DP-500 Practice Test Free – 50 Real Exam Questions to Boost Your Confidence
Preparing for the DP-500 exam? Start with our DP-500 Practice Test Free – a set of 50 high-quality, exam-style questions crafted to help you assess your knowledge and improve your chances of passing on the first try.
Taking a DP-500 practice test free is one of the smartest ways to:
- Get familiar with the real exam format and question types
- Evaluate your strengths and spot knowledge gaps
- Gain the confidence you need to succeed on exam day
Below, you will find 50 free DP-500 practice questions to help you prepare for the exam. These questions are designed to reflect the real exam structure and difficulty level. You can click on each Question to explore the details.
You are creating a Python visual in Power BI Desktop. You need to retrieve the value of a column named Unit Price from a DataFrame. How should you reference the Unit Price column in the Python code?
A. dataset[‘Unit Price’]
B. (‘Unit Price’)
C. pandas.DataFrame(‘Unit Price’)
D. data = [Unit Price]
HOTSPOT - You have a Power BI report and dataset in Power BI Desktop. The dataset contains a calculation group named CG1 that contains four calculation items. The Current calculation item is 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.
You have an Azure Synapse Analytics notebook. You run the %%sql magic command to render data into an Apache Spark DataFrame named df1, and then you run the following code. display(df1, summary = true) Which three attributes will be returned by the command? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.
A. type
B. range
C. missing
D. unique
E. ordinal
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.
A. Use Microsoft Purview to search for datasets that contain the relevant data.
B. Perform impact analysis on the relevant data source.
C. Create a live connection to a Power BI dataset.
D. Create a Power BI template app.
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.
You have a Power BI dataset named Dataset1 that uses DirectQuery against an Azure SQL database named DB1. DB1 is a transactional database in the third normal form. You need to recommend a solution to minimize how long it takes to execute the query. The solution must maintain the current functionality. What should you include in the recommendation?
A. Remove the relationships from Dataset1.
B. Normalize the tables in DB1.
C. Create calculated columns in Dataset1.
D. Denormalize the tables in DB1.
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. You are using an Azure Synapse Analytics serverless SQL pool to query a collection of Apache Parquet files by using automatic schema inference. The files contain more than 40 million rows of UTF-8-encoded business names, survey names, and participant counts. The database is configured to use the default collation. The queries use OPENROWSET and infer the schema shown in the following table.You need to recommend changes to the queries to reduce I/O reads and tempdb usage. Solution: You recommend defining a data source and view for the Parquet files. You recommend updating the query to use the view. Does this meet the goal?
A. Yes
B. No
HOTSPOT - 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.
HOTSPOT - You have the following code in an Azure Synapse notebook.Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the code. NOTE: Each correct selection is worth one point.
HOTSPOT - 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. You need to create a measure to count orders for the market basket analysis. How should you complete the DAX expression? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.
You have a deployment pipeline for a Power BI workspace. The workspace contains two datasets that use Import storage mode. A database administrator reports a drastic increase in the number of queries sent from the Power BI service to an Azure SQL database since the creation of the deployment pipeline. An investigation into the issue identifies the following: One of the datasets is larger than 1 GB and has a fact table that contains more than 500 million rows. When publishing dataset changes to development, test, or production pipelines, a refresh is triggered against the entire dataset. You need to recommend a solution to reduce the size of the queries sent to the database when the dataset changes are published to development, test, or production. What should you recommend?
A. Enable the large dataset storage format for workspace.
B. Create a dataset parameter to reduce the fact table row count in the development and test pipelines.
C. Request the authors of the deployment pipeline datasets to reduce the number of datasets republished during development.
D. Turn off auto refresh when publishing the dataset changes to the Power BI service.
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.
