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Microsoft

70-778 · Question #133

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…

The correct answer is B. From Query Editor, add a SELECT statement that uses a WHERE clause to the source definition. D. From Query Editor, filter the table by Order_date. See the full explanation below for the reasoning.

Question

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 are modeling the data in Power BI. You need to import only a sample of the data from the Order table. What are two possible ways to achieve the goal? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point.

Options

  • AFrom Query Editor, create a custom column that uses a custom column formula.
  • BFrom Query Editor, add a SELECT statement that uses a WHERE clause to the source definition.
  • CIn the Power BI model, create a calculated table.
  • DFrom Query Editor, filter the table by Order_date.
  • EFrom Query Editor, create a column by using Column From Examples.

How the community answered

(42 responses)
  • A
    5% (2)
  • B
    83% (35)
  • C
    2% (1)
  • E
    10% (4)

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