Microsoft Power BI Data Analyst v1.0

Case Study -

This is a case study. Case studies are not timed separately. You can use as much exam time as you would like to complete each case. However, there may be additional case studies and sections on this exam. You must manage your time to ensure that you are able to complete all questions included on this exam in the time provided.

To answer the questions included in a case study, you will need to reference information that is provided in the case study. Case studies might contain exhibits and other resources that provide more information about the scenario that is described in the case study. Each question is independent of the other questions in this case study.

At the end of this case study, a review screen will appear. This screen allows you to review your answers and to make changes before you move to the next section of the exam. After you begin a new section, you cannot return to this section.


To start the case study -
To display the first question in this case study, click the Next button. Use the buttons in the left pane to explore the content of the case study before you answer the questions. Clicking these buttons displays information such as business requirements, existing environment and problem statements. If the case study has an All Information tab, note that the information displayed is identical to the information displayed on the subsequent tabs. When you are ready to answer a question, click the Question button to return to the question.


General Overview -

Northwind Traders is a specialty food import company.

The company recently implemented Power BI to better understand its top customers, products, and suppliers.


Business Issues -

The sales department relies on the IT department to generate reports in Microsoft SQL Server Reporting Services (SSRS). The IT department takes too long to generate the reports and often misunderstands the report requirements.

Existing Environment. Data Sources

Northwind Traders uses the data sources shown in the following table.



Source2 is exported daily from a third-party system and stored in Microsoft SharePoint Online.

Existing Environment. Customer Worksheet

Source2 contains a single worksheet named Customer Details. The first 11 rows of the worksheet are shown in the following table.



All the fields in Source2 are mandatory.

The Address column in Customer Details is the billing address, which can differ from the shipping address.

Existing Environment. Azure SQL Database

Source1 contains the following tables:

• Orders
• Products
• Suppliers
• Categories
• Order Details
• Sales Employees

The Orders table contains the following columns.



The Order Details table contains the following columns.



The address in the Orders table is the shipping address, which can differ from the billing address.

The Products table contains the following columns.



The Categories table contains the following columns.



The Suppliers table contains the following columns.



The Sales Employees table contains the following columns.



Each employee in the Sales Employees table is assigned to one sales region. Multiple employees can be assigned to each region.

Requirements. Report Requirements

Northwind Traders requires the following reports:

• Top Products
• Top Customers
• On-Time Shipping

The Top Customers report will show the top 20 customers based on the highest sales amounts in a selected order month or quarter, product category, and sales region.

The Top Products report will show the top 20 products based on the highest sales amounts sold in a selected order month or quarter, sales region, and product category. The report must also show which suppliers provide the top products.

The On-Time Shipping report will show the following metrics for a selected shipping month or quarter:

• The percentage of orders that were shipped late by country and shipping region
• Customers that had multiple late shipments during the last quarter

Northwind Traders defines late orders as those shipped after the required shipping date.

The warehouse shipping department must be notified if the percentage of late orders within the current month exceeds 5%.

The reports must show historical data for the current calendar year and the last three calendar years.

Requirements. Technical Requirements

Northwind Traders identifies the following technical requirements:

• A single dataset must support all three reports.
• The reports must be stored in a single Power BI workspace.
• Report data must be current as of 7 AM Pacific Time each day.
• The reports must provide fast response times when users interact with a visualization.
• The data model must minimize the size of the dataset as much as possible, while meeting the report requirements and the technical requirements.

Requirements. Security Requirements

Access to the reports must be granted to Azure Active Directory (Azure AD) security groups only. An Azure AD security group exists for each department.

The sales department must be able to perform the following tasks in Power BI:

• Create, edit, and delete content in the reports.
• Manage permissions for workspaces, datasets, and reports.
• Publish, unpublish, update, and change the permissions for an app.
• Assign Azure AD groups role-based access to the reports workspace.

