Free Tableau Desktop Specialist TDS-C01 Practice Exam

Free Tableau Desktop Specialist TDS-C01 Practice Exam

Want to pass TDS-C01 Tableau Desktop Specialist exam easily? TDS-C01 Tableau Desktop Specialist exam is for those who have foundational skills and understanding of Tableau Desktop and at least three months of applying this understanding in the product.  FreeTestShare provides the best quality TDS-C01 Practice Exam available. With a thorough understanding of these top-rated TDS-C01 Practice Exam, you will find it much easier to assess your preparation for the Tableau Desktop Specialist exam. Our TDS-C01 Practice Exam makes your preparation process simply because they are designed to help you pass your TDS-C01 exam on the first try.

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1. Which of the following represent a valid method to create a Bullet Graph with the LEAST number of fields possible?

2. Using the Time Series Table, create a Line chart showing the Monthly Year over Year Growth for the Sales, broken down by Assortment.

For the Electronics assortment, which Month had the most NEGATIVE value of Year over Year Growth?

3. Using the Time Series table, create a cross-tab showing sales for each Assortment broken down by Year and Quarter.

In Q4 of October 2017, what was the Average sales amount for the Hardware assortment?

4. When working with Excel, text file data, JSON file, .pdf file data, you can use _________________ to union files across folders, and worksheets across workbooks.

Search is scoped to the selected connection.

5. You want to add Custom shapes to your visualisation. Where can you add these new shapes?

6. Which of the following would you use to connect to multiple tables in a single data source at once?

7. Which of the following chart type makes use of 'binned' data?

8. What is the one critical difference between normal calculated fields, and the calculated fields created after Data blending?

9. Given a map, which of the following fields can be placed in Size,Shape,Detail,Color

10. True or False: You get different filtering options for categorical and quantitative data



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