Free Online Microsoft DP-500 Practice Test

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 -

General Overview -

Fabrikam, Inc. is a software company that develops educational software for higher education.

Organizational Structure -

Fabrikam has the following business units:

• Finance and Accounting

• Sales and Marketing

• Operations

• Product

The Product business unit contains the following groups:

• User experience designers

• Software engineers

• Product managers

• Testers

The Operations business unit contains an information technology (IT) group. The IT group contains an enterprise analytics team and an information security team.

Existing Environment -

Data Storage -

Fabrikam has three Azure Synapse Analytics workspaces named workspace1prod, workspace1test, and workspace1dev. Each workspace is connected to an Azure Data Lake Storage account and contains a lake database that is accessed by using the built-in serverless SQL pool. The data in the Data Lake Storage accounts is available in the lake databases for analysts from every business unit to query and analyze by using Power BI.

The company imports the following files into the Data Lake Storage accounts:

• User experience data stored as JSON files

• Finance data stored as CSV files

• Sales data stored as CSV files

Reporting -

Fabrikam has a Power BI tenant that contains 30 workspaces in Pro license mode. The data in the workspaces is a mix of Import and DirectQueiy datasets. All reports are interactive.

Fabrikam has three frequently used workspaces as shown in the following table.

The Corporate Data Models workspace contains a dataset named Financial Model that is used by reports in the P&L workspace. Financial Model is maintained by the enterprise analytics team. The Corporate Data Models workspace and the User Experience workspace have corresponding development and test workspaces.

User Problems -

Administrators report an increase in the maintenance of Power BI tenant assets due to analysts in the Finance and Accounting business unit who create new Power BI datasets when the existing datasets already meet their needs.

Analysts in the Product business unit report the following issues:

• Datasets are published to the User Experience workspace, while the data sources reference workspace1test.

• The parsing of user experience data in Power Query is very slow.

The enterprise analytics team identifies two DAX measures in the Financial Model dataset that are consistently slow to execute. The team must identify all the reports that use the Financial Model dataset and notify the report owners of changes to the measures.

Members of the enterprise analytics team report that creating Power BI reports and adjusting tables and views in Azure Synapse is tedious because they must switch between the Power BI workspaces and the Azure Synapse workspaces.

The information security team identifies that the user experience data is being shared externally.

Requirements -

Planned Changes -

Fabrikam plans to implement the following changes:

• Power BI will be registered as a data source in Microsoft Purview.

• The analysts in the Product business unit will create a more automated process for deploying Power BI reports and datasets to the User Experience workspace.

The enterprise analytics team plans to perform the following tasks:

• Update the DAX calculations in the Financial Model dataset.

• Create views in the Azure Synapse workspaces to speed up the parsing of user experience data.

• Create and document the change management process for shared Power BI datasets.

Technical Requirements -

From Microsoft Purview, analysts in all the business units must be able to see all the assets in the Power BI tenant and the Azure Synapse workspaces. Power BI asset information must include lineage to identify the data sources used by each report.

The information security team must identify all the Power BI reports and datasets that contain Personally Identifiable Information (PII).

Fabrikam requires a security solution for the Power BI tenant. The solution must meet the following requirements:

• Access to the tenant by external users must be approved by a manager and granted by the IT group.

• The external users must be prevented from publishing or modifying content in the tenant.

• Users must be prevented from sharing Power BI reports publicly to the internet.

The new process for deploying Power BI reports and datasets to the User Experience workspace must ensure that the datasets point to the lake database to which the relevant dataset is deployed. The views in each lake database must present the data in a tabular format.

You need to recommend a solution for the analysts in the Finance and Accounting business unit to mitigate the increase in maintenance of their assets in the Power BI tenant.

Which two actions should you recommend? Each correct answer presents part of the solution.

NOTE: Each correct selection is worth one point.

What solution should you suggest to minimize the query size sent to the Azure SQL database when publishing dataset changes to the development, test, or production pipelines in order to address the reported increase in query volume from the Power BI service?