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Salesforce Analytics-DA-201 questions and answers
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Salesforce Certified Tableau Data Analyst Sample Questions (Q157-Q162):
NEW QUESTION # 157
You have the following dataset.
You want to create a new calculated dimension field named Category that meets the following conditions:
. When Subject is Computer Science or Science, Category must be Sciences.
. When Subject is English or Social Studies, Category must be Humanities.
Which two logical functions achieve the goal? Choose two.
- A. IF [Subject]- 'Science' THEN 'Sciences'
ELSEIF [Subject]='English' THEN 'Humanities'
ELSEIF [Subject]-'Social Studies' THEN 'Humanities'
ELSEIF [Subject]= 'Computer Science' THEN 'Sciences'
END - B. IF ENDSWITH ( [Subject], 'Computer Science') THEN 'Sciences' ELSE 'Humanities' END
- C. CASE [Subject]
WHEN 'Computer Science' THEN 'Sciences'
WHEN 'Science' THEN 'Sciences'
WHEN 'English' THEN 'Humanities'
WHEN 'Social Studies' THEN 'Humanities'
End - D. IIF(( CONTAINS ([Subject], 'Science') = TRUE) , 'Humanities', 'Sciences')
Answer: A,C
Explanation:
To create a new calculated dimension field named Category that meets the given conditions, you can use either the IF or the CASE logical function. Both functions allow you to evaluate an expression and return a value based on different scenarios. Option A uses the IF function with multiple ELSEIF clauses to check the value of the Subject field and assign it to either 'Sciences' or 'Humanities'. Option D uses the CASE function with multiple WHEN clauses to do the same thing. Both options will produce the same result, but the CASE function is more concise and easier to read. Option B is incorrect because it will assign 'Humanities' to any subject that contains 'Science' in its name, which is not the desired outcome. Option C is incorrect because it will only check if the subject ends with 'Computer Science' and ignore the other subjects. References:
* Logical Functions - Tableau
* Tableau Certified Data Analyst Study Guide
NEW QUESTION # 158
You have the following primary data source that contains a dimension named Dorm_Code.
You receive the following secondary data source that contains updated dorm codes.
You need to bring the updated dorm codes into Tableau and use the codes in existing visualizations. The new dorm codes must use the existing field name of Dorm_Code.
What should you do?
- A. Bring in the secondary table as a left join to the primary data source. From the Data Source page, select Create Calculated Field in the Dorm_Name field and enter [Dcrm_Name_New] in the calculation window
- B. Bring in the secondary data source as a union.
- C. Bring in the secondary data source by using relationships. From the Data pane, right-click Dorm_Name select Replace References, and then select Dorm_Name_New
- D. Create a data blend and select Edit Primary Aliases to replace the primary data source alias values with values from the secondary data source
Answer: C
Explanation:
* Using relationships: You can use relationships to link the secondary data source with the primary data source based on a common field. This will allow you to use fields from both data sources in your visualization without creating new fields or duplicating data. You can then replace references to update the dimension values. For example, you can use relationships to link the updated dorm codes with the primary data source and then replace Dorm_Code with Dorm_Code_New in your visualization.
https://community.tableau.com/s/question/0D54T00000C5ldZSAR/update-data-view-based-on-dimension To update existing visualizations with new codes without changing the field name, using relationships to bring in the secondary data source is appropriate. Then using Replace References allows you to update the references from the old dorm codes to the new ones while maintaining the existing field name.
NEW QUESTION # 159
You have the following dataset.
You plan to create a dashboard that will be filtered to show only data that is relevant to a specific Tableau user based on the Tableau_User_Name field You need to create a boolean calculated field to place on the data source finer Which formula should you use for the filter?
- A. NAMEUSERNAME()
- B. USERNAME()=(Tableau_USER_NAME)
- C. NAME Tableau-USER-NAME)
- D. ISFULLNAMETableu_USER_NAME))=USERNAME()
Answer: B
Explanation:
To create a boolean calculated field to place on the data source filter, you should use the formula USERNAME() = [Tableau_user]. This formula will return TRUE if the current Tableau user name matches the value in the Tableau_user field, and FALSE otherwise. You can use this formula as a data source filter by dragging it to the Filters shelf and selecting TRUE from the menu. This will filter the data to show only the rows that are relevant to the specific Tableau user.
The other options are not correct for this scenario. NAME([Tableau_user]) is not a valid function in Tableau.
ISFULLNAME([Tableau_user]) = USERNAME() is not a valid expression in Tableau. 'S' + STR([Sales]
/1000) is not a boolean expression, but a string expression that converts sales to thousands with a prefix of
"S". References: https://help.tableau.com/current/pro/desktop/en-us/filtering_datasource.htm https://help.
tableau.com/current/pro/desktop/en-us/functions_functions_logical.htm#USERNAME https://help.tableau.
com/current/pro/desktop/en-us/calculations_calculatedfields.htm
In Tableau, the USERNAME() function returns the username of the user who is currently logged in. To create a filter that only shows data relevant to the logged-in Tableau user, a boolean calculated field can be created to compare the current username with the usernames listed in the Tableau_User_Name field of the dataset. Therefore, the correct formula for this filter is USERNAME() = [Tableau_USER_NAME], which will return true for rows where the Tableau_User_Name matches the current user's username.
NEW QUESTION # 160
You have the following dashboard.
When a user selects a only on the map the data on the bar chart must show only the data for the selected city.
The data in the bar chart must change only when the user selects a different city How should you configure the dashboard action? (Use the dropdowns in the Answers Area to select the correct options.)
Answer:
Explanation:
Explanation:
To configure the dashboard action, you should select Filter as the action type, Select as the run action on option, and All Fields as the target filters option. This will ensure that when a user selects a city on the map, the bar chart will show only the data for the selected city based on all fields in common between the two worksheets. The action will run only when the user selects a different city. References: https://help.tableau.
com/current/pro/desktop/en-us/actions.htm https://help.tableau.com/current/pro/desktop/en-us/actions_filter.
htm
NEW QUESTION # 161
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?
- A. COUNTD {(NAME])
- B. COUNTD({Award})
- C. INDEX()
- D. MAX {(Award})
- E. COVAR({Award})
Answer: B
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 # 162
......
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