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NEW QUESTION # 171
You want to add a comment to March 2020 as shown in the following visualization.
You have the following sets in a Tableau workbook
* Top N Customers
* Customers of 2020
* Top N Products
* Sellers of 2020
Which two sets can you combine? Choose two
Answer: C,D
Explanation:
To combine two sets, they must have at least one dimension in common. In this case, Customers of 2020 and Top N Customers both have Customer Name as a dimension, so they can be combined using set operations such as union, intersection, or difference. Sellers of 2020 and Top N Products have different dimensions (Seller Name and Product Name), so they cannot be combined. References: https://help.tableau.com/current
/pro/desktop/en-us/sets.htm https://help.tableau.com/current/pro/desktop/en-us/sets_create.htm#combine-sets In Tableau, sets can be combined if they are created from the same dimension. From the options provided,
"Customers of 2020" and "Top N Customers" are likely created from the same dimension (Customers).
Therefore, these two sets can be combined to create a new set that includes or excludes members based on the combined criteria. Combining sets like "Top N Products" with "Customers of 2020" would not be feasible unless they are from the same dimension, which is typically not the case.
NEW QUESTION # 172
You have the following dataset in Microsoft Excel.
You are using Data interpreter to cleans the dataset. Data interpreter provides the following results.
How many rows of data will be ingested into Tableau as values?
Answer: A
Explanation:
Data interpreter is a feature that helps you clean and structure your data in Excel before importing it into Tableau. It detects and removes any headers, footers, subtotals, or other elements that are not part of the actual data. It also splits any merged cells and fills in any missing values. In this case, data interpreter provides the following results:
* It removes the first three rows and the last two rows that contain headers and footers.
* It splits the merged cells in column A and fills in the missing values with "Fiction" or "Non-Fiction".
* It does not remove or change any other rows or cells.
Therefore, the number of rows of data that will be ingested into Tableau as values is 17, which is the number of rows left after removing the headers and footers. References: https://help.tableau.com/current/pro/desktop
/en-us/importing_cleaning_up_data.htm https://help.tableau.com/current/pro/desktop/en-us
/importing_data_interpreter.htm
Based on the Data Interpreter's results and the provided Excel dataset screenshot, the number of rows of data that will be ingested into Tableau as values is 17. The Data Interpreter has identified and excluded headers and footers, and the rows with actual data are considered for analysis.
NEW QUESTION # 173
You have a workbook that uses an extracted data source.
You publish the workbook to Tableau Server.
Which three actions can you perform from the Extract Refresh page in Tableau Server? Choose three.
Answer: A,C,E
NEW QUESTION # 174
A Data Analyst wants to create the following table in a view:
Which function should the analyst use to create the Position column?
Answer: C
NEW QUESTION # 175
You have the following dataset that contain null values in the Profits field.
You want the data to appear as shown in the following table.
Which two formulas achieve the goal? Choose two.
Answer: C,D
Explanation:
Both the ZN and IFNULL functions in Tableau can be used to replace NULL values with zeros. The ZN function converts NULL to zero directly, while the IFNULL function allows you to specify that NULL should be replaced with zero. Both will result in showing zero for any NULL values in the Profits field.
References: https://help.tableau.com/current/pro/desktop/en-us/functions_functions_logical.htm#IFNULL
https://help.tableau.com/current/pro/desktop/en-us/functions_functions_logical.htm#IF https://help.tableau.
com/current/pro/desktop/en-us/functions_functions_logical.htm#ZN https://help.tableau.com/current/pro
/desktop/en-us/functions_functions_logical.htm#ISNULL
NEW QUESTION # 176
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