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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: For each date foreign key, you add inactive relationships between the sales table and the date table. Does this meet the goal?
Correct Answer: B
The required outcome is to evaluate whether this proposal meets the goal: For each date foreign key, you add inactive relationships between the sales table and the date table. Select B (No). The proposed action - For each date foreign key, you add inactive relationships between the sales table and the date table - does not satisfy the stated goal. Inactive relationships alone do not affect a calculation; they must be activated in a measure, or separate role-playing dimensions must be used when dates need independent simultaneous filters. Multiple date roles require deliberate relationship design. Active relationships provide the default filter path; inactive relationships can be invoked in a measure, while separate role-playing date dimensions allow simultaneous independent filtering. The current skills outline describes this competency as " Implement role- playing dimensions " . Microsoft Learn reference: https://learn.microsoft.com/en-us/power-bi/guidance/relationships-active-inactive | PL-300 objective: " Implement role-playing dimensions " | Study guide: https://learn.microsoft.com/en-us /credentials/certifications/resources/study-guides/pl-300