Shortcuts To 70-778（4 to 13）

Q4. HOTSPOT

Your company plans to use Power BI for 20 users in the sales department. The users will perform the following tasks:

u2711 Access a published Power BI app

u2711 Modify reports in an app workspace

u2711 Share dashboards created in My Workspace

You need to identify which Power BI licenses are required for the tasks. The solution must use the Power BI (free) licenses, whenever possible.

Which license should you identify for each task? To answer, select the appropriate options in the answer area.

NOTE: Each correct selection is worth one point.

Q5. You plan to create a Power BI report. You have the schema model shown in the exhibit. (Click the exhibit).

The model has the following relationships:

u2711 Store the District based on DistrictID

u2711 Sales to Store based on LocationID

u2711 Sales to Date based on PeriodID

u2711 Sales to Item based on ItemID

You configure row-level security (RLS) so that the district managers of the stores only see the sales from the stores they manage.

When the district managers view the sales report, they see Sales by Items for all stores. You need to ensure that the district managers can see Sales by items for the stores they

manage only.

How should you configure the relationship from Sales to Item?

A. Change the Cardinality to One to one (1:1).

B. Change the Cardinality to One to Many (1.*).

C. Select Assume Referential Integrity.

D. Change the Cross filter direction to Both.

Q6. 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

Q7. Note: This question is a part of a series of questions that present 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 contains the following tables.

The following columns contain data information:

u2711 Date[Month] in the mmyyyy format

u2711 Date[Date_ID] in the ddmmyyyy format

u2711 Date[Date_name] in the mm/dd/yyyy format

u2711 Monthly_returns[Month_ID] in the mmyyyy format

The Order table contains more than one million rows.

The Store table has 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. End of repeated scenario.

You are modifying the model to report on the number of order.

You need to calculate the number of orders. What should you do?

A. Create a calculated measure that uses the COUNTA(Order_ID) DAX formula.

B. Create a calculated measure that uses the SUM (Order_ID) DAX formula.

C. Create a calculated column that uses the SUM (Order_ID) DAX formula.

D. Create a calculated column that uses the COUNTA (Order_ID) DAX formula.

Q8. You have the following two queries in Power BI Desktop:

u2711 A query named Query1 that retrieves a table named SMB_Customers from a Microsoft SQL Server database

u2711 A query named Query2 that retrieves a table named Enterprise_Customers from

an Oracle database

Both tables have the same columns.

You need to combine the data from SMB_Customers and Enterprise_Customers. Which command should you use?

A. Combine Files

B. Merge Columns

C. Merge Queries

D. Append Queries

Q9. Note: This question is a part of a series of questions that present 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 contains the following tables.

The following columns contain data information:

u2711 Date[Month] in the mmyyyy format

u2711 Date[Date_ID] in the ddmmyyyy format

u2711 Date[Date_name] in the mm/dd/yyyy format

u2711 Monthly_returns[Month_ID] in the mmyyyy format

The Order table contains more than one million rows.

The Store table has 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. End of repeated scenario.

You plan to create a chart that displays total Order [Order_amount] by Store [Name]. You need to modify the model to ensure that you can create the chart.

Which two actions should you perform? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.

A. To the Order table, add a column that uses the RELATED(u2021Storeu2021 [Store_ID]) DAX formula.

B. Create a relationship between the Order table and the Store table.

C. To the Order table, add a measure that uses the COUNT (u2021Orderu2021[Order_amount]) DAX formula.

D. To the order table, add a measure that uses the SUM (u2021Orderu2021 [Order_amount]) DAX formula.

Q10. HOTSPOT

You have a query that retrieves data from a Microsoft Azure SQL database.

You discover that column named ErrorCode has several values starting with a space character, and a column named SubStatus contains several non-printable characters.

You need to remove all the leading whitespaces from ErrorCode and all the non-printable characters from SubStatus. All other data must be retained.

What should you do on each column? To answer, drag the appropriate tasks to the correct columns. Each task may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.

NOTE: Each correct selection is worth one point.

Q11. You have a workspace that contains 10 dashboards. A dashboard named Sales Data from two datasets.

You discover that users are unable to find data on the dashboard by using natural language queries.

You need to ensure that the users can find data by using natural language queries. What should you do?

A. From the settings of the workspace, modify the Language Settings.

B. From the properties of the dashboard, modify the Q&A settings.

C. From the Sales Data dashboard, modify the dashboard as a Favorite.

D. From the properties of the datasets, modify the Q&A and Cortana settings.

Q12. You have a power BI model that contains the following tables:

u2711 Assets( AssetsID, AssetName, Purchase_DateID, Value)

u2711 Date( DateID, Date, Month, Week, Year)

The tables have relationship. Date is marked as a date table in the Power BI model. You need to create a measure to calculate the percentage that the total assets value

increased since one year ago. Which DAX formula should you use?

A. (sum(Assets[Value])

u2013CALCULATE(sum(Assets[Value]),SAMEPERIODLASTYEAR(u2021Dateu2021[Date])))/CALCULATE

(sum(Assets[Value]),SAMEPERIODLASTYEAR (u2021Dateu2021 [Date]))

B. CALCULATEx(sum(Assets[Value]) DATESYTD (u2021Dateu2021[Date]))/sum(Assets[Value])

C. sum(Assets[Value])-CALCULATE(sum(Assets[Value]),SAMEPERIODLASTYEAR (u2021Dateu2021 [Date]))

D. CALCULATE(sum(Assets[Value]),SAMEPERIODLASTYEAR (u2021Dateu2021

[Date]))/sum(Assets[Value])

Q13. You have a table named Sales. A sample of the data in Sales is shown in the following table.

You created a stacked column chart visualization that displays ProductName by Date. You discover that the axis for the visualization displays all the individual dates.

You need to ensure that the visualization displays ProductName by year and that you can drill down to see ProductName by week and day.

What should you do first?

A. Configure a visual filter for the Date column that uses an advanced filter.

B. Create a new table that has columns for the date, year, week, and day.

C. Create a new hierarchy in the Sales table.

D. Format the virtualization and set the type of the X-Axis to Categorical.