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Download Qlik Sense Data Architect Certification Exam - 2022 Exam Dumps
NEW QUESTION 48
A data architect needs to develop multiple apps for various departments.
More departments are requesting apps over time The company uses specific requirementsfor the number interpretation variables (e.g., ThousandSep, DecimalSep) found at the beginning of a LOAD script.
The data architect wants to reduce duplicate scripts but does not want to copy and paste the number interpretation variables each time new appis created. The data architect prefers to use the least amount of script in Qlik Sense.
How should the data architect meet these requirements?
Answer: D
Explanation:
Explanation
This method involves saving the script for the number interpretation variables in a separate text file, and then using theINCLUDE function to insert the variables into each new app script that is created. This reduces the need to copy and paste the number interpretation variables each time a new app is created and allows the data architect to use the least amount of script in Qlik Sense.
The INCLUDE function is a script statement that allows you to insert the contents of one script file into another script file. This can be used to insert common scripts, such as the number interpretation variables, into multiple app scripts.
NEW QUESTION 49
Refer to the exhibit.
A business department is forecasting revenue within an Excel spreadsheet.
A data architect needs to include this forecast into the existing data model, and without losing any data.
Which two sets of steps will meet these requirements? (Select two.)
2. Change the sort order by date
3. Create a composite key out of the forecast and region 4 Connect to the existing data modelB. 1 Load the Excel spreadsheet into the data manager
2. Use the Unpivot function
3. Create a composite key from the date and region
4. Connect the new table to the data model
1 Load the Excel spreadsheet using the data manager
2 Rename the ForecastDate field to Date 3. Disable the Region
4 Connect to the existing data modelC. 1. Load the Excel spreadsheet using the data load editor
2 Use the Crosstable function to unpivot the table
3 Create a composite key out of the date and region
4 Connect the new table to the data modelD. 1. Load the Excel spreadsheet using the data load editor
2. Use the Unpivot function
3 Use the Sum function to group the forecast by date
4 Connect to the existing data model
Answer: B,C
Explanation:
Explanation
Option B involves loading the Excel spreadsheet using the data load editor and then using the Crosstable function to unpivot the table, creating a composite key out of the date and region, and connecting the new table to the existing data model. Option D involves loading the Excel spreadsheet using the data manager, using the Unpivot function, creating a composite key from the date and region, and connecting the new table to the existing data model.
NEW QUESTION 50
Refer to the exhibits.
Some business users created an app by using the Add data functionality and loading two Excel files Orders and Customers.
The app is used to analyze the number of orders by customer. When the users create a bar chart to review the figures, the data shown is incorrect.
What should the data architect do to resolve this issue?
Answer: A
NEW QUESTION 51
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