Free Certified Tableau Data Analyst Exam Braindumps
Certified Tableau Data Analyst Questions 56–60 (page: 13)

Updated On: 10-Feb-2026

You have the following primary data source that contains a dimension named Dorm_Code.



You receive the following secondary data source that contains updated dorm codes.



You need to bring the updated dorm codes into Tableau and use the codes in existing visualizations. The new dorm codes must use the existing field name of Dorm_Code.
What should you do?

  1. Bring in the secondary data source as a union.
  2. Bring in the secondary table as a left join to the primary data source. From the Data Source page, select Create Calculated Field in the Dorm_Name field and enter [Dcrm_Name_New] in the calculation window
  3. Bring in the secondary data source by using relationships. From the Data pane, right-click Dorm_Name select Replace Reference, and then select Dorm_Name_New
  4. Create a data blend and select Edit Primary Aliases to replace the primary data source alias values with values from the secondary data source

Answer(s): C

Explanation:

Using relationships: You can use relationships to link the secondary data source with the primary data source based on a common field. This will allow you to use fields from both data sources in your visualization without creating new fields or duplicating data. You can then replace references to update the dimension values. For example, you can use relationships to link the updated dorm codes with the primary data source and then replace Dorm_Code with Dorm_Code_New in your visualization.
https://community.tableau.com/s/question/0D54T00000C5ldZSAR/update-data-view-based-on- dimension
To update existing visualizations with new codes without changing the field name, using relationships to bring in the secondary data source is appropriate. Then using Replace Reference allows you to update the references from the old dorm codes to the new ones while maintaining the existing field name.



You have the following dataset



You need to create the following visualization.



Which quick table calculation should you drag to Text on the Marks card?

  1. Percent of Total
  2. Percent Difference
  3. Compound Growth Rate
  4. Percentile

Answer(s): A

Explanation:

we need to create a quick table calculation that shows the percent of total sales for each category and sub-category. To do this, we can follow these steps:
Drag Category to Columns and Sub-Category to Rows.
Drag Sales to Text on the Marks card.
Right-click Sales on the Marks card and select Quick Table Calculation > Percent of Total. Right-click Sales on the Marks card again and select Compute Using > Category. This will create a quick table calculation that shows the percent of total sales for each sub-category within each category. The visualization will look like this:



You create the following worksheet



The Pick Measure parameter contains the following list of values



Users can select a value from Pick Measure to change the visualization to show either the Sales measure or the Profit measure.
Which formula is used in the Selected Measure calculated field lo switch between measures?

  1. Case [Pick Measure]
    WHEN 1 then ([Sales])
    WHEN 2 then ([Profit])
    END
  2. Case AVG([Pick Measure])
    WHEN [Sales] then 1
    WHEN [Profit] then 2
    END
  3. Case [Pick Measure:
    WHEN [Sales] then 1
    WHEN [Profit] then 2 END
  4. Case STFMEPick Measure])
    WHEN "Sales" then ([Sales])
    WHEN "Profit" then ([Profit]) e::i

Answer(s): A

Explanation:

https://help.tableau.com/current/pro/desktop/en-us/parameters_swap.htm This formula uses a parameter (Pick Measure) to switch between the Sales and Profit measures.
When the user selects '1', it shows Sales, and when '2' is selected, it shows Profit. This dynamic switching is enabled by the Case function.



HOTSPOT (Drag and Drop is not supported)
You have a Tableau Prep flow that joins a dataset named Global Indicators to a dataset named Price Indices.
In which step can you transform rows of monthly data into rows of yearly data''

  1. See Explanation for the Answer.

Answer(s): A

Explanation:



You need to change the values of a dimension without creating a new field.
What should you do?

  1. Rename the fields
  2. Create aliases
  3. Create groups
  4. Transforms the fields

Answer(s): B

Explanation:

You can create aliases for the members of a dimension by right-clicking the dimension in the Data pane or in the view and selecting Aliases. This changes how the values are displayed in the view, but not the underlying data. For example, you can create an alias for "Central" as "Midwest". In Tableau, aliases can be used to change the way dimension members appear without altering the underlying data. This is useful for display purposes and does not create a new field within the dataset.



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