Free Qlik QSDA2022 Practice Exam with Questions & Answers | Set: 2

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

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

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

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

Create a bridge table between the Departments and Salespeople tables to resolve the many-to-many relationship

Create a bridge table between the Transactions and Salespeople tables to resolve the many-to-many relationship

Join the Departments and Salespeople tables to resolve the many-to-many relationship

Join the Transactions and Salespeople tables to resolve the many-to-many relationship

Open the data manager, split the Customers table, and associate both tables on CustomerlD field

Open the data manager, split the Customers table, and JOIN Orders and Customers on the CustomerlD field

Open the data load editor and use JOIN instead of concatenate to combine Orders and Customers by CustomerlD

Open the data load editor and apply a NOCONCATENATE function in the LOAD statement on the Orders table

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

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 model

1 Load the Excel spreadsheet using the data load editor

2. Change the sort order by date

3. Create a composite key out of the forecast and region 4 Connect to the existing data model

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 model

A circular reference with one table disconnected

A synthetic table with two synthetic keys

A synthetic table with three synthetic keys

A synthetic table and one synthetic key

OQIikGeoAnalytics

ODAG

QIikDataMarket

Qlik Storytelling

QIik NPrinting

Remove the LineNo field from Shipments and use the AutoNumber function on the

Create a composite key using OrdertD and LineNo

Remove the LineNo field from both tables and use the AutoNumber function on the OrderlC field

Create a composite key using OrderlD and LineNo. and remove OrderlD and LineNo from Shipments

IntervalMatch

Peek

ApplyMap

Inner Join

NullAsValue*; Set NullValues = 'Missing Value';

NullasNull *;

Set NullValues = 'Missing Value';

NullasNull *;

Set NullValue = 'Missing Value';

NullAsValue*;

Set NullValue = 'Missing Value';

All Customers, all Budget and all Sales records

Customer and Sales records for that month, but missing values for Budget

Customer and Budget records for that month, but missing values for Sales

Customer, Sales, and Budget records for that month