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. ScheduleTask 1 to run hourly and refresh data from Source 1 2. ScheduleTask 2 to run weekly and refresh data from Source 2 3. Schedule a task for the app that is dependent on completion ofTasks 1 or 2 that loads the two QVDsRefer to the exhibit.

A data architect is loading the tables and a synthetic key is generated. How should the data architect resolve the synthetic key?
A. Create a composite key using OrderlD and LineNoRefer to the exhibit.

The data architect needs to build a model that contains Sales and Budget data for each customer. Some customers have Sales without a Budget, and other customers have a Budget with no Sales During loading, the data architect resolves a
synthetic key by creating the composite key For validation, the data architect creates a table containing Customer, Month. Sales, and Budget columns.
What does the data architect see when selecting a month?
A. All Customers, all Budget and all Sales recordsRefer to the exhibits.

A business analyst needs to see the currency conversion rate for any given date in a chart The currency conversion rate data comes from Qlik DataMarket and only contains a record when the rate changes An existing master calendar exists in the data model which contains a full set of dates.
Which technique should the data architect use to meet this requirement?
A. Outer Join the calendar with the currency conversion table Order by the date and use the Peek function to fill in blank valuesRefer to the exhibit.

A global sales organization operates in three regions: AMERICAS, EMEA: and APAC. Each region stores its sales transactions in a separate database in which the employees update customer data through a third-party app. The data is
extracted into three QVDs.
A data architect sets up a two-tier architecture for the data load. The data architect needs to add the region to the data model.
Which technique should the data architect use to create the Region field?
A. Create a Region field in the SalesTransaction table and populate using fixed region values while loading from each sourceA data architect needs to create an app that combines employee data from the Sales system and the Human Resources (HR) system. These systems identify employees differently. Employees in the HR system are identified with an alpha-numeric key. Employees in the Sales system are identified using an integer key The Human Resources manager creates a table which maps these keys to one another, called Associations. The resultant data model must meet the following requirements: Associations must be valid The model must be optimized for performance The option must support multiple tables added from both systems now and in the future
Which function should the data architect use to meet these requirements?
A. APPLYMAP { 'Associations' , EmployeeKey) AS EmployeeKey;Multiple department fields in a dataset require a description. A data architect needs to add the department descriptions or a default value when the department does NOT have a description. Which strategy should the data architect use to meet these requirements?
A. ApplyMap with two parameters after the Mapping loadRefer to the exhibit.

The Section Access security table for an app is shown User ABC\PPP opens a Qlik Sense app with a table using the field called LEVEL on one of the table columns.
What is the result?
A. The user gets an "Invalid visualization" errorA data architect needs to efficiently prepare a data model for a meeting in an hour. The data source to be used contains five date fields. The app needs to display sales trends and compare the current year to date (CYTD) to last year to date (LYTD). The app is NOT going to be published. It will only be used for this meeting and a single user's ad-hoc analysis. What should the data architect do to meet these requirements?
A. Create a canonical calendarRefer to the exhibit.

The data architect needs to create a KPI that displays the average amount of orders per customer. This aggregated field should be added to the existing orders table. Which script should the data architect use?

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