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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?
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DRAG DROP You have a Microsoft Excel spreadsheet that contains the data shown in the following table. You plan to build a data model for a Power Bl report. You need to prepare the data so that it is available to the model in the format shown in the following table. Which three actions should you perform in sequence in Power Query Editor? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
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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?

Question 205 - PL-300 discussion

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You have a Power Bi report for the procurement department. The report contains data from the following tables.

There is a one-to-many relationship from Suppliers to Lineitems that uses the ID and Supplier ID columns. The report contains the visuals shown in the following table.

You need to minimize the size of the dataset without affecting the visuals. What should you do?

A.

Remove the rows from Lineitems where LineItems[invoice Date] is before the beginning of last month

Answers
A.

Remove the rows from Lineitems where LineItems[invoice Date] is before the beginning of last month

B.

Merge Suppliers and Uneltems.

Answers
B.

Merge Suppliers and Uneltems.

C.

Group Lineltems by Lineitems[ invoice id) and Lineitems[invoice Date) with a sum of Lineitems(price).

Answers
C.

Group Lineltems by Lineitems[ invoice id) and Lineitems[invoice Date) with a sum of Lineitems(price).

D.

Remove the Lineitems[Description] column.

Answers
D.

Remove the Lineitems[Description] column.

Suggested answer: D
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asked 05/10/2024
Andreas Krieger
34 questions
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