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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?
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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 119 - PL-300 discussion

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You have sales data in a star schema that contains four tables named Sales, Customer, Date, and Product. The Sales table contains purchase and ship dates. Most often, you will use the purchase date to analyze the data, but you will analyze the data by both dates independently and together. You need to design an imported dataset to support the analysis. The solution must minimize the model size and the number of queries against the data source. Which data modeling design should you use?

A.

Use the Auto Date/Time functionality in Microsoft Power Bl and do NOT import the Date table.

Answers
A.

Use the Auto Date/Time functionality in Microsoft Power Bl and do NOT import the Date table.

B.

Duplicate the Date query in Power Query and create active relationships between Sales and both Date tables in the modeling view.

Answers
B.

Duplicate the Date query in Power Query and create active relationships between Sales and both Date tables in the modeling view.

C.

On the Date table, use a reference query in Power Query and create active relationships between Sales and both Date tables in the modeling view.

Answers
C.

On the Date table, use a reference query in Power Query and create active relationships between Sales and both Date tables in the modeling view.

D.

Import the Date table twice in Power Query and create active relationships between Sales and both Date tables in the modeling view.

Answers
D.

Import the Date table twice in Power Query and create active relationships between Sales and both Date tables in the modeling view.

Suggested answer: D

Explanation:

Microsoft recommends defining active relationships whenever possible. They widen the scope and potential of how your model can be used by report authors, and users working with Q&A. Refactoring methodology (example): Here's a methodology to refactor a model from a single roleplaying dimension-type table, to a design with one table per role. Remove any inactive relationships.

Consider renaming the role-playing dimension-type table to better describe its role. In the example, the Airport table is related to the ArrivalAirport column of the Flight table, so it's renamed as Arrival Airport. Create a copy of the role-playing table, providing it with a name that reflects its role. If it's an Import table, we recommend defining a calculated table. If it's a DirectQuery table, you can duplicate the Power Query query. Only one relationship can be active.

Note: If you query two or more tables at the same time, when the data is loaded, Power BI Desktop attempts to find and create relationships for you. The relationship options Cardinality, Cross filter direction, and Make this relationship active are automatically set.

Reference:

https://docs.microsoft.com/en-us/power-bi/transform-model/desktop-create-and-managerelationships

https://docs.microsoft.com/en-us/power-bi/guidance/relationships-active-inactive

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asked 05/10/2024
Arnold Bronson TCHOFFO
44 questions
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