Tableau TDS-C01 Exam Fee | TDS-C01 Valid Test Question & Practice TDS-C01 Questions

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Download Tableau Desktop Specialist Exam Dumps

NEW QUESTION 26
How can you add color to marks in the view in Tableau?

  • A. From the Data pane, drag a field to Color on the Marks card.
  • B. In the column/row shelf, right click the field and click on edit in shelf to select the color.
  • C. Click on Data in the main menu above, and click on choose color.
  • D. From the Analytics pane, drag a model to Color on the Marks card.

Answer: A

Explanation:
To assign a color to marks in the view, do the following:
From the Data pane, drag a field to Color on the Marks card.
Tableau applies different colors to marks based on the field's values and members. For example, if you drop a discrete field (a blue field), such as Category, on Color, the marks in the view are broken out by category, and each category is assigned a color.
TDS-C01-5fa7f1b9808eb56803bd0393cb897996.jpg
If you drop a continuous field, such as SUM(sales), on Color, each mark in the view is colored based on its sales value.
TDS-C01-f2f605cfb9ccaa864f1003133f5f0925.jpg

 

NEW QUESTION 27
Which of the following are compelling reasons to use a Stacked Bar Chart?

  • A. To visualize each discrete category using a separate bar.
  • B. To be able to visualize complex information with fewer bars /
    marks
  • C. To visualize parts of a whole
  • D. To easily visualize trends over time

Answer: B,C

Explanation:
Stacked bar charts will usually have lesser number of bars compared to a normal bar chart:
Normal bar chart - 9 bars
TDS-C01-7eb6bb0b300cbfb4c9dd95280d6db1d6.jpg
Stacked Bar Chart - 3 bars
TDS-C01-223a9d8b340ec8625ced5bd67dd8c5cc.jpg
We can easily see a 'part-of-a-whole' methodology being used here as well - we are seeing the breakdown of Segments within each Category.
To easily visualize trends over time - This is the definition of a line chart.
To visualize each discrete category using a separate bar - This can be accomplished using a simple bar chart, why use a stacked one?

 

NEW QUESTION 28
What is the following icon in the Data pane used to do?
Larger image
TDS-C01-529520a902739c4bfc3d9a1dc4ca93d9.jpg

  • A. Clean Data
  • B. Sort Data
  • C. View Data
  • D. Extract Data

Answer: C

Explanation:
View Data allows you to inspect your data in a spreadsheet-like layout. You can view data either for the data source as a whole, or to see the underlying data for an individual mark or a group of marks. In a worksheet, the rows that you see in the View Data window are always scoped to the current selection or the current view.
The View Data window displays as much of the data as possible by default, up to 10,000 rows. Field names are shown as column headers and can be dragged and dropped to change their display order. Click a column header to sort the values in that column.
From the official website:
TDS-C01-0710a22ecbc6cd6827ec4989f17b0379.jpg

 

NEW QUESTION 29
A field that shows average home values for the United States in 2016 is most likely :

  • A. A discrete date part dimension
  • B. A geographical dimension
  • C. An aggregated measure
  • D. A continuous date value dimension

Answer: C

Explanation:
Explanation
This question is directly from the Official Tableau Desktop Specialist exam guide.
Since we are talking about the AVERAGE home values for the United States in 2016, the question is directly offering us a hint that the answer has something to do with aggregation and that too the values tell us that we're working with MEASURES.
Date part and Date values don't really make much sense given the question, and neither does geography.
Therefore, the answer naturally is "An aggregated measure".

 

NEW QUESTION 30
Which of the following options best describe measures?

  • A. They are numerical, qualitative
  • B. They are numerical, quantitative
  • C. They are categorical, qualitative
  • D. They are categorical, quantitative

Answer: B

Explanation:
Data fields are made from the columns in your data source. Each field is automatically assigned a data type (such as integer, string, date), and a role: Discrete Dimension or Continuous Measure (more common), or Continuous Dimension or Discrete Measure (less common).
Dimensions contain qualitative values (such as names, dates, or geographical data). You can use dimensions to categorize, segment, and reveal the details in your data. Dimensions affect the level of detail in the view.
Measures contain numeric, quantitative values that you can measure. Measures can be aggregated. When you drag a measure into the view, Tableau applies an aggregation to that measure (by default).

 

NEW QUESTION 31
......

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