tableau_USER_NAME], which will return true for rows where the Tableau_User_Name matches the current user's username.



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