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Tableau TDS-C01 Exam
Tableau Desktop Specialist (Page 3 )

Updated On: 30-Jan-2026
Page 3 of 65
PDF with 317 Questions

Which of the following are valid use-cases for the 'Manage Metadata' functionality?

  1. To clean and automatically fix the data issues in our data source
  2. To see the field name in the original data source
  3. To view all hidden fields
  4. To see the table a field belongs to

Answer(s): B,C,D

Explanation:

Top of Form
To clean and automatically fix the data issues in our data source - This is the definition of Data Interpreter.

To rename the field in the original data source - We never modify the original data source when managing metadata. All changes are local to Tableau for our convenience only.

All other options can be modified using the Manage Metadata property.



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Which of the following are True for Measure Names?

  1. It contains all the measures in your data, collected into a single field with continuous values.
  2. When you add it to a view, all of the measure names appear as row or column headers in the view.
  3. When working with a text table showing Profit for each Category, when you add Sales to the text table (by dragging it and dropping it in the view), the measure names field is automatically dragged to the row and filter shelves.
  4. It contains the names of all measures in your data, collected into a single field with discrete values.

Answer(s): B,C,D

Explanation:

It contains all the measures in your data, collected into a single field with continuous values - This is the definition for 'Measure Values'.

All others are True w.r.t. Measure Names!

The Measure Names field contains the names of all measures in your data, collected into a single field with discrete values.



Documentation : https://help.tableau.com/current/pro/desktop/en- us/datafields_understanddatawindow_meavalues.htm



Which of the following sets would you use to compare the members?

  1. None of these
  2. Dynamic Sets
  3. Static Sets
  4. Combined Sets

Answer(s): D

Explanation:

You can combine two sets to compare the members.
When you combine sets you create a new set containing either the combination of all members, just the members that exist in both, or members that exist in one set but not the other.
Combining sets allows you to answer complex questions and compare cohorts of your data. For example, to determine the percentage of customers who purchased both last year and this year, you can combine two sets containing the customers from each year and return only the customers that exist in both sets.
To combine two sets, they must be based on the same dimensions. That is, you can combine a set containing the top customers with another set containing the customers that purchased last year. However, you cannot combine the top customers set with a top products set.




Reference:

https://help.tableau.com/current/pro/desktop/en-us/sortgroup_sets_create.htm



What does the following marker/icon do in Tableau?

  1. Format the Legends
  2. Edit the Colors
  3. Toggle the highlighting on/off.
  4. Highlight the largest value

Answer(s): C

Explanation:

Top of Form

The correct answer is Toggle the highlighting ON/OFF. If selected, whichever value you choose from this legend will be highlighted in the view. However, if it is deselected, then even if you choose a value in the Legend, it will NOT be highlighted.

See below:





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In which of the following scenarios would having a live connection be more beneficial than using an extract?

  1. Analyzing real time stock prices
  2. Analyzing real time data from production systems
  3. Analyzing historical housing prices
  4. Analyzing and tracking real time flight updates
  5. Analyzing a subset of a dataset having 1 billion rows

Answer(s): A,B,D

Explanation:

Extracts would be more beneficial for analyzing historical prices where we won't be making use of any real time data being streamed. Same is the case for enormous datasets having billions of rows (extracts will be more efficient in analyzing subsets of such large data).

As for live stock prices, flight updates, real time updates from production or mission critical systems - having a live connection is the most logical choice, since we need access to the most fresh and recent data possible at all times!



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