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Microsoft PRO:MS SQL Server 2008, Designing a Business Intelligence Sample Questions:

1. You are the administrator of your company network. You use SQL Server 2008 to develop a Business Intelligence (BI) solution. There's a data warehouse named ClientA, it contains a Fact table named FactClient which has two columns named ClientMain and ClientSell. You use SQL Server 2008 Analysis Services (SSAS) to create a data mining model named ClientModel. You also use SQL Server 2008 Reporting Services (SSRS) to create a report, it is used to list the top 30 clients according to the sales amount. You add a column named Wellsale to the report which takes data from a SQL Server relational database. Now you must make sure that the Wellsale column displays the probability values of the expensive products that customers are intend to buy. So what Data Mining Extensions (DMX) query should you use?

A) SELECT Probability(m.[Wellsale]) as [Wellsale], t.[ClientMain], t.[Clientsell] From [ClientModel] m PREDICTION JOIN OPENQUERY([ClientA], 'SELECT [ClientMain], [Clientsell] From FactClient ORDER BY [Clientsell] ') AS t ON m.[ClientMain] = t.[ClientMain]
B) SELECT PredictProbability(t.[Wellsale]) as [Wellsale], m.[ClientMain], m.[Clientsell] From [ClientModel] m PREDICTION JOIN OPENQUERY([ClientA], 'SELECT [ClientMain], [Clientsell] From FactClient ORDER BY [Clientsell] ') AS t ON m.[ClientMain] = t.[ClientMain]
C) SELECT PredictProbability(m.[Wellsale]) as [Wellsale], t.[ClientMain], t.[Clientsell] From [ClientModel] m PREDICTION JOIN OPENQUERY([ClientA], 'SELECT TOP 50 [ClientMain], [Clientsell] FROM FactClient ORDER BY [Clientsell] ') AS t
D) SELECT PredictProbability(m.[Wellsale]) as [Wellsale], t.[ClientMain], t.[Clientsell] From [ClientModel] m PREDICTION JOIN OPENQUERY([ClientA], 'SELECT TOP 50 [ClientMain],[Clientsell] From FactClient ORDER BY [Clientsell] ') AS t ON m.[ClientMain] = t.[ClientMain]

2. You design a SQL Server 2008 Analysis Services (SSAS) solution. The data source view has tables as shown in the exhibit. (Click the Exhibit button.)

The FactInternetSales measure will be queried frequently based on the city and country of the customer. You need to design a cube that will provide optimal performance for queries.
Which design should you choose?

A) Create a dimension named Customer by joining the DimGeography and DimCustomer tables. Add an attribute relationship from CustomerKey to City and from City to Country. Create a regular relationship in the cube between the Customer dimension and the FactInternetSales measure.
B) Create a dimension named Customer by joining the DimGeography and DimCustomer tables. Add an attribute relationship from CustomerKey to City and from CustomerKey to Country. Create a regular relationship in the cube between the Customer dimension and the FactInternetSales measure.
C) Create two dimensions named Customer and Geography from the DimCustomer table and the DimGeography table, respectively. Create an unmaterialized reference relationship between the Geography dimension and the FactInternetSales measure by using the Customer dimension as an intermediate dimension.
D) Create two dimensions named Customer and Geography from the DimCustomer table and the DimGeography table, respectively. Create a materialized reference relationship between the Geography dimension and the FactInternetSales measure by using the Customer dimension as an intermediate dimension.

3. You design a Business Intelligence (BI) solution by using SQL Server 2008. A SQL Server 2008 Analysis
Services (SSAS) solution contains a cube that has the following objects:
Dimensions named DimCustomer, DimProduct, and DimGeography Measures named InternetSales and
TotalSales
Users run reports against all dimensions and measures by authenticating with their Windows accounts.
You need to provide a basic view of data to the users to display only DimGeography, DimProduct, and
TotalSales by using the least amount of storage space.
What should you do?

A) Create a new cube. Add DimGeography, DimProduct, and TotalSales.
B) Create a new data source view. dd the tables used for DimGeography, DimProduct, and TotalSales.
C) Create a new perspective for the current cube. Select DimGeography, DimProduct, and TotalSales.
D) Create a new role. Grant access only to DimGeography, DimProduct, and TotalSales.

4. You are the administrator of your company network. You use Server 2008 to develop a Business Intelligence (BI) solution. There??s an application record the inventory to the Products table at the end of every business day. The business solution for the application must meet the following two features: 1. Historical product attributes are not stored. 2. The content of the Products table changes every day.You have to choose an appropriate dimensional model to
satisfy the business solution. So which model will you utilize?

A) You should utilize degenerate Dimension
B) You should utilize parent-child Dimension
C) You should utilize Type II Slowly Changing Dimension
D) You should utilize Type I Slowly Changing Dimension

5. You are the administrator of your company network. You use Server 2008 to develop a Business Intelligence (BI) solution. And you want to deploy a new database that contains a cube to the SQL Server 2008 Analysis Services (SSAS) instance. And the cube contains three Type 1 slowly hanging dimensions. The database is updated everyday by adding 4,800 rows of data every hour. Now you have to make sure two things, one is the cube must contain up-to-date data at all times, the other is, during cube processing, the users are able to access the cube. So what should you do to achieve this two?

A) You should utilize the relational online analytical processing (ROLAP) cube storage model.
B) You should utilize the hybrid online analytical processing (HOLAP) cube storage model. Use SQL Server 2008 Integration Services (SSIS) pipeline tasks to
C) You should utilize the automatic multidimensional online analytical processing (MOLAP) cube storage model.
D) You should utilize the hybrid online analytical processing (HOLAP) cube storage model. Use the snapshot isolation level in the relational database that the cube is

Solutions: