PowerBi - Part II

You create a Power BI dataset that contains the table shown in the following exhibit. You need to make the table available as an organizational data type in Microsoft Excel.

How should you configure the properties of the table? To answer, select the appropriate options in the answer area.

NOTE: Each correct selection is worth one point.

• Cost Center/ID/Yes

• Headcount/Name/No

• ID/ Headcount/ Yes

• Name/ Cost center/No

You have the Power BI model shown in the following exhibit. A manager can represent only a single country.

You need to use row-level security (RLS) to meet the following requirements:

• The managers must only see the data of their respective country.

• The number of RLS roles must be minimized.

Which two actions should you perform? Each correct answer presents a complete solution.

• Create a single role that filters Country[Manager_Email] by using the USERNAME DAX function.

• 1. Create a single role that filters Country[Manager_Email] by using the USEROBJECTID DAX function.

• 1. Create one role for each country.

• For the relationship between Purchase Detail and Purchase, select Apply security filter in both directions.

• For the relationship between Purchase and Purchase Detail, change the Cross filter direction to Single.

You have a Power BI imported dataset that contains the data model shown in the following exhibit.

Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the graphic.

• Cardinality/denormalized table

• Assume Referential Integrity/Star schema

• Cardinality/snowflake schema

• Cross filter direction/ denormalized table

You have a Power BI model that contains a table named Sales and a related date table. Sales contains a measure named Total Sales.

You need to create a measure that calculates the total sales from the equivalent month of the previous year.

How should you complete the calculation? To answer, select the appropriate options in the answer area.

• EEVALUATE/SAMEPERIODLASTYEAR/'Date' [Date]

• SUMX/DATESSMTD/[Date]

• CALCULATE/PARALLELPERIOD/'DATE' [Month]

• SUM/TOTALMTD/'Date' [Date]

You plan to create a report that will display sales data from the last year for multiple regions.

You need to restrict access to individual rows of the data on a per region-basis by using roles.

Which four actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

• Publish the report/ Add a filter to the report/From the Manage roles window, select Create / Add a filter to the report

• Assign Users to the role/From the Manage roles window, select Create / Add a filter to the report/From the Manage roles window, select Create

• From the Manage roles window, select Create/ Add a filter to the report/From the Manage roles window, select Create /Publish the report

• Import data into your Power BI Desktop/From the Manage roles window, select Create/Assign Users to the role/Publish the report

Report developers and users provide feedback that the data model is too complex. The model contains the following tables.

The model has the following relationships:

• There is a one-to-one relationship between Sales_Region and Region_Manager.

• There are more records in Manager than in Region_Manager, but every record in Region_Manager has a corresponding record in Manager.

• There are more records in Sales_Manager than in Sales_Region, but every record in Sales_Region has a corresponding record in Sales_Manager.

You need to denormalize the model into a single table. Only managers who are associated to a sales region must be included in the reports.

Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

• Merge [Sales_region] and [Region_Manager] by using a right join as new query named [Sales_region_and_Region_Manager]

  Merge [Sales_Region] and [Region_Manager] by using inner join.

  Merge [Region_Manager] and [Manager] by using inner join.

• Merge [Sales_Region] and [Sales_Manager] by using an inner join.

  
  Merge [Region_Manager] and [Manager] by using inner join.

  Merge [Sales_region] and [Region_Manager] by using a right join as new query named [Sales_region_and_Region_Manager]

  
  

  
  

• Merge [Region_Manager] and [Manager] by using inner join.

  Merge [Sales_Region] and [Region_Manager] by using inner join.

  Merge [Sales_Managers] and [Sales_Region] by using a left join

• Merge [Sales_Region] and [Region_Manager] by using inner join.

  
  Merge [Sales_Managers] and [Sales_Region] by using a left join

  Merge [Sales_region] and [Region_Manager] by using a right join as new query named [Sales_region_and_Region_Manager]

You have a Microsoft Power BI report. The size of PBIX file is 550 MB. The report is accessed by using an App workspace in shared capacity of powerbi.com.

The report uses an imported dataset that contains one fact table. The fact table contains 12 million rows. The dataset is scheduled to refresh twice a day at 08:00 and 17:00.

The report is a single page that contains 15 AppSource visuals and 10 default visuals. Users say that the report is slow to load the visuals when they access and interact with the report.

You need to recommend a solution to improve the performance of the report. What should you recommend?

• Change any DAX measures to use iterator functions.

  
  

• Enable visual interactions.

• Replace the default visuals with AppSource visuals.

• Split the visuals onto multiple pages.

You are creating a Microsoft Power BI imported data model to perform basket analysis. The goal of the analysis is to identify which products are usually bought together in the same transaction across and within sales territories.

You import a fact table named Sales as shown in the exhibit. (Click the Exhibit tab.) The related dimension tables are imported into the model.

Sales contains the data shown in the following table. You are evaluating how to optimize the model.

For each of the following statements, select Yes if the statement is true. Otherwise, select No.

• Yes/No/No

• Yes/Yes/No

• No/Yes/No

• No/No/Yes

You have a Microsoft Power BI data model that contains three tables named Orders, Date, and City. There is a one-to-many relationship between Date and

Orders and between City and Orders.

The model contains two row-level security (RLS) roles named Role1 and Role2. Role1 contains the following filter.

City[State Province] = "Kentucky" Role2 contains the following filter. Date[Calendar Year] = 2020

If a user is a member of both Role1 and Role2, what data will they see in a report that uses the model?

• The user will see data for which the State Province value is Kentucky or where the Calendar Year is 2020.

• The user will receive an error and will not be able to see the data in the report.

•  The user will only see data for which the State Province value is Kentucky.

• The user will only see data for which the State Province value is Kentucky and the Calendar Year is 2020.

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 are modeling data by using Microsoft Power BI. Part of the data model is a large Microsoft SQL Server table named Order that has more than 100 million records.

During the development process, you need to import a sample of the data from the Order table.

Solution: From Power Query Editor, you import the table and then add a filter step to the query.

Does this meet the goal?

• Yes

• No