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A company has a stream with multiple apps One of the apps is a multi-regional sales app.

A data architect must set up security for users to access the stream, enter the app, and view specific sheets and data.

Which features should the data architect use to meet these requirements?

Refer to the exhibit.

q2_QSDA2021

Refer to the exhibits.

An app is built to analyze salesperson performance by department. Departments are unique within the Departments table, but Salespeople often move between departments. A strict business rule states that a salesperson must be associated with ONLY one department at all times.

The data architect creates a summary of department performance and notices the values are incorrect. The total sales KPI shows the correct result.

How should the data architect modify the data model to correct this issue?

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

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

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

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

A data architect needs to build an Order Fulfillment app. The business requires front-end performance is optimized.

The OrderDate and ShipmentDate are located in different tables.

The user needs to identify the data type and must be able to:

* Show trends for orders and shipments

* Use a single filter for both date fields

* Analyze data over fiscal periods

Which steps should the data architect take to build the data model?

A1. Create a link table with master calendar fields
2. Create a single filter using fields from the master calendar

B1. Load the Shipments and Orders table via the data manager
2. Create a single filter using fields from the Orders table

C1. Create a master calendar and join into the Shipments and Orders table
2. Create a single filter using fields from the Shipments table

D1. Create a master calendar table as a data island
2. Create a single filter using fields from the master calendar

Refer to the exhibit.

q4_QSDA2021

While performing a data load from the source shown, the data architect notices it is NOT appropriate for the required analysis.

The data architect runs the following script to resolve this issue:

q4_QSDA2021

A data architect needs to develop multiple apps for various departments. More departments are requesting apps over time The company uses specific requirements for 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 app is created. The data architect prefers to use the least amount of script in Qlik Sense.

How should the data architect meet these requirements?

ASave the script for the number interpretation variables in a text file and use the CALL function to insert the variables.

BCreate an Excel file with the number interpretation variables and use a FOR Next loop to load the variables into Qlik Sense

CSave the script for the number interpretation variables in a text file and INLUDE function to insert the variables

DCreate an Excel file with the number interpretation variables and apply the variables to the app using a mapping table

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