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NEW QUESTION 32
True or False: You get different filtering options for categorical and quantitative data

  • A. False
  • B. True

Answer: B

Explanation:
Yes! We get different options for filtering depending on whether we use a categorical data (think dimension) or quantitative data (think measure).
TDS-C01-7bde911d80579bccf52d44dbe40d8822.jpg
Important Note: Each tab adds additional definitions to your filter. For example, you can select to exclude values under the General tab, and also add limits under the Top tab. Selections and configurations from both tabs are applied to your filter. At any time, you can see the definitions of your filter under Summary on the General tab.
TDS-C01-a2a68cc14bce36ffe98b7703ca5f0f25.jpg
Note: If you have a large data source, filtering measures can lead to a significant degradation in performance. It is sometimes much more efficient to filter by creating a set containing the measure and then apply a filter to the set. For more information about creating sets, see Create Sets

 

NEW QUESTION 33
Which of the following would you use to connect to multiple tables in a single data source at once?

  • A. A Join
  • B. A Set
  • C. A Hierarchy
  • D. A Blend

Answer: A

Explanation:
The data that you analyze in Tableau is often made up of a collection of tables that are related by specific fields (that is, columns). Joining is a method for combining data on based on those common fields. The result of combining data using a join is a virtual table that is typically extended horizontally by adding columns of data.
For example, consider the following two tables originating from a single data source:
TDS-C01-3eaafe968230346b44531a4037639958.jpg
We can combine these 2 tables, simply by joining the tables on ID to answer questions like, "How much was paid in royalties for authors from a given publisher?". By combining tables using a join, you can view and use related data from different tables in your analysis.
TDS-C01-daba94412ea9d5f7fe5ba09b616d77d1.jpg

 

NEW QUESTION 34
Dates in Tableau are typically treated as ______________

  • A. Measures
  • B. Dimensions

Answer: B

Explanation:
Explanation
For relational data sources, dates and times are automatically placed in the Dimensions area of the Data pane and are identified by the date or date-time icon. For example, the Order Date and Ship Date dimensions from an Excel data source are shown below:
TDS-C01-e075dd41a3c03adc22f81714403df9aa.jpg
When you place a relational date on a shelf, the field name is automatically modified to reflect the default date level. Tableau defines the default date level to be the level at which there are multiple instances. For example, if the date field includes multiple years, the default level is year. However, if the date field contains data for just one year but includes multiple months, then the default level is month.

 

NEW QUESTION 35
......

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