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POWER BI [PI-300]


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[Front]


You need to make changes to your data sources. Which three changes are supported by the Data Source Settings in the Power Query interface? Each correct answer presents a complete solution. Select all answers that apply. adding a column clearing permissions editing permissions renaming a column modifying the file path
[Back]


clearing permissions This answer is correct. editing permissions This answer is correct. modifying the file path This answer is correct

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POWER BI [PI-300] - Detalles

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From the Power Query Editor, you import data from a .csv file. The data includes a column named ZIP that contains postal codes from the United States.You notice that Power Query Editor automatically applies the Whole Number data type to the ZIP column.You need to ensure that the ZIP column uses the Text data type and that all values remain 5 characters long.What should you do? From the data view in Power BI Desktop, change the column data type from number to text. From Power Query Editor, add a new applied step at the end of the query to convert the ZIP column from number back to text. From Power Query Editor, delete the changed type step. From Power Query Editor, update the current changed type step and replace convert from number to text for the ZIP column.From Power Query Editor, update the current changed type step and replace convert from number to text for the ZIP column.This answer is correct.
From Power BI Desktop, you open a Power BI report that contains three pages named Main, Error Rate, and On-time Rate. You add a button to the Main page for navigation. You need to implement a solution that meets the following requirements: The navigation destination must change based on the output of a DAX measure named [Error Rate]. If [Error Rate] is greater than 5%, the button must display the text “Error Rate” and navigate to the Error Rate page. Otherwise, the button must display the text “On-time Rate” and navigate to the On-Time Rate page. What three actions should you perform? Each correct answer presents part of the solution.Select all answers that apply. Set the button type to Page Navigation and then use conditional formatting to specify the destination. Create a DAX measure that outputs the correct page name based on the value of [Error Rate]. Set the button type to Bookmark and then use conditional formatting to specify the destination. Set the navigation destination to the Error Rate page. Use conditional formatting to set the button text.Create a DAX measure that outputs the correct page name based on the value of [Error Rate]. This answer is correct. Set the button type to Page Navigation and then use conditional formatting to specify the destination. This answer is correct. Use conditional formatting to set the button text. This answer is correct.
From the Power Query Editor, you import data from a .csv file. The data includes a column named ZIP that contains postal codes from the United States.You notice that Power Query Editor automatically applies the Whole Number data type to the ZIP column.You need to ensure that the ZIP column uses the Text data type and that all values remain 5 characters long.What should you do? From Power Query Editor, update the current changed type step and replace convert from number to text for the ZIP column. From the data view in Power BI Desktop, change the column data type from number to text. From Power Query Editor, add a new applied step at the end of the query to convert the ZIP column from number back to text. From Power Query Editor, delete the changed type step.From Power Query Editor, update the current changed type step and replace convert from number to text for the ZIP column. This answer is correct.
You have a Power BI data source that contains the following tables: ProductCategory: Lists the product category ID and category name ProductSubcategory: Lists the product subcategory ID, subcategory name, and the related category ID ProductList: Lists the product ID, name, and subcategory ID You need to optimize the data to create a dimension for use in a star schema data model. How should the tables be transformed before loading into the model?Select only one answer. Import all three tables into the data model and connect them using relationships. Merge the queries to create a single loaded table for Product. Import only the ProductName table into the model. Use the append command to create a single loaded table for product.Merge the queries to create a single loaded table for Product. This answer is correct.
You have an Azure SQL database that contains two tables named SalesOrders and SalesOrderDetails. You load the SalesOrders and SalesOrderDetails tables into Power BI Desktop. The tables have a relationship based upon the SalesOrderID column. You need to combine the two tables into one table. The solution must meet the following requirements: There is a row for every SalesOrderDetails row in the resulting table, even if there is no corresponding SalesOrders row. For every SalesOrderDetails row, the row in the resulting table includes the corresponding SalesOrders row data if the SalesOrder row exists. Any SalesOrder row data that does not have corresponding SalesOrderDetails rows is not included in the resulting table. What should you do to combine the two tables?Select only one answer. Append the tables. Merge the tables using the full outer join kind based on the sales order id. Merge the tables using the inner join kind based on the sales order id. Merge the tables using the left outer join kind based on the sales order id.Merge the tables using the left outer join kind based on the sales order id. This answer is correct.
You have an Azure SQL database that contains two tables named SalesOrders and SalesOrderDetails. You load the SalesOrders and SalesOrderDetails tables into Power BI Desktop. The tables have a relationship based upon the SalesOrderID column. You need to combine the two tables into one table. The solution must meet the following requirements: There is a row for every SalesOrderDetails row in the resulting table, even if there is no corresponding SalesOrders row. For every SalesOrderDetails row, the row in the resulting table includes the corresponding SalesOrders row data if the SalesOrder row exists. Any SalesOrder row data that does not have corresponding SalesOrderDetails rows is not included in the resulting table. What should you do to combine the two tables? Append the tables. Merge the tables using the left outer join kind based on the sales order id. Merge the tables using the full outer join kind based on the sales order id. Merge the tables using the inner join kind based on the sales order id.Merge the tables using the left outer join kind based on the sales order id. This answer is correct.
From Power BI Desktop, you open a Power BI report that contains three pages named Main, Error Rate, and On-time Rate.You add a button to the Main page for navigation.You need to implement a solution that meets the following requirements:The navigation destination must change based on the output of a DAX measure named [Error Rate].If [Error Rate] is greater than 5%, the button must display the text “Error Rate” and navigate to the Error Rate page.Otherwise, the button must display the text “On-time Rate” and navigate to the On-Time Rate page.What three actions should you perform? Each correct answer presents part of the solution. Create a DAX measure that outputs the correct page name based on the value of [Error Rate]. Set the button type to Page Navigation and then use conditional formatting to specify the destination. Set the button type to Bookmark and then use conditional formatting to specify the destination. Set the navigation destination to the Error Rate page. Use conditional formatting to set the button text.Create a DAX measure that outputs the correct page name based on the value of [Error Rate]. This answer is correct. Set the button type to Page Navigation and then use conditional formatting to specify the destination. This answer is correct. Use conditional formatting to set the button text. This answer is correct.
You have a fact table that contains sales data and the following two date columns: OrderDate ShipDate Both columns have a relationship to the Date column in the Calendar table, and DAX measures have been configured to use these relationships for calculations related to order or ship dates. You need to ensure that by default, the Calendar table does NOT filter the fact table, unless it is using a DAX measure that uses these relationships. What should you do? Select only one answer. Disable Make this relationship active for both relationships. Enable Apply security filter in both directions for both relationships. Enable Make this relationship active for both relationships. Set the cross-filter direction to both for each relationship.Disable Make this relationship active for both relationships. This answer is correct.