A. an incremental refresh of Product where the ModifiedDate value is during the last three days.
B. an incremental refresh of dbo.SalesTransactions where the SalesDate value is during the last three days.
C. a full refresh of all the tables
D. an incremental refresh of dbo.SalesTransactions where the SalesDate value is during the last hour.
HOTSPOT - 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 - Contoso, Ltd. is a company that sells enriched financial data to a variety of external customers. Contoso has a main office in Los Angeles and two branch offices in New York and Seattle. Existing Environment - Data Infrastructure - Contoso has a 50-TB data warehouse that uses an instance of SQL Server on Azure Virtual Machines. The data warehouse populates an Azure Synapse Analytics workspace that is accessed by the external customers. Currently, the customers can access all the data. Contoso has one Power BI workspace named FinData that contains a single dataset. The dataset contains financial data from around the world. The workspace is used by 10 internal users and one external customer. The dataset has the following two data sources: the data warehouse and the Synapse Analytics serverless SQL pool. Users frequently query the Synapse Analytics workspace by using Transact-SQL. User Problems - Contoso identifies the following user issues: Some users indicate that the visuals in Power BI reports are slow to render when making filter selections. Users indicate that queries against the serverless SQL pool fail occasionally because the size of tempdb has been exceeded. Users indicate that the data in Power BI reports is stale. You discover that the refresh process of the Power BI model occasionally times out. Planned Changes - Contoso plans to implement the following changes: Into the existing Power BI dataset, integrate an external data source in JSON that is accessible by using the REST API. Build a new dataset in the FinData workspace by using data from the Synapse Analytics dedicated SQL pool. Provide all the customers with their own Power BI workspace to create their own reports. Each workspace will use the new dataset in the FinData workspace. Implement subscription levels for the customers. Each subscription level will provide access to specific rows of financial data. Deploy prebuilt datasets to Power BI to simplify the query experience of the customers. Provide internal users with the ability to incorporate machine learning models loaded to the dedicated SQL pool. You need to build a Transact-SQL query to implement the planned changes for the internal users. How should you complete the Transact-SQL query? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.
You are implementing a reporting solution that has the following requirements: Reports for external customers must support 500 concurrent requests. The data for these reports is approximately 7 GB and is stored in Azure Synapse Analytics. Reports for the security team use data that must have local security rules applied at the database level to restrict access. The data being reviewed is 2 GB. Which storage mode provides the best response time for each group of users?
A. Import for the external customers and DirectQuery for the security team.
B. DirectQuery for the external customers and import for the security team.
C. DirectQuery for the external customers and DirectQuery for the security team.
D. Import for the external customers and import for the security team.
HOTSPOT - You have the following code in an Azure Synapse notebook.Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the code. NOTE: Each correct selection is worth one point.
You have the following Python code in an Apache Spark notebook.Which type of chart will the code produce?
A. a stacked bar chart
B. an area chart
C. a bar chart
D. a pie chart
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 - Contoso, Ltd. is a company that sells enriched financial data to a variety of external customers. Contoso has a main office in Los Angeles and two branch offices in New York and Seattle. Existing Environment - Data Infrastructure - Contoso has a 50-TB data warehouse that uses an instance of SQL Server on Azure Virtual Machines. The data warehouse populates an Azure Synapse Analytics workspace that is accessed by the external customers. Currently, the customers can access all the data. Contoso has one Power BI workspace named FinData that contains a single dataset. The dataset contains financial data from around the world. The workspace is used by 10 internal users and one external customer. The dataset has the following two data sources: the data warehouse and the Synapse Analytics serverless SQL pool. Users frequently query the Synapse Analytics workspace by using Transact-SQL. User Problems - Contoso identifies the following user issues: Some users indicate that the visuals in Power BI reports are slow to render when making filter selections. Users indicate that queries against the serverless SQL pool fail occasionally because the size of tempdb has been exceeded. Users indicate that the data in Power BI reports is stale. You discover that the refresh process of the Power BI model occasionally times out. Planned Changes - Contoso plans to implement the following changes: Into the existing Power BI dataset, integrate an external data source in JSON that is accessible by using the REST API. Build a new dataset in the FinData workspace by using data from the Synapse Analytics dedicated SQL pool. Provide all the customers with their own Power BI workspace to create their own reports. Each workspace will use the new dataset in the FinData workspace. Implement subscription levels for the customers. Each subscription level will provide access to specific rows of financial data. Deploy prebuilt datasets to Power BI to simplify the query experience of the customers. Provide internal users with the ability to incorporate machine learning models loaded to the dedicated SQL pool. You need to recommend a solution to resolve the query issue of the serverless SQL pool. The solution must minimize impact on the users. What should you in the recommendation?
A. Update the statistics for the serverless SQL pool.
B. Move the data from the serverless SQL pool to a dedicated Apache Spark pool.
C. Execute the sp_set_process_data_limit stored procedure for the serverless SQL pool.
D. Move the data from the serverless SQL pool to a dedicated SQL pool.
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.
