Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution. Determine whether the solution meets the stated goals.You deploy a tabular data model to an instance of Microsoft SQL Server Analysis Services (SSAS). The model uses an in-memory cache to store and query data.The data set is already the same size as the available RAM on the server. Data volumes are likely to continue to increase rapidly.Your data model contains multiple calculated tables.The data model must begin processing each day at 2:00 and processing should be complete by 4:00 the same day. You observe that the data processing operation often does not complete before 7:00. This is adversely affecting team members.You need to improve the performance.Solution: Enable Buffer Cache Extensions.Does the solution 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. Determine whether the solution meets the stated goals.You have a Microsoft SQL Server Analysis Services (SSAS) multidimensional database that stores customer and order data for customers in the United States only. The database contains the following objects:You must create a KPI named Large Sales Target that uses the Traffic Light indicator to display status. The KPI must contain:You need to create the KPI.Solution: You set the value of the Status expression to:Does the solution 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. Determine whether the solution meets the stated goals.You have a Microsoft SQL Server Analysis Services (SSAS) multidimensional database that stores customer and order data for customers in the United States only. The database contains the following objects:You must create a KPI named Large Sales Target that uses the Traffic Light indicator to display status. The KPI must contain:You need to create the KPI.Solution: You set the value of the Status expression to:Does the solution 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. Determine whether the solution meets the stated goals.You have a Microsoft SQL Server Analysis Services (SSAS) multidimensional database that stores customer and order data for customers in the United States only. The database contains the following objects:You must create a KPI named Large Sales Target that uses the Traffic Light indicator to display status. The KPI must contain:You need to create the KPI.Solution: You set the value of the Status expression to:Does the solution 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. Determine whether the solution meets the stated goals.A company has an e-commerce website. When a customer places an order, information about the transaction is inserted into tables in a Microsoft SQL Server relational database named OLTP1. The company has a SQL Server Analysis Services (SSAS) instance that is configured to use Tabular mode. SSAS uses data from OLTP1 to populate a data model.Sales analysts build reports based on the SSAS model. Reports must be able to access data as soon as it is available in the relational database.You need to configure and deploy an Analysis Services project to the Analysis Services instance that allows near real-time data source access.Solution: In the Deployment Option property for the report, you set the Query Mode to InMemory.Does the solution 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. Determine whether the solution meets the stated goals.You deploy a tabular data model to an instance of Microsoft SQL Server Analysis Services (SSAS). The model uses an in-memory cache to store and query data.The data set is already the same size as the available RAM on the server. Data volumes are likely to continue to increase rapidly.Your data model contains multiple calculated tables.The data model must begin processing each day at 2:00 and processing should be complete by 4:00 the same day. You observe that the data processing operation often does not complete before 7:00. This is adversely affecting team members.You need to improve the performance.Solution: Change the storage mode for the data model to DirectQuery.Does the solution meet the goal?
