Oct-2025 Free Desktop-Specialist Test Questions Real Practice Test Questions
Desktop-Specialist Dumps Updated Oct 08, 2025 WIith 315 Questions
The benefits of passing the Tableau Desktop-Specialist Exam are numerous. Certification demonstrates to potential employers or clients that you have a comprehensive understanding of Tableau Desktop and can use it to solve complex business problems. Certified individuals are also listed on the Tableau website, giving them visibility and recognition within the Tableau community. Additionally, certified individuals have access to exclusive resources, such as the Tableau Desktop Specialist LinkedIn community, where they can network with other certified professionals and stay up to date on the latest Tableau news and trends.
Tableau Desktop-Specialist is a certification exam that tests your proficiency in using Tableau Desktop. It is a powerful data visualization tool that helps in transforming complex data into interactive and insightful visualizations. Tableau Desktop Specialist Exam certification exam is designed to validate your skills and knowledge in using Tableau Desktop to analyze data, create dashboards, and share insights.
NEW QUESTION # 92
As a general best practice, how many categories can a pie chart display effectively?
- A. 3 to 7
- B. 3 to 5
- C. 2 to 5
- D. 2 to 8
Answer: C
Explanation:
As a general best practice, your pie chart should contain 2 to 5 categories. Anything more than that is not easy for the eyes to distinguish. This is a common question and mentioned in Tableau's own eLearning module as well!
See how to build a pie chart:
NEW QUESTION # 93
Suppose you have a bar chart. When we group by labels in a view, which of the following happens?
- A. The colours of the members selected are now the same, and different for the rest of the members.
- B. A new mark (bar) is created, which consolidates all members of the group.
- C. Trick question! It is not possible to group by labels.
- D. Nothing changes in the view, but a group is created in the Dimensions shelf.
Answer: B
Explanation:
*Very important question*
If we select the labels in the view and then group, a new consolidated mark is created - in our case bar since we are talking about a bar chart in the question. See below:
Then on grouping, a new bar is created, and the colour of all bars remain the same.
Had we grouped by choosing the marks instead of the labels, the following would be the result:
NEW QUESTION # 94
Create a Set containing Customer Names whose Sales are GREATER than 30,000. Which customer had the LEAST sales in this set?
- A. Tom Ashbrook
- B. Tamara Chand
- C. Sanjit Engle
- D. Penelope Sewall
Answer: D
Explanation:
Explanation
As the question mentions, we need to create a SET with the following conditions -> Choose only those customers whose Sales > 30,000
1) Right click on customer name --> Create --> Set
2) Let's Name the Set - Customer>30k ( you can name it anything you want :) ) Select USE ALL, and then move to the CONDITION TAB:
3) In the Condition Tab, Choose BY FIELD -> Select Sales -> Sum -> Greater than 30000 , and click OK
4) You should now have a new Set in the Data Pane as follows:
5) Drag this set to the rows shelf, and click on SHOW MEMBERS IN SET. Now drag Sales to the Column Shelf.
6) Click on the Show Mark Labels, and Sort ascending icons as shown:
7) Voila! We have our answer:
c
NEW QUESTION # 95
You have a visualization that uses multiple types of sorting.
How can you clear all sorting of the visualization?
- A. From the Header label, select the sort icon.
- B. From the Worksheet menu, select Clear, and then select Sorts.
- C. From the Dashboard menu, select Clear.
- D. Right-click a sorted field, and then select Clear Sort.
Answer: B
Explanation:
To clear all sorting in a Tableau visualization, you would go to the Worksheet menu, select the "Clear" option, and then choose "Sorts." This action removes all sorting that has been applied to the visualization, including any custom sorting or sorting based on multiple fields. This is a quick way to reset the view to its default sorting state and is particularly useful when you have applied various sorting layers and wish to start fresh.
NEW QUESTION # 96
The icon associated with the field that has been grouped is a ______________
- A. Globe
- B. Intersection
- C. =#
- D. Paper Clip
Answer: D
Explanation:
Explanation
You can create a group to combine related members in a field. The icon associated with a group is a paper clip!
NEW QUESTION # 97
To connect Tableau to a CSV data source what type of connection should you use?
