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?
A 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?
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?
Refer to the exhibits.
The first table, Mastersports, contains the master list of all sport names that need to be loaded into the app. The second table, TeamMembers, contains the teams and team members registered for specific sports.
In a Qlik Sense app, a data architect is loading the two tables that need to be linked together based on the Sport field. The table format cannot be changed in the source.
What should the data architect do in the data load editor?
Refer to the exhibit.
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:
A data architect needs to upload data from ten different sources, but only if there are any changes after the last reload When data is updated, a new file is placed into a folder mapped to E A439926003 The data connection points to this folder.
The data architect plans a script which will:
1. Verify that the file exists
2. If the file exists, upload it Otherwise, skip to the next piece of code
The script will repeat this subroutine for each source. When the script ends, all uploaded files will be removed with a batch procedure.
Which option should the data architect use to meet these requirements?
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?
Refer to the exhibit.
A data architect has a data model that includes historical order fulfillment centers. The order fulfillment centers occasionally changed location. The history of order fulfillment must be tracked on a per center, per location basis.
Which scripting function should the data architect use to meet this data modeling requirement?