Get Full Version of the Exam
You need to create a dashboard in the Power BI service to display data from a PubNub source. What should you do?
Add a Microsoft SQL Server Analysis Services (SSAS) data source that uses Connect live and create a report. Pin the report to a dashboard.
Create an app workspace and publish the workspace to a dashboard.
Add a Microsoft Azure SQL database data source that uses DirectQuery and create a report. Pin the report to a dashboard.
Add a custom streaming data tile to a dashboard.
You plan to deploy a Power BI app workspace that will be viewed by 10,000 users. You need to ensure that dashboard data can be updated every 30 minutes.
What should you do?
Assign each user a Power BI Pro license.
Store the dataset in Microsoft Azure Storage that uses the Premium storage tier.
Create the app workspace by using an account that is assigned a Power BI Pro license.
Configure the app workspace for Premium capacity.
From Power BI Desktop, you create a query that imports the following table.
You need to configure the table to appear as shown in the following table.
What should you do?
From the Extract menu, click Last Characters.
From the Extract menu, click Text After Delimiter.
From the Format menu, click Trim.
From the Split Column menu, click BY Delimiter.
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?
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 StoreJD column. This is the only relationship between the tables.
You plan to use Power Bl Desktop to create an analytics solution for the data.
You are modeling the data in Power Bl.
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.
In the Power Bl model, create a calculated table.
From Query Editor, create a custom column that uses a custom column formula.
From Query Editor, add a select statement that uses a where clause to the source definition.
From Query Editor, create a column by using Column From Examples.
From Query Editor, filter the table by Order_date.
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.
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?
Product Ranking= RANKX (Product, [SalesAmount], , DESC, Skip)
Product Ranking= RANKX (ALL, (`Product#39;), [SalesAmount], , DESC, Dense)
Product Ranking= RANKX (ALL, (`Product#39;), [SalesAmount], , DESC, Skip)
Product Ranking= RANKX (ALL (`Product#39;), [SalesAmount], , Asc, Dense
You are importing sales data from a Microsoft Excel file named Sales.xlsx into Power BI Desktop. You need to create a bar chart showing the total sales amount by region.
When you create the bar chart, the regions appear as expected, but the sales amount value displays the count of sales amount instead of the sum of sales amount each region.
You need to modify the query to ensure that the data appears correctly. What should you do?
Delete the query, import the data into Microsoft SQL Server, and then import the data from SQL Server.
In Query Editor, add a calculated column that totals the sales amount column.
Change the Data Type of sales amount column to Numeric.
Refresh the data model.
You have a sales report in an app workspace. The report displays a map of sales by location and a bar chart of sales by year. The report has a slicer to filter the data by year.
You need to create a dashboard that contains visualizations. The solution must ensure that you can use the slicer to filter the data by year.
What should you do?
Pin each visualization to the dashboard, and then add a web content tile.
Add a page level filter, and then pin each visualization to the dashboard.
Publish the app workspace.
Pin the report as a live page.
You have a Power Bl Desktop project that has the model shown in the exhibit. (Click the Exhibit tab.)
Customer Count is a measure that uses the countRows function to calculate the number of customers.
You create a table visualization that displays ProductID, Product, and Customer Count.
When you view the table, you discover that Customer Count always displays the total number of customers instead of the number of customers who purchased the product.
You need to ensure that the table visualization displays the number of customers who purchased each product.
What should you do?
Modify the Customer Count measure to use the count function.
Modify the table relationship between the Customers table and the Sales table to use a Cross filter direction of Both.
Modify the table relationship between the Products table and the Sales table to use a Cross filter direction of Both
Modify the Customer Count measure to use the countx function.
You have the following tables.
There is a many-to-one relationship from Subscriber to Date that uses Subscriber[StartDate] and Date[Date]. The Cross filter direction of the relationship is set to Single.
You plan to create a column chart that displays the following two measures:
Count of SubscriberID by Month based on the StartDate Count of SubscriberID by Month based on the EndDate
What should you do before you create the measures?
Create an active one-to-one relationship from Subscriber[StartDate] to Date[Date].
Change the Cross filter direction of the active relationship to Both.
Change the active relationship for many-to-one.
Create an inactive many-to-one relationship from Subscriber[StartDate] to Date[Date].