Note: This question is part of a series of questions that use the same scenario. For your convenience, the scenario is repeated in each question. Each question presents a different goal and answer choices, but the text of the scenario is the same in each question in this series.
You have a Microsoft SQL Server database that contains the following tables.
The following columns contain date information:
– Date[Month] in the mmyyyy format
– Date[Date_ID] in the ddmmyyyy format
– Date[Date_name] in the mm/dd/yyyy format
– Monthly_returns[Month_ID] in the mmyyyy format
The Order table contains more than one million rows.
The Store table has a relationship to the Monthly_returns table on the Store_ID column. This is the only relationship between the tables.
You plan to use Power BI Desktop to create an analytics solution for the data.
You need to create a relationship between the Monthly_returns table and Date[Date_ID].
What should you do before you create the relationship?
A . In the Date table, create a new calculated column named MonthJD that uses the yyyydd format.
B . In the Monthly_returns table, create a new calculated column named DateJD that uses the ddmmyyyy format.
C . To the Order table, add a calculated column that uses the RELATED(Monthly_returns[Month_ID]) DAX formula.
D . To the Date table, add a calculated column that uses the RE LATE D(Monthly_ret urns [MonthJD]) DAX formula.
Answer: B
Explanation:
References:
https://docs.microsoft.com/en-us/power-bi/de sktop-create-and-manage-relationships
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