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Tableau TDS-C01 Exam
Tableau Desktop Specialist (Page 8 )

Updated On: 30-Jan-2026
Page 8 of 65
PDF with 317 Questions

Tableau will automatically create a hierarchy for which two kinds of data? Choose two.

  1. Date & Time
  2. Date
  3. Geographic
  4. String

Answer(s): A,D

Explanation:

Tableau will automatically create a hierarchy for date and geographic data. A hierarchy is a way of organizing data into different levels of detail. For example, a date hierarchy can have year, quarter, month, and day levels. A geographic hierarchy can have country, state, city, and zip code levels. Tableau recognizes date and geographic data based on their data types and formats, and creates hierarchies for them by default. Tableau does not automatically create hierarchies for date & time or string data3



You have a scatter plot visualization.
What should you do to configure the visualization as a density map?

  1. Change the mark shape of the view.
  2. Change the mark type of the view.
  3. Create a custom color palette.
  4. Select heat maps from Show Me.

Answer(s): B

Explanation:

You should change the mark type of the view to configure the visualization as a density map. A density map is a type of mark that shows how data points are distributed in a two-dimensional space. To change the mark type, you can use the Marks card or Show Me. Changing the mark shape, creating a custom color palette, or selecting heat maps from Show Me will not create a density map2



Which two options can you use to change the device layout of a dashboard? Choose two.

  1. The Dashboard pane
  2. The Format menu
  3. The Dashboard menu
  4. The Layout pane

Answer(s): A,D

Explanation:

You can change the device layout of a dashboard by using the Dashboard pane or the Dashboard menu. The Dashboard pane allows you to select a device type and customize the layout for that device. The Dashboard menu allows you to create a new device layout or copy an existing one. The Format menu and the Layout pane do not have options for changing the device layout1



True or False: When relating tables, the fields that define the relationships must have the same data type.

  1. True
  2. False

Answer(s): A

Explanation:

According to the official documentation, the following are the requirements for using relationships:

1) When relating tables, the fields that define the relationships must have the same data type. Changing the data type in the Data Source page does not change this requirement. Tableau will still use the data type in the underlying database for queries.
2) You can't define relationships based on geographic fields.
3) Circular relationships aren't supported in the data model.
4) You can't edit relationships in a published data source.
5) You can't define relationships between published data sources.
6) Your workbook must use an embedded data source for you to be able to edit relationships and performance options in the Data Source page in Tableau Online or Tableau Server.


Reference:

https://help.tableau.com/current/online/en- us/datasource_relationships_learnmorepage.htm



Which of the following are FALSE about Joins?

  1. Joins can be defined at the time of query dynamically
  2. May drop unmatched measure values
  3. They are displayed with Venn diagram icons between physical tables
  4. Joined tables are never merged into a single table.
  5. They are a more dynamic way than relationships to combine data

Answer(s): A,D,E

Explanation:

According to the official documentation:

Joins are a more static way to combine data. Joins must be defined between physical tables up front, before analysis, and can't be changed without impacting all sheets using that data source. Joined tables are always merged into a single table. As a result, sometimes joined data is missing unmatched values, or duplicates aggregated values.

Joins -
1) Are displayed with Venn diagram icons between physical tables
2) Require you to select join types and join clauses

3) Joined physical tables are merged into a single logical table with a fixed combination of data
4) May drop unmatched measure values
5) May duplicate aggregate values when fields are at different levels of detail
6) Support scenarios that require a single table of data, such as extract filters and aggregation


Reference:

https://help.tableau.com/current/online/en- us/datasource_relationships_learnmorepage.htm



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