- A. Excel
- B. Spatial
- C. JSON
- D. Text
Answer: D
Explanation:
Tableau recognises a CSV file as a TEXT file, and therefore it is the correct option.
The following are the steps to import a CSV file:
1) From the data connection screen, click on Text:
2) Choose the appropriate file, and click Open:
3) Finally, Tableau imports the data as shown below:
NEW QUESTION # 98
For creating variable sized bins we use __________________
- A. Table Calculations
- B. Groups
- C. Sets
- D. Calculated Fields
Answer: D
Explanation:
One way to view a measure in Tableau Desktop is to split it into bins. You can think of bins as buckets based on a range of values. For example, say you have a measure that represents age. Instead of aggregating the measure to calculate the average age, you can bin the measure to define age groups: 0-5, 6-10, 11-15, and so on. Then you can count the number of people in each age group.
Create a calculated field for variable bin size
Step 1
Select Analysis > Create Calculated Field.
Step 2
In the Calculated Field dialog box, complete the following steps:
NEW QUESTION # 99
Which of the following are valid ways to italicize Tooltip content in Tableau?
- A. Click on Worksheet in the Menu bar, select Tooltip, and then use
the italics option - B. Click on Dashboard in the Menu bar, select Tooltip, and then use the italics option
- C. Click on Format in the Menu bar, choose Font, and then edit the
Tooltip options to italicize the font - D. Click on Tooltip in the Marks card, select the text, and then use the Italics option
Answer: A,C,D
Explanation:
The only incorrect option is - Click on Dashboard in the Menu bar, select Tooltip, and then use the italics option.
This option doesn't exist. See below:
The rest of the options do exist, and therefore are correct:
Graphical user interface, text, application Description automatically generated
NEW QUESTION # 100
True or False: All rows from both tables are returned in an INNER JOIN
- A. False
- B. True
Answer: A
Explanation:
Explanation
The INNER JOIN keyword selects all rows from both tables as long as there is a match between the columns.
Consider 2 tables "Orders" and "Customers".
If there are records in the "Orders" table that do not have matches in "Customers", these orders will not be shown!
NEW QUESTION # 101
Which of the following returns the Absolute Value of a given number?
- A. ZN(Number)
- B. FLOOR(Number)
- C. ABS(Number)
- D. CEILING(Number)
Answer: C
Explanation:
From the official Tableau website:
NEW QUESTION # 102
Which action describes the process for changing a measure so that it automatically aggregates an average instead of a sum?
- A. Right-click the field in the Data pane and select Default Properties to change it.
- B. Right-click and drag the field into the view to change it.
- C. Right-click the field in the Data pane and select Change Data Type to change it.
- D. Add the field to the view, right-click the axis, and select Format to change it.
Answer: A
Explanation:
To change a measure so that it automatically aggregates as an average instead of a sum, you should right-click the field in the Data pane and select Default Properties. In the Default Properties menu, you can set the default aggregation for the measure, such as setting it to calculate an average by default when added to a view.
NEW QUESTION # 103
Which one of the following is a dimension?
- A. Measure Names
- B. Number of records
- C. Latitude
- D. Longitude
Answer: A
Explanation:
Measure Names is a dimension. Latitude, Longitude, and Number of records are all measures.
NEW QUESTION # 104
When creating a histogram in Tableau, to what does bin size refer?
- A. The minimum number of axis ticks in the view.
- B. The count distinct (COUNTD) of items on either axis.
- C. The maximum number of marks in the view.
- D. The range of the continuous measure counted in each bin.
