What does this exam cover?

Enterprise analytics solutions with Azure and Power BI.

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?

Correct Answer: Query Diagnostics in Power Query Editor

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 add new fields to the financial data Power BI dataset with data from the Microsoft SQL Server data warehouse. What should you include in the recommendation?

Correct Answer: the on-premises data gateway

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?

Correct Answer: 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 - 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 configure the Sales Analytics workspace to meet the ad hoc reporting requirements. What should you do?

Correct Answer: Grant the sales managers the Build permission for the existing Power BI datasets.

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?

Correct Answer: an incremental refresh of dbo.SalesTransactions where the SalesDate value is during the last three days.

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. What should you configure in the deployment pipeline?

Correct Answer: a data source rule

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?

Correct Answer: Delete the dataflow queries.

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?

Correct Answer: Register a data source.

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?

Correct Answer: In the dataset, change the fact table from an import table to a hybrid table.

You use an Apache Spark notebook in Azure Synapse Analytics to filter and transform data. You need to review statistics for a DataFrame that includes: The column name - The column type - The number of distinct values - Whether the column has missing values Which function should you use?

Correct Answer: display(df, summary=true)

You have a Power BI report that contains the table shown in the following exhibit. The table contains conditional formatting that shows which stores are above, near, or below the monthly quota for returns. You need to ensure that the table is accessible to consumers of reports who have color vision deficiency. What should you do?

Correct Answer: Change the icons to use a different shape for each color.

You have a Power BI dataset that has only the necessary fields visible for report development. You need to ensure that end users see only 25 specific fields that they can use to personalize visuals. What should you do?

Correct Answer: Configure object-level security (OLS).

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?

Correct Answer: Add icons to represent the sales status of each product.

You plan to generate a line chart to visualize and compare the last six months of sales data for two departments. You need to increase the accessibility of the visual. What should you do?

Correct Answer: Configure a unique marker for each series.

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?

Correct Answer: dataset[‘Unit Price’]

You open a Power BI Desktop report that contains an imported data model and a single report page. You open Performance analyzer, start recording, and refresh the visuals on the page. The recording produces the results shown in the following exhibit. What can you identify from the results?

Correct Answer: When all the visuals refresh simultaneously, the visuals spend most of the time waiting on other processes to finish.

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?

Correct Answer: an All Queries trace

You have a group of data scientists who must create machine learning models and run periodic experiments on a large dataset. You need to recommend an Azure Synapse Analytics pool for the data scientists. The solution must minimize costs. Which type of pool should you recommend?

Correct Answer: an Apache Spark pool

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?

Correct Answer: Matplotlib and Seaborn

You have a Power BI report that contains one visual. You need to provide users with the ability to change the visual type without affecting the view for other users. What should you do?

Correct Answer: From Report setting, select Personalize visuals.

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?

Correct Answer: Denormalize the tables in DB1.

You are running a diagnostic against a query as shown in the following exhibit. What can you identify from the diagnostics query?

Correct Answer: All the query steps are folding.

You have a Power BI workspace named Workspace1 in a Premium capacity. Workspace1 contains a dataset. During a scheduled refresh, you receive the following error message: “Unable to save the changes since the new dataset size of 11,354 MB exceeds the limit of 10,240 MB.” You need to ensure that you can refresh the dataset. What should you do?

Correct Answer: Turn on Large dataset storage format.

You have a Power BI data model. You need to refresh the data from the source every 15 minutes. What should you do first?

Correct Answer: Enable the XMLA endpoint.

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Designing and Implementing Enterprise-Scale Analytics Solutions Using Microsoft Azure and Microsoft Power BI

Design enterprise-scale analytics solutions using Azure and Power BI.

4.8★★★★★(296 ratings)

16,780 studentsIntermediate

Learn to architect analytics platforms that combine data engineering, governance, and business intelligence. The exam emphasizes enterprise design for scalable reporting and secure data access. This certification is well suited for analytics architects and senior BI professionals. It helps you build solutions that turn large amounts of data into trusted enterprise insight.

What you'll learn

Design analytics architectures- Support Power BI governance- Integrate Azure data services- Improve enterprise reporting- Secure data access

DP-500

Lectures1

Quizzes0

Duration30 week

Students16,780

$20.00

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