A. From the Corporate Data Models and User Experience workspaces, select Allow contributors to update the app.
B. From the Corporate Data Models and User Experience workspace, set License mode to Premium per user.
C. From the Tenant settings, set Allow specific users to turn on external data sharing to Enable.
D. From the Developer settings, set Allow service principals to use Power BI APIs to Enable.
You have an Azure Synapse Analytics dedicated SQL pool and a Microsoft Purview account. The Microsoft Purview account has been granted sufficient permissions to the dedicated SQL pool. You need to ensure that the SQL pool is scanned by Microsoft Purview. What should you do first?
A. Create a data policy.
B. Search the data catalog.
C. Register a data source.
D. Create a data share connection.
You need to save Power BI dataflows in an Azure Storage account. Which two prerequisites are required to support the configuration? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.
A. The connection must be created by a user that is assigned the Storage Blob Data Owner role.
B. Dataflows must exist already for any directly connected Power BI workspaces.
C. The storage account must be protected by using an Azure Firewall.
D. The storage account must be created in a separate Azure region from the Power BI tenant and workspaces.
E. The storage account must have hierarchical namespace enabled.
You are creating a Power BI report that will contain multiple visuals. You need to ensure that the report is accessible to users who use a screen reader. Which two configurations should you perform? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.
A. consistent colors for each visual
B. consistent fonts for each visual
C. alt text for each visual
D. the tab order for each page
E. Play Axis for each page
HOTSPOT - You are building a Power BI dataset that contains a table named Calendar. Calendar contains the following calculated column.You need to create a measure that will perform a fiscal prior year-to-date calculation that meets the following requirements: Returns the fiscal prior year-to-date value for [Sales Amount] Uses a fiscal year end of June 30 Produces no result for dates in the future How should you complete the DAX expression? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.
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 Query query in a Power BI report. The query maps source database columns to the input columns of a time series machine learning model. You discover that the model fails to process a source time field. You need to ensure that the model processes the field. Solution: You convert the time column into the Text data type. Does this meet the requirement?
A. Yes
B. No
You develop a solution that uses a Power BI Premium capacity. The capacity contains a dataset that is expected to consume 50 GB of memory. Which two actions should you perform to ensure that you can publish the model successfully to the Power BI service? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.
A. Restart the capacity.
B. Publish an initial dataset that is less than 10 GB.
C. Increase the Max Offline Dataset Size setting.
D. Invoke a refresh to load historical data based on the incremental refresh policy.
E. Publish the complete dataset.
You use Azure Synapse Analytics and Apache Spark notebooks to explore native visuals. You need to use PySpark to gain access to the visual libraries. Which Python libraries should you use?
A. Seaborn and TensorFlow
B. Seaborn only
C. Matplotlib and Seaborn
D. Matplotlib only
E. Matplotlib and TensorFlow
F. TensorFlow only
HOTSPOT - You are enhancing a Power BI model that has DAX calculations. You need to create a DAX measure that returns the year-to-date total sales from the same date from the previous calendar year. How should you complete the measure? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.
You have two Power BI reports named Report1 and Report2. Report1 connects to a shared dataset named Dataset1. Report2 connects to a local dataset that has the same structure as Dataset1. Report2 contains several calculated tables and parameters. You need to prepare Report2 to use Dataset1. Which two actions should you perform? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.
A. Remove the data source permissions.
B. Delete all the Power Query Editor objects.
C. Modify the source of each query.
D. Update all the parameter values.
E. Delete all the calculated tables.
HOTSPOT - You have a Power BI tenant that contains two workspaces named WorkspaceA and WorkspaceB. WorkspaceA contains centralized datasets. You need to ensure that users can create reports by using the datasets in WorkspaceA and store the reports in WorkspaceB. Which setting should you enable and for which resource? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.
You have an Apache Spark notebook that contains PySpark code and is used to explore data in an Azure Synapse Analytics workspace. You need to create data visualizations in the notebook by using built-in libraries. Which two libraries can you use? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point.
A. Gleam
B. Plotly
C. Seaborn
D. Matplotlib
HOTSPOT - You have an Azure Synapse Analytics serverless SQL pool and an Azure Data Lake Storage Gen2 account. You need to query all the files in the ‘csv/taxi/’ folder and all its subfolders. All the files are in CSV format and have a header row. How should you complete the query? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.
