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NEW QUESTION 42 
Refer to the exhibits.
The first table shows the source table (Original table).
This data represents the stocks stored every month for each product:
* The relevant fields are productid, qty, and date.
* The date field represents the calendar months using
* The qty field shows the product stock fluctuation from the current month versus the previous month. If there is no fluctuation between months, there are no new entries in the table.
The second table shows a Pivot table visualization the data analyst needs to create in the app displaying per each product the monthly trend of available stock.
For performance reasons, the data analyst requests the data architect to calculate the running stock quantity of each product for every month in the script.
Which approach should the data architect use?
- A. 1 Generate a Calendar table with all dates between the minimum and maximum date values in an Original table
2. LEFT JOIN the Calendar table back to the Original table to populate the missing qty values - B. 1. Generate a Cartesian JOIN between productid and date in a Combined table
2. LEFT JOIN the Combined table with theOriginal table to populate the missing qty values
3. Use PREVIOUSO and SUM() functions to create the running quantity totals for each product for every month - C. 1. Generate a Calendar table with all dates between the minimum and maximum date values in an Original table
2. RIGHT JOIN the Calendar table back to the Original table to populate the missing qty values
3. Use PEEK() and RANGECOUNTO functions to create the running quantity totals for each product for every month - D. 1 Generate a Cartesian JOIN between productid and date in a Combined table
2 RIGHT JOIN the Combined table with the Original table to populate the missing qty values
3. Use PREVIOUS() and RANGESUMQ functions to create the running quantity totals for each product for every month
Answer: A
NEW QUESTION 43
A data architect wants to combine data on present and historic sales performance.
The historic data is stored in a de-normalized archive, and the present data is maintained in a database.
The output must be contained in a single table.
Which script should the data architect use?
- A.
- B.
- C.
- D.
Answer: C
NEW QUESTION 44
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?
- A. Open the data manager, split the Customers table, and associate both tables on CustomerlD field
- B. Open the data manager, split the Customers table, and JOIN Orders and Customers on the CustomerlD field
- C. Open the data load editor and use JOIN instead of concatenate to combine Orders and Customers by CustomerlD
- D. Open the data load editor and apply a NOCONCATENATE function in the LOAD statement on the Orders table
Answer: C
NEW QUESTION 45
A data architect executes the following script:
Whatwill be the result of Table A?
A)
B)
C)
D)
- A. Option A
- B. Option C
- C. Option D
- D. Option B
Answer: C
NEW QUESTION 46
Refer to the exhibit.
A business analyst reports that the ‘CompanyAge’ field does NOT display for users The data architect examines the LOAD script and wants to place the breakpoint in the script to check the field name.
Which line number should the data architect use?
- A. 242 because field name appears in the output Panel of the debugger
- B. 251 because the field name appears in the Qlik Log files
- C. 251 because the field name appears in the Variable panel of the debugger
- D. 251 because the field name appears in the Output panel of the debugger
Answer: D
NEW QUESTION 47
……
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