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NEW QUESTION # 67
You have a dataset that contains people and the awards they have won.
Which formula should you use to get the number of different types of awards that have been won?
Answer: E
Explanation:
To get the number of different types of awards that have been won, you should use the formula COUNTD({Award}). This formula will return the count of distinct values in the Award field, which are the different types of awards that have been won.
The other options are not correct for this scenario. COVAR({Award}) is not a valid function in Tableau.
MAX({Award}) will return the maximum value in the Award field, which may not be a type of award.
INDEX() will return the index or rank of each row in a partition, which is not related to the types of awards.
References: https://help.tableau.com/current/pro/desktop/en-us/functions_functions_aggregate.htm#COUNTD
https://help.tableau.com/current/pro/desktop/en-us/functions_functions_tablecalculation.htm#INDEX The COUNTD function in Tableau calculates the number of distinct (unique) items in a field. When looking to get the number of different types of awards that have been won, the COUNTD([Award]) function will count each unique award name only once, regardless of how many times it appears in the dataset. This will return the total number of unique award types.
NEW QUESTION # 68
You conned to a Microsoft SQL Server database
You need to create a custom SQL query that retrieves rows from a table named Students Only students m the city of Berlin must be returned How should you complete the query? (Drag the appropriate Options to the Answer Area and drop into the correct locations.)
Answer:
Explanation:
NEW QUESTION # 69
You have the following visualization.
Answer:
Explanation:
NEW QUESTION # 70
You have the following visualization.
You Create a table calculation named Rank_Score that has a formula of RANK(AVG([Score]), and you drag Rank_Score to Text on the Marks cards.
What is the Rank Score value for Student ID 4220?
Answer: D
Explanation:
To determine the Rank Score value for Student ID 4220, we look at the visualization provided and apply the table calculation of RANK(AVG([Score])). This function will rank the average scores in ascending order by default, with the lowest score receiving the rank of 1.
Based on the provided visualization, the scores for the students are as follows (from lowest to highest average score):
Student ID 4183: 39 (Rank 1)
Student ID 4220: 71 (Rank 6)
Student ID 4247: 71 (Rank 6, same score as ID 4220 so they share the same rank) Student ID 4124: 75.5 Student ID 4050: 64 Student ID 4205: 67 Student ID 4056: 66 Since Student ID 4220 has an average score of 71, which is the third-highest score, it shares the rank with Student ID 4247. However, since Tableau ranks without gaps, the actual rank assigned is 6, considering that there are two students with a rank of 4 (due to the same average score being the second lowest), making the next rank number 6.
Note: The actual ranks for the highest scores are not provided, but they are not needed to determine the rank for Student ID 4220.
https://help.tableau.com/current/prep/en-us/prep_calculations.htm
NEW QUESTION # 71
You company has two divisions located in the United States and Germany Bach division has a separate database. The following is a sample of the sales data for the division in the United States.
The following is a sample of the sales data for me division in Germany.
You have population data in a file named Populatio.csv. the following is a sample of the data.
You plan to create a visualization that ml show tie sales per capita for each salesperson Each salesperson must be identified by identified by their full name.
You need to prepare the data to support the planned visualization. The data source must support being published .
Which four actions should you perform in order?
(Place the four correct options n order Use the arrows to move Options to Answer Area arrows to re-order the options.
Use Answer Area arrows to re-order the options)
Answer:
Explanation:
1 - Open Tableau Desktop
2 - Create a new column to concatenate the name for the Germany division.
3 - Union the sales data of both divisions.
4 - Join the sales data and the population data by using City as the join field
NEW QUESTION # 72
......
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