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Tableau TDS-C01 Exam
Tableau Desktop Specialist (Page 4 )

Updated On: 30-Jan-2026
Page 4 of 65
PDF with 317 Questions

Which of the following are benefits of combining sheets using dashboards?

  1. Easier to compare visualisations side by side
  2. It is mandatory to combine sheets when using Tableau
  3. Helps in faster analysis
  4. Provides the ability to use one sheet as a filter for other

Answer(s): A,C,D

Explanation:

The only incorrect option is - It is mandatory to combine sheets when using Tableau.

All others are valid advantages that Dashboards provide when using Tableau!



Suppose you create a bar chart by dragging a dimension to the Column shelf and a measure to the Rows shelf.
Which of the following would create a stacked bar chart?

  1. By dragging another dimension to the Rows shelf
  2. By dragging another measure to Color on the Marks card
  3. By dragging another dimension to Color on the Marks card
  4. By dragging another measure to the Columns shelf

Answer(s): C

Explanation:

Very important question for the exam and appears quite a lot too.

The correct answer is - By dragging another dimension to Color on the Marks card.



This is what the question says we have already created. Now to convert this into a Stacked bar chart, we will drop another dimension on Color in the Marks card.



The rest won't create stacked bar charts, and hence are incorrect choices. The best way to answer such questions on the real exam is to quickly do what the options say and see if they satisfy the requirements in the question.



Beginning in version 10.5, when you create a new extract, it uses the _________ format instead of the .tde format.

  1. .tds
  2. .tdex
  3. .hyper
  4. .twbx

Answer(s): C

Explanation:

Beginning in version 10.5, when you create a new extract, it uses the .hyper format instead of the .tde format.
Extracts in the .hyper format take advantage of the improved data engine, which supports the same fast analytical and query performance as the data engine before it, but for even larger extracts.

Although there are many benefits of using .hyper extracts, the primary benefits include the following:

1) Create larger extracts: You can create extracts with billions of rows of data. Because .hyper extracts can support more data, you can consolidate .tde extracts that you previously had to create separately into a single .hyper extract.
2) Create and refresh extracts faster: While Tableau has always optimized performance for creating and refreshing extracts, version 2020.3 supports faster extract creation and refreshes for even larger data sets.
3) Experience better performance when interacting with views that use extract data sources: Although smaller extracts continue to perform efficiently, larger extracts perform more efficiently.


Reference:

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



When field names in the Union do not match, then:

  1. An error is raised and both fields are dropped from the resulting Union
  2. Only one field name is present in the Union with null values
  3. Only one field name is present in the Union with correct values since Tableau automatically corrects field name mismatch
  4. Both field names are present in the Union, but contain several null values

Answer(s): D

Explanation:

By default, both field names are present in the Union, but contain several null values!

When field names in the union do not match, fields in the union contain null values. You can merge the non-matching fields into a single field using the merge option to remove the null values.
When you use the merge option, the original fields are replaced by a new field that displays the first non- null value for each row in the non-matching fields.
You can also create your own calculation or, if possible, modify the underlying data to combine the non-matching fields.

For example, suppose you have the following customer purchase information stored in three tables, separated by month. The table names are "May2016," "June2016," and "July2016."



A union of these tables creates the following single table that contains all rows from all tables.



Now suppose a fourth table, "August2016", is added to the underlying data. Instead of the standard "Customer" field name, it contains an abbreviated version called "Cust."




Reference:

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



Which of the following can help us focus on specific data without removing data in the visualization?

  1. Highlighters
  2. Sets
  3. Clusters
  4. Filters

Answer(s): A

Explanation:

From the official documentation:

When you have a view with a large amount of data you might want to explore your data interactively and highlight a specific mark or group of marks while still maintaining the context of where those marks show in your view.
To do this you can turn on the Highlighter for one or more discrete fields that are included in your view and that affect the level of detail

Example - Here we just want to focus on Public Affairs college dimension, but don't want to filter out or remove the rest of the data:



Note that filtering is not the correct option since that would REMOVE the data that doesn't match the filtering criteria.



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