Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.After you answer a question in this question, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.You have a Power BI dataset named Dataset1.In Dataset1, you currently have 50 measures that use the same time intelligence logic.You need to reduce the number of measures, while maintaining the current functionality.Solution: From Power BI Desktop, you group the measures in a display folder.Does this meet the goal?
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.After you answer a question in this question, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.You have a Power BI dataset named Dataset1.In Dataset1, you currently have 50 measures that use the same time intelligence logic.You need to reduce the number of measures, while maintaining the current functionality.Solution: From Tabular Editor, you create a calculation group.Does this meet the goal?
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.After you answer a question in this question, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.You have a Power BI dataset named Dataset1.In Dataset1, you currently have 50 measures that use the same time intelligence logic.You need to reduce the number of measures, while maintaining the current functionality.Solution: From DAX Studio, you write a query that uses grouping sets.Does this meet the goal?
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.After you answer a question in this question, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.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 an external table for the Parquet files and updating the query to use the table.Does this meet the goal?
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.After you answer a question in this question, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.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 using OPENROWSET WITH to explicitly specify the maximum length for businessName and surveyName.Does this meet the goal?
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?
