Note: This question is part of a series of questions that use the same scenario. For your convenience, the scenario is repeated in each question. Each question presents a different goal and answer…

Note: This question is part of a series of questions that use the same scenario. For your convenience, the scenario is repeated in each question. Each question presents a different goal and answer choices, but the text of the scenario is the same in each question in this series. You have a Microsoft SQL Server database that contains the following tables. The following columns contain date information: - Date[Month] in the mmyyyy format - Date[Date_ID] in the ddmmyyyy format - Date[Date_name] in the mm/dd/yyyy format - Monthly_returns[Month_ID] in the mmyyyy format The Order table contains more than one million rows. The Store table has a relationship to the Monthly_returns table on the Store_ID column. This is the only relationship between the tables. You plan to use Power BI Desktop to create an analytics solution for the data. You need to create a chart that displays a sum of Order[Order_amount] by month for the Order_ship_date column and the Order_date column. How should you model the data?