Users in the sales department must be able to access only the data of the sales region to which they are assigned in the Sales Employees table.

Power BI has the following row-level security (RLS) Table filter DAX expression for the Sales Employees table.

[EmailAddress] = USERNAME()

RLS will be applied only to the sales department users. Users in all other departments must be able to view all the data.


You need to create the semantic model.

Which storage mode should you use for the tables in the semantic model?

HOTSPOT
-

You have a Power BI semantic model that contains the data sources shown in the following table.



You need to configure the privacy level s of the data sources.

What should you configure for each data source? To answer, select the appropriate options in the answer area.

NOTE: Each correct answer is worth one point.

You plan to use Power BI Desktop to create a bug tracking dashboard that will pull data from Analytics in Azure DevOps.

From Power BI Desktop, you need to configure a data connector to authenticate to Azure DevOps. The solution must meet the following requirements:

• Use Analytics views.
• Filter data from the cloud.

Which connector should you use?

HOTSPOT
-

You use Power Query Editor to preview the data shown in the following exhibit.



You confirm that the data will always start on row 3, and row 3 will always contain the column names.

How should you shape the query? 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 data source that contains a column. The column contains case sensitive data.

You have a Power BI semantic model in DirectQuery mode.

You connect to the model and discover that it contains undefined values and errors.

You need to resolve the issue.

Solution: You implicitly convert the values into the required type.

Does this meet the goal?

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 data source that contains a column. The column contains case sensitive data.

You have a Power BI semantic model in DirectQuery mode.

You connect to the model and discover that it contains undefined values and errors.

You need to resolve the issue.

Solution: You change the semantic model mode.

Does this meet the goal?

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 data source that contains a column. The column contains case sensitive data.

You have a Power BI semantic model in DirectQuery mode.

You connect to the model and discover that it contains undefined values and errors.

You need to resolve the issue.

Solution: You normalize casing in the source query or Power Query Editor.

Does this meet the goal?

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 data source that contains a column. The column contains case sensitive data.

You have a Power BI semantic model in DirectQuery mode.

You connect to the model and discover that it contains undefined values and errors.

You need to resolve the issue.

Solution: You add an index key and normalize casing in the data source.

Does this meet the goal?

You have a Microsoft Excel file in a Microsoft OneDrive folder.

The file must be imported to a Power BI semantic model.

You need to ensure that the semantic model can be refreshed in PowerBi.com.

Which two connectors can you use to connect to the file? Each correct answer presents a complete solution.

NOTE: Each correct selection is worth one point.

You use Power Query Editor to preview a column named Date as shown in the following exhibit.



You need to change the Date column to contain only the year. The solution must minimize administrative effort.

What should you do?

HOTSPOT
-

You are designing the data model for a Power BI semantic model.

You have the following tables in the star schema.



Which table is the fact table of the star schema, and which column in the Patient table is the surrogate key of the star schema? To answer, select the appropriate options in the answer area.

NOTE: Each correct selection is worth one point.

You use Power BI Desktop to import two tables named Customer and Contacts.

The Customer table contains the following columns:

• Customer_Name
• Customer ID
• Website

The Contacts table contains the following columns:

• Contact ID
• Contact Email
• Contact Name
• Customer Name

A web-based contact form is used to fill the Contacts table. The data is not sanitized.

You need to create a merge for the Customer and Contacts tables.

What should you do?

HOTSPOT
-

You are using Microsoft Power BI Desktop to profile data in Power Query Editor.

Table data is displayed as 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.

NOTE: Each correct selection is worth one point.

HOTSPOT
-

You have a Power BI semantic model named Model1 that contains a table named Sales.

Sales contains 10 million records and the following data.



The related report displays the weekly sales per region.

You need to minimize the size of Model1.

How should you modify the CustomerID column and the PurchaseDateTime column? To answer, select the appropriate options in the answer area.

NOTE: Each correct selection is worth one point.