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Adding an index key and normalizing casing in the data source would help resolve issues with undefined values and errors in a case-sensitive column. The index key can provide a unique identifier, and normalizing casing ensures consistency in the data, which would likely prevent the errors you encountered in the Power BI semantic model. You have a Power BI data model that imports a date table and a sales table from an Azure SQL database data source. The sales table has the following date foreign keys. * Due Date * Order Date * Delivery Date You need to support the analysis of sales over time based on all three dates at the same time. Solution: You create measures that use the USERELATIONSHIP DAX function to filter sales on the inactive relationships between sales table and the date table. Does this meet the goal?
You have a Power BI data model that contains a table named Employees. The table has the following columns: * Employee Name * Email Address * Start Date * Job Title You are implementing dynamic row-level security (RLS). You need to create a table filter to meet the following requirements: * Users must see only their own employee data * The DAX expression must work in both Power 81 Desktop and the Power BI service. Which expression should you use?
You need to create relationships to meet the reporting requirements of the customer service department. What should you create?
You are profiling data by using Power Query Editor. You have a table named Reports that contains a column named State. The distribution and quality data metrics for the data m State is shown in the following exhibit. Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the graphic. NOTE: Each correct selection is worth one point.
You have a query that returns the data shown in the following exhibit. You need to configure the query to display the data as shown in the following exhibit. Which step should you use in the query?
HOTSPOT You need to create a measure that will return the percentage of late orders. How should you complete the DAX expression? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.
You need to create the required relationship for the executive's visual. What should you do before you can create the relationship?
DRAG DROP You have a Microsoft Power BI data model that contains three tables named Sales, Product, and Date. The Sales table has an existing measure named [Total Sales] that sums the total sales from the Sales table. You need to write a calculation that returns the percentage of total sales that a selected ProductCategoryName value represents. The calculation must respect any slicers on ProductCategoryName and must show the percentage of visible total sales. For example, if there are four ProductCategoryName values, and a user filters one out, a table showing ProductCategoryName and the calculation must sum up to 100 percent. How should you complete the calculation? To answer, drag the appropriate values to the correct targets. Each value may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content. NOTE: Each correct selection is worth one point.
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 report that imports a date table and a sales table from an Azure SQL database data source. The sales table has the following date foreign keys: * Due Date * Order Date * Delivery Date You need to support the analysis of sales over time based on all three dates at the same time. Solution; You create measures that use the uSEREIATIOHSHIP DAX function to filter sales on the inactive relationships between the sales table and the date table. Does this meet the goal?
You have a Power Bl report that contains a page. The page contains the following: • A shape named Shape 1 • A card named Sales Summary • A clustered bar chart named Sales by Region You need to ensure that Sales Summary renders on top of Shape 1. What should you modify?

Question 162 - PL-300 discussion

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HOTSPOT

You are creating a Microsoft Power BI data model that has the tables shown in the following table.

The Products table is related to the ProductCategory table through the ProductCategoryID column.

You need to ensure that you can analyze sales by product category.

How should you configure the relationships from Products to ProductCategory? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.


Question 162
Correct answer: Question 162

Explanation:

Box 1: One-to-many

Box 2: Both

For One-to-many relationships, the cross filter direction is always from the "one" side, and optionally from the "many" side (bi-directional). Note:

Reference:

https://docs.microsoft.com/en-us/power-bi/transform-model/desktop-relationships-understand

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asked 05/10/2024
Nick Sheremet
24 questions
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