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?
Answer(s): C
In this scenario, the data architect needs to track the history of order fulfillment centers on a per center, per location basis. This means that the data architect needs to match the historical order fulfillment center data with the current order fulfillment center data, based on the center and location.The ApplyMap function allows you to create a mapping between the data in one table and the data in another table, based on a common field. The data architect can use ApplyMap to create a mapping between the historical order fulfillment center data and the current order fulfillment center data, based on the center and location fields.
Refer 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?
Refer to the exhibit.A data architect loads sales data and creates a table which shows only customers who made purchases in 2018 and 2019. The data architect applies the following set analysis expression on the sales measure. Count<{<Year={'2 018'}, CustomerID=P({<Year={'2019*}>})>} Customer ID)Which option shows the resulting table after the expression is applied?
Answer(s): D
A company needs to analyze sales data based on the exchange rate of the different countries every day About 30 reports must be produced with an average of 20r000 rows each. This process is estimated to take about three hours.Reports will be in Excel and distributed to business users according to defined security rules Which two products should the data architect use to build this solution? (Select two.)
Answer(s): B,E
The best answer choices are B. ODAG and E. QIik NPrinting. ODAG (On Demand Application Generation) is a product from Qlik that can be used to quickly generate reports from large datasets. It can produce reports with up to 20,000 rows and can do so in less than three hours. NPrinting is a product from Qlik that can be used to distribute the reports in Excel format according to the defined security rules.
A data architect needs to create an app to analyze 30-day re-admissions at a hospital. · The medical record system does NOT calculate re-admission data · The business rule to follow: if a patient is admitted to a hospital within 30 days after being discharged from a previous hospital stay, that event should be captured in the app with a flag called "30-day Re-admission"· Data being used from the patient record includes hospital account ID, patient ID, admission dater and discharge dateWhich action should the data architect perform first to meet these requirements?
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