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Download Tableau Desktop Specialist Exam Dumps

NEW QUESTION 22
Tableau auto-generates ____________ dimension(s) and _____________ measure(s) for us

  • A. 2 , 3
  • B. 2 , 2
  • C. 1 , 4
  • D. 1 , 2

Answer: C

Explanation:
Explanation
Tableau auto-generates :
1 Dimension - Measure Names
4 Measures - Latitude, Longitude, Number of records, Measure Values
Starting with Tableau 2020.2, every table in a data source has a Count field, in the form of NameofTable(Count). The table count field is an automatically generated, calculated field. (THIS IS NOT PRESENT IN VERSION 2020.1 ON WHICH THE EXAM IS CURRENTLY BASED)

 

NEW QUESTION 23
Using the CoffeeChain table, create a chart to see the monthly Percent difference change in Profit, from the beginning of 2012 to the end of 2013. How many months saw a Negative percent difference in Profit?

  • A. 0
  • B. 1
  • C. 2
  • D. 3

Answer: C

Explanation:
Follow along to reach the correct answer:
1) First, drag Date to the Column shelf and Profit to the Rows shelf. We need to see the 2 consecutive months over this two year period (2012-2013) so this tells us we need to work with continuous dates:
Click on Date in the Column shelf and convert it to continuous month :
TDS-C01-96ea3fd9b3349fdd1ed0f6c91622bccd.jpg
2) Now, click on the Profit pill in the Rows shelf, go to quick table calculation and choose Percent difference:
TDS-C01-7beb604e95de8f500691e3ae2682d20f.jpg
3) Finally, click on the Show mark Labels icon:
TDS-C01-f884fdf2366b8480f7b04a3914370fb2.jpg
4) We finally have our view, and clearly, 10 Months have a NEGATIVE percent difference:
TDS-C01-8f9f317ab930ce192fad075f00fcb8be.jpg

 

NEW QUESTION 24
You can use the __________________ in Tableau to clean / organise your data.

  • A. Data cleaner
  • B. Data organiser
  • C. Data interpreter
  • D. Data manager

Answer: C

Explanation:
When you track data in Excel spreadsheets, you create them with the human interface in mind. To make your spreadsheets easy to read, you might include things like titles, stacked headers, notes, maybe empty rows and columns to add white space, and you probably have multiple tabs of data too.
When you want to analyze this data in Tableau, these aesthetically pleasing attributes make it very difficult for Tableau to interpret your data. That's where Data Interpreter can help.
TDS-C01-0163660f24b5b00a58293ae275da45f0.jpg

 

NEW QUESTION 25
......

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