DP-500Free trial

DRAG DROP

You have a dataset that is populated from a list of business categories in a source database. The list of categories changes over time.

You use Power BI Report Builder to create a paginated report. The report has a report parameter named BusinessCategory.

You need to modify BusinessCategory to ensure that when the report opens, a drop-down list displays all the business categories, and all the business categories are selected.

How should you configure BusinessCategory? To answer, drag the appropriate options to the correct settings. Each option 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.

You have a Power BI tenant.

You need to ensure that all reports use a consistent set of colors and fonts. The solution must ensure that the colors and fonts can be applied to existing reports.

What should you create?

You need to use Power BI to ingest data from an API. The API requires that an API key be passed in the headers of the request.

Which type of authentication 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 question, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.

From Power Query Editor, you profile the data shown in the following exhibit.

The IoT GUID and IoT ID columns are unique to each row in the query.

You need to analyze IoT events by the hour and day of the year. The solution must improve dataset performance.

Solution: You change the IoT DateTime column to the date data 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 question, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.

From Power Query Editor, you profile the data shown in the following exhibit.

The IoT GUID and IoT ID columns are unique to each row in the query.

You need to analyze IoT events by the hour and day of the year. The solution must improve dataset performance.

Solution: You remove the IoT ID column and retain the IoT GUID column.

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 question, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.

From Power Query Editor, you profile the data shown in the following exhibit.

The IoT GUID and IoT ID columns are unique to each row in the query.

You need to analyze IoT events by the hour and day of the year. The solution must improve dataset performance.

Solution: You split the IoT DateTime column into a column named Date and a column named Time.

Does this meet the goal?

HOTSPOT

You have a Power BI tenant that uses a primary domain named fabrikam.com and contains a Power BI Premium workspace named Workspace1. Workspace1 contains a dataset named DS1. DS1 is an imported model that has one data source.

You have a guest user named user1@contoso.com that is assigned the Contributor role for Workspace1.

You need to ensure that User1 can connect to the XMLA endpoint of DS1.

How should you complete the URL of the XMLA connection? To answer, select the appropriate options in the answer area.

NOTE: Each correct selection is worth one point.

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.

Overview -

Existing environment -
Litware, Inc. is a retail company that sells outdoor recreational goods and accessories. The company sells goods both online and its stores located in six countries.

Azure Resources -
Litware has the following Azure resources:
An Azure Synapse Analytics workspace named synapseworkspace1
An Azure Data Lake Storage Gen2 account named datalake1 that is associated with synapseworkspace1
A Synapse Analytics dedicated SQL pool named SQLDW

Dedicated SQL Pool -
SQLDW contains a dimensional model that contains the following tables.

SQLDW contains the following additional tables.

SQLDW contains a view named dbo.CustomerPurchases that creates a distinct list of values from dbo.Customer [customerID], dbo.Customer [CustomerEmail], dbo.Product [ProductID] and dbo.Product [ProductName].
The sales data in SQLDW is updated every 30 minutes. Records in dbo.SalesTransactions are updated in SQLDW up to three days after being created. The records do NOT change after three days.

Power BI -
Litware has a new Power BI tenant that contains an empty workspace named Sales Analytics.
All users have Power BI Premium per user licenses.
IT data analytics are workspace administrators. The IT data analysts will create datasets and reports.
A single imported dataset will be created to support the company’s sales analytics goals. The dataset will be refreshed every 30 minutes.

Requirements -

Analytics Goals -
Litware identifies the following analytics goals:
Provide historical reporting of sales by product and channel over time.
Allow sales managers to perform ad hoc sales reporting with minimal effort.
Perform market basket analysis to understand which products are commonly purchased in the same transaction.
Identify which customers should receive promotional emails based on their likelihood of purchasing promoted products.
Litware plans to monitor the adoption of Power BI reports over time. The company wants custom Power BI usage reporting that includes the percent change of users that view reports in the Sales Analytics workspace each month.

Security Requirements -
Litware identifies the following security requirements for the analytics environment:
All the users in the sales department and the marketing department must be able to see Power BI reports that contain market basket analysis and data about which customers are likely to purchase a product.
Customer contact data in SQLDW and the Power BI dataset must be labeled as Sensitive. Records must be kept of any users that use the sensitive data.
Sales associates must be prevented from seeing the CustomerEmail column in Power BI reports.
Sales managers must be prevented from modifying reports created by other users.
Development Process Requirements
Litware identifies the following development process requirements:
SQLDW and datalake1 will act as the development environment. Once feature development is complete, all entities in synapseworkspace1 will be promoted to a test workspace, and then to a production workspace.
Power BI content must be deployed to test and production by using deployment pipelines.
All SQL scripts must be stored in Azure Repos.
The IT data analysts prefer to build Power BI reports in Synapse Studio.
How should you configure the Power BI dataset refresh for the dbo.SalesTransactions table?

You have a Power BI report hosted on the Power BI service. The report displays expenses by department for department managers and contains a line chart that shows expenses by month.

You need to ensure that users can choose between viewing the report as a line chart or a column chart. The solution must minimize development and maintenance effort.

What should you do?

You have a PostgreSQL database named db1.

You have a group of data analysts that will create Power BI datasets. Each analyst will use data from a different schema in db1.

You need to simplify the process for the analysts to initially connect to db1 when using Power BI Desktop.

Which type of file should you use?

HOTSPOT

You are building a financial report by using Power BI.

You have a table named financials that contains two columns named Date and Sales.

You need to create a DAX measure that calculates the relative change in sales compared to the previous quarter.

How should you complete the measure? To answer, select the appropriate options m the answer area.

NOTE: Each correct selection is worth one point.

You are using a Python notebook in an Apache Spark pool in Azure Synapse Analytics.

You need to present the data distribution statistics from a DataFrame in a tabular view.

Which method should you invoke on the DataFrame?