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NEW QUESTION 54
A data architect is developing an app that will generate QVDs for multiple business analysts. The field naming conventions on the source data are NOT business friendly. For every table loaded, multiple fields will require a name change.
An Excel file is maintained centrally that lists all source data field names and the appropriate names as they should appear in the QVDs Which strategy should the data architect use to meet these requirements?
- A. Use the Alias function and a mapping load
- B. Load in the Excel file as a data island and use the Peek function
- C. Use the Rename function and a mapping load
- D. Create master items using business-friendly names
Answer: C
Explanation:
Explanation
The Rename function allows the data architect to rename fields from the source data to the names specified in the Excel file. The mapping load allows the data architect to load the mapping between the source field names and the business-friendly names from the Excel file. The other options, Create master items using business-friendly names, Use the Alias function and a mapping load, and Load in the Excel file as a data island and use the Peek function, are not valid strategies for meeting these requirements.
NEW QUESTION 55
A data architect needs to develop a script to export tables from a model based upon rules from an independent file. Thestructure of the text file with the export rules is as follows:
These rules govern which table in the model to export, what the target root filename should be, and the number of copies to export.
The TableToExport values are already verified to existin the model.
In addition, the format will always be QVD, and the copies will be incrementally numbered.
For example, the Customer table would be exported as:
What is the minimum set of scripting strategies the data architect must use?
- A. One loop and one SELECT CASE statement
- B. Two loops and one IF statement
- C. One loop and two IF statements
- D. Two loopswithout any conditional statement
Answer: A
Explanation:
Explanation
The data architect will need to use a single loop to iterate through the rows of the independent filecontaining the export rules. Within the loop, they will need to use a SELECT CASE statement to determine which table in the model to export based on the TableToExport value in the current row of the independent file. They can then use the StoreAsFilenamevalue to determine the target root filename, and the NumberOfCopies value to determine the number of copies to export.
This approach makes use of a single loop to iterate through the rows of the independent file, and a SELECT CASE statement to determine which table to export based on the TableToExport value in the current row. It is the most efficient way to accomplish the task with minimal scripting.
You can find the Qlik scripting documentation for Store statement
here:https://help.qlik.com/en-US/sense/June2020/Subsystems/Hub/Content/Scripting/ScriptPrefixes/Store.htman SELECT CASE statement here:https://help.qlik.com/en-US/sense/June2020/Subsystems/Hub/Content/Scripting/ScriptStatements/Select.htm
NEW QUESTION 56
Refer to the exhibit.
A data architect executes the script.
What will be the value of the first row for Field_1?
- A. Null
- B. D
- C. 0
- D. A
Answer: B
NEW QUESTION 57 
Refer io the exhibit.
A data architect needs to modify the script to ONLY load rows from Table_B when Field_1 and Field_2 are the same as in Table_A. (For example, only the row containing A, 1, 456 should be loaded from Table_B.) Which script should the data architect use?
A)
B)
C)
D)
- A. Option A
- B. Option D
- C. Option C
- D. Option B
Answer: D
NEW QUESTION 58
A data architect completes development of a new app with two data sources Both data sources will also be used by other apps in the future The sources have different data refresh frequencies
* Source 1 Contains frequently updated data and must be refreshed hourly
* Source 2 Contains data that is transferred from a partner and must be refreshed weekly Tasks must be created to load the data sources and make sure that the new app uses the most current data The data will be stored in two QVDs Which tasks should be created to meet these requirements'?
- A. 1. Schedule Task 1 to run hourly and refresh data from Source 1
2 Schedule Task 2 that is dependent on Task 1 to refresh data from Source 2
3. Schedule a task for the app that is dependent on completion of Task 2 that loads the two QVDs - B. 1. Schedule Task 1 to run hourly and refresh data from Source 1
2 Schedule Task 2 that is dependent on Task 1 to refresh data from Source 2
3 Schedule a task for the app that is dependent on completion of Tasks 1 and 2 that loads the two QVDs - C. 1 Schedule Task 1 to run hourly and refresh data from Source 1
2 Schedule Task 2 to run weekly and refresh data from Source 2
3. Schedule a task for the app that is dependent on completion of Tasks 1 or 2 that loads the two QVDs - D. 1 Schedule Task 1 to run hourly and refresh data from Source 1
2 Schedule Task 2 to run weekly and refresh data from Source 2
3. Schedule a task for the app that is dependent on completion of Task 2 that loads the two QVDs
Answer: B
Explanation:
Explanation
This option ensures that the data in the two data sources is always up-to-date by scheduling the data refresh tasks to run at the appropriate frequencies. Task 1 runs hourly to refresh data from Source 1, and Task 2 is dependent on Task 1 so that it runs only after Task 1 is completed. This ensures that the data from Source 2 is loaded only after the most current data from Source 1 is loaded.
NEW QUESTION 59
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