Refer to the exhibit.A data architect needs to build a sales dashboard. Data is stored in a legacy database. The extracted data contains the date in the format, 'YYYDDMM'. Due to the source date format, the dates are being loaded as numbers.Which function should the data architect use to fix this issue?
A data architect uses the Qlik GeoAnalytics connector to determine the closest airports to cities in an existing app. The built location generates data for the airport locations. The data load editor runs the script and sees a circular reference and a synthetic key.How should the data architect fix these issues?
Refer to the exhibits.Which corrective action should be taken to achieve the expected view?
Refer to the exhibit.The business analyst previews some data and notices different values for the United States in the Country field. The analyst must be able to report the total sales for the United States. The data architect must fix this issue in the LOAD script.Which function should the data architect use to fix data quality issue?
Refer to the exhibit.The data model shown has a synthetic key for information that contains actual sales and budget sales for a multi-national company. As a business requirement, users must be able to drill down by department and country. Data must not be lost. Due to data quality issues, some departments are NOT included in the Sales and Budget tables. The data architect needs a method to eliminate synthetic keys that generates the fastest performing data model.Which method should the data architect use?
A car manufacturer has several QlikView apps. The manufacturer decides to migrate some specific apps to Qlik Sense. The manufacturer decides to migrate some specific wants to reuse front-end variables from the previous QlikView app.Which strategy should a data architect use to meet these requirements?
