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You plan to develop a Power BI report that has a bar chart to display the number of customers by location. You have a table named Customer that has the following columns:* Customer ID* CustomerName* Address* City* ProvState* CountryYou need to allow users to drill down by location. The report will display the number of each customer by Country, and drill down to ProvState, and then to City. How should you configure the drill down in the bar chart?
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.You have a Power BI model that contains two tables named Sales and Date. Sales contains four columns named TotalCost, DueDate, ShipDate, and OrderDate. Date contains one column named Date.The tables have the following relationships:Sales[DueDate] and Date[Date]Sales[ShipDate] and Date[Date]Sales[OrderDate] and Date[Date]The active relationship is on Sales[DueDate].You need to create measures to count the number of orders by [ShipDate] and the orders by [OrderDate]. You must meet the goal without duplicating data or loading additional data.Solution: You create measures that use the CALCULATE, COUNT, and USERELATIONSHIP DAX functions.Does this meet the goal?
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.You have a query for a table named Sales. Sales has a column named CustomerlD. The Data Type of CustomerlD is Whole Number.You refresh the data and find several errors. You discover that new entries in the Sales table contain nonnumeric values.You need to ensure that nonnumeric values in the CustomerlD column are set to 0.Solution: From Query Editor, select the CustomerlD column and click Remove Errors.Does this meet the goal?
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.You have a Microsoft Excel workbook that is saved to Microsoft SharePoint Online. The workbook contains several Power View sheets.You need to recreate the Power View sheets as reports in the Power Bl service.Solution: From the Power Bl service, get the data from SharePoint Online, and then click ConnectDoes this meet the goal?
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.You have a Microsoft Excel workbook that is saved to Microsoft SharePoint Online. The workbook contains several Power View sheets.You need to recreate the Power View sheets as reports in the Power Bl service.Solution: Copy the workbook to Microsoft OneDrive for Business. From Excel, click Publish to Power Bl, and then click UploadDoes this meet the goal?
