Microsoft 070-778 Actual Free Exam Questions & Community Discussion

Note: This question is 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 Power BI model that contains two tables named Sales and Date. Sales contains four columns named TotalCost, DueDate, ShipDate, and OrderDate. Date contains one column named Date.
The tables have the following relationships:
The active relationship is on Sales[DueDate].
You need to create measures to count the number of orders by [ShipDate] and the orders by [OrderDate]. You must meet the goal without duplicating data or loading additional data.
Solution: You create a calculated table. You create a measure that uses the new table.
Does this meet the goal?

You have a Power BI model that has the following tables:
* Sales (Order_id, Order_Date, Product_id, Salesperson_id, Sales_Amount)
* Salesperson (Salesperson_id, Salesperson_name, address)
* Product (Product_id, Product_Name)
You need to create the following relationships:
* Sales to Product
* Sales to Sales person
You need to ensure that you can create a report that displays the count of products sold by each salesperson.
How should you configure the relationships? To answer, drag the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

You plan to use Power BI Embedded to deliver reports in a web application.
You need to ensure that the reports display live data.
Which data source you should use?

You have a Power BI model that contains a table named Sales. Sales has the following three measures:
* A measure named Total Sales Last Year that displays the sales from the previous calendar year. The current value is 32.89 million.
* A measure named Total Sales This Year that displays the sales from the current calendar year. The current value is 11.69 million.
* A measure named Total Sales Difference that uses a DAX formula of Sales[Last Year] - Sales[This Year].
You need to create the following visualization.

How should you configure the visualization? To answer, drag the appropriate measures to the correct fields.
Each value 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.

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 has the tables shown in the Database Diagram exhibit. (Click the Exhibit.)

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

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 need to add a measure to rank total sales by product. The results must appear as shown in the following table.

Which DAX formula should you use?

Note: This question is 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 CustomerlD. The Data Type of CustomerlD 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 CustomerlD column are set to 0.
Solution: From Query Editor, select the CustomerlD column. Click Replace Errors... and enter a value of 0 Does this meet the goal?

You have the following table named Location.

The GeoCode column represents the country where each customer is located.
You create a map visualization as shown in the exhibit. (Click the Exhibit tab.)

You need to ensure that the map displays the country locations.
What should you do?

You plan to join a fact table named ActivityLog to a Date dimension named ActivityDate. The date value in ActivityLog is a datetime column named ActivityStart The date value in AdivityDate is a number column named DatelD. DatelD is in the YYYYMMDD format.
What should you do in the model before you create the relationship?

You need to create a dashboard in the Power BI service to display data from a PubNub source.
What should you do?

You have two Microsoft SQL Server database servers named SQLProd and SQLDev. SQLDev contains the same tables as SQLProd, but only a subset of the data in SQLProd.
You create a new Power BI Desktop model that uses 120 tables from SQLDev.
You plan to publish the Power BI file to the Power BI service.
You need to connect the model to the tables in SQLProd. The solution must minimize administrative effort.
What should you do from Query Editor before you publish the model?

You have a Power BI model that has the following tables:
* Product (Product_id, Product_Name)
* Sales (Order_id, Order_Date, Product_id, Salesperson_id, Sales_Amount)
* Salesperson (Salesperson_id, Salesperson_name, address)
You plan to create the following measure.
Measure1 = DISTINCTCOUNT(Sales[ProductID])
You need to create the following relationships:
* Sales to Product
* Sales to Salesperson
The solution must ensure that you can use Measure1 to display the count of products sold by each salesperson.
How should you configure the relationships? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Note: This question is 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 CustomerlD. The Data Type of CustomerlD 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 CustomerlD column are set to 0.
Solution: From Query Editor, open Advanced Editor and add the following query step.
#"Replaced Errors" - Table.ReplaceErrorValues(s"Changed Type", {{"CustomerlD", 0}}) Does this meet the goal?

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?

From Power BI Desktop, you publish an app that contains one dashboard and one report. Q&A is enabled on the dashboard.
In Q&A, a user types the query count of clients and fails to receive any results. The user then types the query count of subscribers and received the expected results.
You need to ensure that the user can use both queries to receive the same results.
Which four actions should you perform in sequence? To answer, move the appropriate actions form the list of actions to the answer area and arrange them in the correct order.