QlikView QSDA2022 Online Practice Questions and Exam Preparation

QlikView QSDA2022 Online Questions & Answers

• Question 71:

  Refer to the exhibit.

  

  Refer to the exhibits.

  While using an app, the users report that some Sales Reps do NOT have personal details, like Division or Address Number A data architect has been called in to investigate.

  The data architect uses the data model viewer to determine the relationship between the SalesRepMaster and CustomerMaster tables.

  What is the cause of the issue?

  A. 26 values for Sales Rep are null in CustomerMaster
  B. 40.7% of the Sales Rep have CustomerMaster information
  C. 59.3% of the Sales Rep have CustomerMaster information
  D. Density is 100% while Total Distinct and Present Distinct are NOT the same
  D. Density is 100% while Total Distinct and Present Distinct are NOT the same

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  Explanation/Reference:

  When using the data model viewer to investigate the relationship between the SalesRepMaster and CustomerMaster tables, the data architect would look at the density of the relationship. Density is a measure of how well the key

  fields of a table match the key fields of another table. A density of 100% means that all key fields in one table have a match in the other table.

  When the density is 100% but the total distinct and present distinct values for the key fields of the related tables do not match, it means that some of the key fields in one table do not have a match in the other table, this is the cause of the

  issue.

• Question 72:

  Refer to the exhibit.

  

  A data architect is working on a Qlik Sense app the business has created to analyze the company orders and shipments. To understand the table structure, the business has given the following summary:

  Every order creates a unique orderlD and an order date in the Orders table An order can contain one or more order lines one for each product ID in the order details table Products in the order are shipped (shipment date) as soon as tliey are ready and can be shipped separately The dates need to be analyzed separately by Year Month, and Quarter

  The data architect realizes the data model has issues that must be fixed.

  Which steps should the data architect perform?

  A. 1. Create a key with OrderlD and ProductID in the OrderDetails table and in the Orders table 2. Delete the ShipmentID in the Shipments table 3. Delete the ProductID and OrderlD in the OrderDetails table 4. Concatenate Orders and OrderDetails 5. Create a link table using the MasterCalendar table and create a concatenated field between OrderDate and ShipmentDate
  B. 1. Create a key with OrderlD and ProductID in the OrderDeta Is table and in the Shipments table 2. Delete the ShipmentID in the Orders table 3. Delete the ProductID and OrderlD in the Shipmi 4. Left join Orders and OrderDetails 5. Use Derive statement with the MasterCalendar table and apply the derive fields to OrderDate and ShipmentDate
  C. 1. Create a key with OrderlD and ProductID in the OrderDetails tab e and in the Orders table 2. Delete the ShipmentID in the Shipments table 3. Delete the ProductID and OrderlD in the OrderDetails 4. Left join Orders and OrderDetails 5. Use Derive statement with the MasterCalendar table and apply the derive fields to OrderDate and ShipmentDate
  D. 1. Create a key with OrderlD and ProductID in the OrderDetails table and in the Shipments table 2. Delete the ShipmentID in the Orders table 3 Delete the ProductID and OrderlD in the Shipments table 4. Concatenate Orders and OrderDetails
  D. 1. Create a key with OrderlD and ProductID in the OrderDetails table and in the Shipments table 2. Delete the ShipmentID in the Orders table 3 Delete the ProductID and OrderlD in the Shipments table 4. Concatenate Orders and OrderDetails

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  Explanation/Reference:

• Question 73:

  Refer to the exhibits.

  

  While debugging an app, a developer loads data from an application layer QVD file.

  In the process of separating a concatenated key into two parts, some split results are missing data

  What should the data architect do?

  A. Utilize a combination of LEFT(), MID(), and RIGHT() functions to capture the key components
  B. In the SUBFIELD function, replace the `_' with a `|' or `_' character.
  C. Utilize a combination of LEFT(), MID(), and RIGHTO functions to capture the key components
  D. In the SUBFIELD function, replace the '- with a `|' or '-' character
  E. Instruct the developer of the QVD file to correct the generation of the ConcatKeyAlpha field
  F. Wrap an IF() function around the SUBFIELDQ functions to check and adapt to null values character
  G. Instruct the developer of the QVD file to correct the generation of the ConcatKeyAlpha field
  H. Wrap an IF() function around the SUBFIELD() functions to check and adapt to null values
  D. In the SUBFIELD function, replace the '- with a `|' or '-' character

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  Explanation/Reference:

• Question 74:

  Refer to the exhibit.

  

  This table contains information about the number of admissions and discharges of patients in a hospital. The values can be positive or negative. The data architect needs to create an extra column that contains the number of patients that are currently in the hospital.

  Which script should the data architect use ?

  

  A. Option A
  B. Option B
  C. Option C
  D. Option D
  A. Option A

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  Explanation/Reference:

• Question 75:

  A human resources (HR) team manager is due to go on leave. The manager needs to assign permissions to colleague to help the HR team publish apps. Which action(s) should the manager assign to the colleague before going on leave?

  A. Owner Publish
  B. Publish
  C. Owner Publish, Read
  D. Publish, Read
  A. Owner Publish

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  Explanation/Reference:

  The Owner Publish permission allows the colleague to publish apps on behalf of the manager, allowing the HR team to continue to publish apps while the manager is away. The other options, Publish, Owner Publish, Read, and Publish, Read, do not provide the colleague with the necessary permissions to publish apps on behalf of the manager.

• Question 76:

  

  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 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
  B. 1. Generate a Cartesian JOIN between productid and date in a Combined table 2. LEFT JOIN the Combined table with the Original 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 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
  D. 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

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  Explanation/Reference:

• Question 77:

  A data architect executes the following script.

  

  Which values does the OrderDate field contain after executing the script?

  A. 20210131, 2020/01/31, 31/01/2019, 0
  B. 20210131,2020/01/31,31/01/2019
  C. 20210131, 2020/01/31, 31/01/2019, 9999
  D. 20210131, 2020/01/31, 31/01/2019, 31/12/20
  D. 20210131, 2020/01/31, 31/01/2019, 31/12/20