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NEW QUESTION: 1






Answer:
Explanation:
Explanation

References: https://msdn.microsoft.com/en-us/library/ms187956.aspx

NEW QUESTION: 2
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. To the Date table, add a calculated column that uses the RE LATE D(Monthly_ret urns
[MonthJD]) DAX formula.
B. To the Order table, add a calculated column that uses the
RELATED(Monthly_returns[Month_ID]) DAX formula.
C. In the Date table, create a new calculated column named MonthJD that uses the yyyydd format.
D. In the Monthly_returns table, create a new calculated column named DateJD that uses the ddmmyyyy format.
Answer: D
Explanation:
References:
https://docs.microsoft.com/en-us/power-bi/desktop-create-and-manage-relationships

NEW QUESTION: 3






Answer:
Explanation:

Explanation