Answer: D
Explanation:
When creating a histogram in Tableau, bin size refers to the range of the continuous measure counted in each bin. A histogram is a chart that displays the shape of a distribution of a continuous measure. A histogram looks like a bar chart but groups values for a continuous measure into ranges, or bins. The basic building blocks for a histogram are as follows: Mark type: Automatic; Rows shelf: Continuous measure (aggregated by Count or Count Distinct); Columns shelf: Bin (continuous or discrete)4 To create bins from a continuous measure, you need to specify the size of bins, which determines how many bins are created and how wide they are. The size of bins is equal to the difference between consecutive values along the axis that represents the bins. For example, if you have bins with values 0-10, 10-20, 20-30, etc., then the size of bins is 10. You can either enter a value for the size of bins manually or have Tableau suggest an optimal bin size based on a formula that considers the number of distinct rows and the minimum and maximum values in the data5 The other options are not valid definitions of bin size when creating a histogram in Tableau. The minimum number of axis ticks in the view is determined by Tableau's automatic scaling and formatting of axes, which can be adjusted manually if needed. The count distinct (COUNTD) of items on either axis is an aggregation function that returns the number of unique values in a field, which can be used as a measure in a histogram but not as bin size. The maximum number of marks in the view is limited by the performance and readability of the visualization, which can be improved by filtering, sorting, or aggregating the data4
NEW QUESTION # 105
Which chart type uses automatically generated sizes that cannot be resized by using the Marks card?
- A. Pie charts
- B. Area charts
- C. Treemaps
- D. Histograms
Answer: C
Explanation:
Treemaps use automatically generated sizes that cannot be resized by using the Marks card. A treemap is a type of visualization that shows hierarchical data as a set of nested rectangles. Each rectangle represents a dimension member and its size is proportional to a measure value. Tableau automatically calculates the size of each rectangle based on an optimal aspect ratio for readability and comparison. You cannot manually adjust the size of each rectangle by using the Marks card or any other option in Tableau10 The other chart types do not use automatically generated sizes that cannot be resized by using the Marks card. Pie charts use angles to show proportions of a whole, not sizes. Histograms use bins and frequencies to show distributions of a measure, not sizes. Area charts use filled areas to show trends over time or categories, not sizes. You can adjust the size of these chart types by using the Marks card or other options in Tableau
NEW QUESTION # 106
_____________ is a snapshot of the data that Tableau stores locally. Good for very large datasets of which we only need few fields.
- A. Tableau Workbook (.twb)
- B. Tableau Data Extract (.tde)
- C. Tableau Data Source (.tds)
- D. Tableau Packaged Workbook (.twbx)
Answer: B
Explanation:
Tableau Data Extract (TDE) is a snapshot of the data that Tableau stores locally. Good for very large datasets of which we only need few fields. Performance is optimised because it queries its own database engine instead of the local data source.
When you create an extract of your data, you can reduce the total amount of data by using filters and configuring other limits. After you create an extract, you can refresh it with data from the original data. When refreshing the data, you have the option to either do a full refresh, which replaces all of the contents in the extract, or you can do an incremental refresh, which only adds rows that are new since the previous refresh.
Extracts are advantageous for several reasons:
1) Supports large data sets: You can create extracts that contain billions of rows of data.
2) Fast to create: If you're working with large data sets, creating and working with extracts can be faster than working with the original data.
3) Help improve performance: When you interact with views that use extract data sources, you generally experience better performance than when interacting with views based on connections to the original data.
4) Support additional functionality: Extracts allow you to take advantage of Tableau functionality that's not available or supported by the original data, such as the ability to compute Count Distinct.
5) Provide offline access to your data: Extracts allow you to save and work with the data locally when the original data is not available. For example, when you are traveling.
NEW QUESTION # 107
Using the Time Series Table, create a Line chart showing the Monthly Year over Year Growth for the Sales, broken down by Assortment. For the Electronics assortment, which Month had the most NEGATIVE value of Year over Year Growth?
Using the Time Series Table, create a Line chart showing the Monthly Year over Year Growth for the Sales, broken down by Assortment. For the Electronics assortment, which Month had the most NEGATIVE value of Year over Year Growth?
- A. October
- B. July
- C. September
- D. June
Answer: A
Explanation:
Explanation
Follow along:
1) Drag Assortment and Year ID (choose Discrete Month) to Columns shelf, and Sales to the Columns Shelf.
For sales, click on the pill -> choose Quick Table calculation -> Year over Year growth.
The view should now look like:
It is clear that October with -55.3% had the lowest Year on Year growth.
NEW QUESTION # 108
Which of the following are valid Layout Container types when using Dashboards in Tableau?