You have an Azure Synapse Analytics dedicated SQL pool. You need to ensure that the SQL pool is scanned by Azure Purview. What should you do first?
A. Create a data policy.
B. Create a data share connection.
C. Search the data catalog.
D. Register a data source.
You are optimizing a Power BI data model by using DAX Studio. You need to capture the query events generated by a Power BI Desktop report. What should you use?
A. the DMV list
B. a Server Timings trace
C. an All Queries trace
D. a Query Plan trace
You discover a poorly performing measure in a Power BI data model. You need to review the query plan to analyze the amount of time spent in the storage engine and the formula engine. What should you use?
A. Tabular Editor
B. Vertipaq Analyzer
C. DAX Studio
D. Performance analyzer in Power BI Desktop
HOTSPOT - You need to configure a source control solution for Azure Synapse Analytics. The solution must meet the following requirements: Code must always be merged to the main branch before being published, and the main branch must be used for publishing resources. The workspace templates must be stored in the publish branch. A branch named dev123 will be created to support the development of a new feature. What should you do? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.
You have a Power BI workspace named Workspace1 that contains five dataflows. You need to configure Workspace1 to store the dataflows in an Azure Data Lake Storage Gen2 account. What should you do first?
A. Change the Data source settings in the dataflow queries.
B. Disable load for all dataflow queries.
C. Delete the dataflow queries.
DRAG DROP - 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.
You have a Power BI report that contains the visual shown in the following exhibit.You need to make the visual more accessible to users who have color vision deficiency. What should you do?
A. Add additional measures to the table values.
B. Change the red background color to orange.
C. Add icons to represent the sales status of each product.
D. Change the font color of values in the Sales column to white.
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 Premium capacity. From the Power BI Premium Capacity Metrics app, you discover the following: • There is insufficient CPU to execute dataset refreshes. • Out-of-memory throttling occurs when the dataset is waiting. You need to recommend a solution to resolve the performance issues. Solution: You scale up the capacity. Does this meet the goal?
A. Yes
B. No
You are planning a Power BI solution for a customer. The customer will have 200 Power BI users. The customer identifies the following requirements: Ensure that all the users can create paginated reports. Ensure that the users can create reports containing AI visuals. Provide autoscaling of the CPU resources during heavy usage spikes. You need to recommend a Power BI solution for the customer. The solution must minimize costs. What should you recommend?
A. a Power BI Premium per capacity
B. Power BI Report Server
C. Power BI Premium per user
D. Power BI Pro per user
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 - Contoso, Ltd. is a company that sells enriched financial data to a variety of external customers. Contoso has a main office in Los Angeles and two branch offices in New York and Seattle. Existing Environment - Data Infrastructure - Contoso has a 50-TB data warehouse that uses an instance of SQL Server on Azure Virtual Machines. The data warehouse populates an Azure Synapse Analytics workspace that is accessed by the external customers. Currently, the customers can access all the data. Contoso has one Power BI workspace named FinData that contains a single dataset. The dataset contains financial data from around the world. The workspace is used by 10 internal users and one external customer. The dataset has the following two data sources: the data warehouse and the Synapse Analytics serverless SQL pool. Users frequently query the Synapse Analytics workspace by using Transact-SQL. User Problems - Contoso identifies the following user issues: Some users indicate that the visuals in Power BI reports are slow to render when making filter selections. Users indicate that queries against the serverless SQL pool fail occasionally because the size of tempdb has been exceeded. Users indicate that the data in Power BI reports is stale. You discover that the refresh process of the Power BI model occasionally times out. Planned Changes - Contoso plans to implement the following changes: Into the existing Power BI dataset, integrate an external data source in JSON that is accessible by using the REST API. Build a new dataset in the FinData workspace by using data from the Synapse Analytics dedicated SQL pool. Provide all the customers with their own Power BI workspace to create their own reports. Each workspace will use the new dataset in the FinData workspace. Implement subscription levels for the customers. Each subscription level will provide access to specific rows of financial data. Deploy prebuilt datasets to Power BI to simplify the query experience of the customers. Provide internal users with the ability to incorporate machine learning models loaded to the dedicated SQL pool. You need to identify the root cause of the data refresh issue. What should you use?
