Refer to the exhibits.
The first table shows the source table (Original table).
This data represents the stocks stored every month for each product:
• The relevant fields are productid, qty, and date.
• The date field represents the calendar months using
• The qty field shows the product stock fluctuation from the current month versus the previous month. If there is no fluctuation between months, there are no new entries in the table.
The second table shows a Pivot table visualization the data analyst needs to create in the app displaying per each product the monthly trend of available stock.
For performance reasons, the data analyst requests the data architect to calculate the running stock quantity of each product for every month in the script.
Which approach should the data architect use?
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?
Refer to the exhibit.
A data architect executes the script.
What will be the value of the first row for Field_1?
Refer to the exhibits.
A business analyst needs to see the currency conversion provided by a third party process, and only contains a record when the rate changes in a chart. The currency conversion rate data is
An existing master calendar exists in the datamodel that contains a full set of dates.
Which technique should the data architectuse to meet this requirement?