- A. Horizontal Container
- B. Diagonal Container
- C. Vertical Container
- D. Split Container
Answer: A,C
Explanation:
Chart Description automatically generated
NEW QUESTION # 109
Which of the following is NOT a valid official data source in Tableau Desktop?
- A. PostgreSQL
- B. SAP HANA
- C. Google Firebase
- D. Amazon Redshift
Answer: D
Explanation:
Explanation
Presently, there is no official way to connect your data in Firebase directly with Tableau Desktop.
A workaround however can be to export your Firebase data into Google BigQuery, and then connect it to Tableau Desktop.
But then again, it is a workaround and not an official out-of-the-box solution.
The following are the available Data sources available as of now:
* Server
* File
NEW QUESTION # 110
_______________ enables us to create workbooks and views, dashboards, and data sources in Tableau Desktop, and then publish this content to our own server.
- A. Tableau Public
- B. Tableau Prep
- C. Tableau myServer
- D. Tableau Server
Answer: D
Explanation:
Tableau SERVER enables us to create workbooks and views, dashboards, and data sources in Tableau Desktop, and then publish this content to our own server.
Moreover, as a Tableau Server administrator you will control who has access to server content to help protect sensitive data. Administrators can set user permissions on projects, workbooks, views, and data sources.
NEW QUESTION # 111
Using the Geo Data table, create a Bar chart showing the In-Stock percentage for each Color. What is the Average In-Stock percentage for the Color Red? Present your answer correctly upto 2 decimal places.
- A. 95.12%
- B. 96.46%
- C. 97.12%
- D. 99.46%
Answer: C
Explanation:
Not too tough. Follow along the steps:
Drag Color to Filter and choose Red:
3) Now to display the percentage correctly, lets format it. Click on the In Stock % pill in the Row shelf, and select format:
And your final view will look like :
NEW QUESTION # 112
Using the cwurData table, create a cross-tab showing the number of Publications per Country broken down by Institution, and filtered by Country to only show United Kingdown (UK). For the University of Manchester, what percent of the total publications were contributed in 2014?
- A. 25.683%
- B. 23.497%
- C. 22.404%
- D. 28.415%
Answer: C
Explanation:
Explanation
Phew! Tricky one for sure. This question tests multiple concepts and will help you revise them. We'll be using filters, as well as quick table calculations (percent of total) for this one.
1) Firstly, let's drag Country and to the Rows shelf, and year (discrete) to the Columns shelf.
Then, drag Publications to the Text Icon in the Marks Shelf. The following is our view:
NEW QUESTION # 113
Which of the following are benefits of using Data Extracts in Tableau?
- A. Improved Performance
- B. Working with freshest data at all times
- C. Faster to work with
- D. Ability to use the data offline
Answer: A,C,D
Explanation:
Extracts are advantageous for several reasons:
1) Supports large data sets: You can create extracts that contain billions of rows of data.
2) Fast to create: If you're working with large data sets, creating and working with extracts can be faster than working with the original data.
3) Help improve performance: When you interact with views that use extract data sources, you generally experience better performance than when interacting with views based on connections to the original data.
4) Support additional functionality: Extracts allow you to take advantage of Tableau functionality that's not available or supported by the original data, such as the ability to compute Count Distinct.
5) Provide offline access to your data: Extracts allow you to save and work with the data locally when the original data is not available. For example, when you are traveling.
To work with the MOST up-do-date data, use a live connection instead!
NEW QUESTION # 114
You can create _______________ for members in a dimension so that their labels appear differently in the view.
- A. aliases
- B. duplicates
- C. parameters
- D. copies
Answer: A
Explanation:
Explanation
You can create aliases (alternate names) for members in a dimension so that their labels appear differently in the view.
Aliases can be created for the members of discrete dimensions only. They cannot be created for continuous dimensions, dates, or measures.
To create an alias:
1) In the Data pane, right-click a dimension and select Aliases.
2) In the Edit Aliases dialog box, under Value (Alias), select a member and enter a new name.
* To submit your changes: In Tableau Desktop, click OK.
On Tableau Server or Tableau Online, click the X icon in the top-right corner of the dialog box.
When you add the field to the view, the alias names appear as labels in the view. For example:
NEW QUESTION # 115
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