70-778 무료 덤프문제 온라인 액세스

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.
Start of repeated scenario
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 StoreJD column. This is the only relationship between the tables.
You plan to use Power B! Desktop to create an analytics solution for the data.
End of repeated scenario.
You need to create a chart that displays a sum of Order[Order_amount] by month for the Order_ship_date column and the Order_date column.
How should you model the data?

• A.Create a one-to-many relationship from Date[Date_ID] to Order[Order_date] and another relationship from Date[Date_ID] to Monthly_returns[Date_IDJ.
• B.Add a second Date table named Ship_date to the model. Create a one-to-many relationship from Date[Date_ID] to Order [Order_date] and a one-to-many relationship from Ship_date[Date_ID] to Order[Order_ship_dateJ.
• C.Create a one-to-many relationship from Date[Date_ID] to Order[Order_date] and another relationship from Date[Date_ID] to Order[Order_ship_date].
• D.Add a second Date table named Ship_date to the model. Create a many-to-many relationship from Date[Date_ID] to Order [Order_date] and a many-to-many relationship from Ship_date[DateJD] to Order[Order_ship_date].

You have a Power BI report that is configured to use row-level security (RLS).
You have the following roles:
* A manager role that limits managers to see only the sales data from the stores they manage.
* A region role that limits users to see only the data from their respective region You plan to use Power BU Embedded to embed the report into an application. The application will authenticate the users.
You need to ensure that RLS is enforced when accessing the embedded report.
What should you do?

• A.From dev.powerbi.com/apps, register the new application and enable the Read All Groups API access.
• B.In the access token for the application, include the report URL and the Microsoft Azure Active Directory Domain name.
• C.From dev.powerbi.com/apps, register the new application and enable the Read All Reports API access.
• D.In the access token for the application, include the user name and the role name.

You have a table that contains a column named Phone. The following is a sample of the data in the Phone column.
You need to add a new column that contains the data in the format of nnn-nnn-nnnn.
How should you complete the Query Editor formula? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

정답:

Explanation

References:
https://docs.microsoft.com/en-us/powerquery-m/text-replace
https://docs.microsoft.com/en-us/powerquery-m/text-end

Note: This question is a 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 query for a table named Sales. Sales has a column named CustomerID. The Data type of CustomerID is Whole Number.
You refresh the data and find several errors. You discover that new entries in the Sales table contain nonnumeric values.
You need to ensure that nonnumeric values in the CustomerID column are set to 0.
Solution: From Query Editor, select the CustomerID column and click Replace Errors.
Does this meet the goal?

• A.Yes
• B.No

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 exactly the same in each question in this series.
Start of repeated scenario.
You have a Microsoft SQL Server database that has the tables shown in the Database Diagram exhibit. (Click the Exhibit button.)

You plan to develop a Power BI model as shown in the Power BI Model exhibit. (Click the Exhibit button.)

You plan to use Power BI to import data from 2013 to 2015.
Product Subcategory[Subcategory] contains NULL values.
End of Repeated Scenario.
You implement the Power BI model.
You plan to add a table named Date to the model. The table will have columns for the date, year, month, and end of the last month, and will include data from January 1, 2013 to December 31, 2015.
The Date table and the Sales table will have a relationship.
Which DAX functions should you use to create the columns?

• A.CALENDAR, YEAR, MONTH, and ENDOFMONTH
• B.CALENDARAUTO, YEAR, MONTH, and EOMONTH
• C.CALENDAR, YEAR, MONTH, and EOMONTH
• D.CALENDARAUTO, YEAR, MONTH, and ENDOFMONTH