A. the Usage Metrics Report in powerbi.com
B. Query Diagnostics in Power Query Editor
C. Performance analyzer in Power BI Desktop
You are creating a Power BI single-page report. Some users will navigate the report by using a keyboard, and some users will navigate the report by using a screen reader. You need to ensure that the users can consume content on a report page in a logical order. What should you configure on the report page?
A. the X position
B. the bookmark order
C. the layer order
D. the tab order
You are configuring a Power BI report for accessibility as shown in the following table.You need to change the default colors of all three visuals to make the report more accessible to users who have color vision deficiency. Which two settings should you configure in the Customize theme window? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.
A. Theme colors
B. Divergent colors
C. Sentiment colors
D. First-level elements colors
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.
DRAG DROP - You have an Azure Synapse Analytics serverless SQL pool. You need to return a list of files and the number of rows in each file. How should you complete the Transact-SQL statement? To answer, drag the appropriate values to the targets. Each value 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.
HOTSPOT - You are creating a Power BI Desktop report. You add a Python visual to the report page. You plan to create a scatter chart to visualize the data. You add Python code to the Python script editor. You need to create the scatter chart. How should you complete the Python code? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.
You have a Power BI Premium capacity. You need to increase the number of virtual cores associated to the capacity. Which role do you need?
A. Power BI workspace admin
B. capacity admin
C. Power Platform admin
D. Power BI admin
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 - Contoso, Ltd. is a company that sells enriched financial data to a variety of external customers. Contoso has a main office in Los Angeles and two branch offices in New York and Seattle. Existing Environment - Data Infrastructure - Contoso has a 50-TB data warehouse that uses an instance of SQL Server on Azure Virtual Machines. The data warehouse populates an Azure Synapse Analytics workspace that is accessed by the external customers. Currently, the customers can access all the data. Contoso has one Power BI workspace named FinData that contains a single dataset. The dataset contains financial data from around the world. The workspace is used by 10 internal users and one external customer. The dataset has the following two data sources: the data warehouse and the Synapse Analytics serverless SQL pool. Users frequently query the Synapse Analytics workspace by using Transact-SQL. User Problems - Contoso identifies the following user issues: Some users indicate that the visuals in Power BI reports are slow to render when making filter selections. Users indicate that queries against the serverless SQL pool fail occasionally because the size of tempdb has been exceeded. Users indicate that the data in Power BI reports is stale. You discover that the refresh process of the Power BI model occasionally times out. Planned Changes - Contoso plans to implement the following changes: Into the existing Power BI dataset, integrate an external data source in JSON that is accessible by using the REST API. Build a new dataset in the FinData workspace by using data from the Synapse Analytics dedicated SQL pool. Provide all the customers with their own Power BI workspace to create their own reports. Each workspace will use the new dataset in the FinData workspace. Implement subscription levels for the customers. Each subscription level will provide access to specific rows of financial data. Deploy prebuilt datasets to Power BI to simplify the query experience of the customers. Provide internal users with the ability to incorporate machine learning models loaded to the dedicated SQL pool. You need to recommend a solution for the customer workspace to support the planned changes. Which two configurations should you include in the recommendation? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.
A. Publish the financial data to the web.
B. Configure the FinData workspace to use a Power BI Premium capacity.
C. Grant the Build permission for the financial data to each customer.
D. Set Use datasets across workspaces to Enabled.
HOTSPOT - You are using Azure Synapse Studio to explore a dataset that contains data about taxi trips. You need to create a chart that will show the total trip distance according to the number of passengers as shown in the following exhibit.How should you configure the chart? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.
You have an Azure SQL database named DB1. You have a Power BI tenant that contains 20 workspaces. Multiple workspaces contain datasets that use DB1 as a data source. You need to identity how many datasets use DB1 as a data source across the tenant. What should you use?
A. an XLMA endpoint
B. the Power BI REST API
C. Power BI data source files
D. lineage view
You have a Power BI dataset that has only the necessary fields visible for report development. You need to ensure that only 25 fields are available when end users personalize visuals. What should you do?
A. From Tabular Editor, create a new perspective.
B. From Tabular Editor, create a new role.
C. Hide all the fields in the dataset.
D. Configure object-level security (OLS).
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