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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. You create a SQL Server 2008 Reporting Services (SSRS) solution. Eighteen users edit the content of the reports. And the users all are members of an Active Directory group named Designers. Because the reports are published with incomplete information, an approval process must be designed. So what should you do?

A) You should deploy the reports to a Microsoft Office SharePoint Server 2007 environment.
B) You should create a shared schedule for the reports and set the snapshot execution option for all the reports by using the shared schedule.
C) You should restrict the Designers group to the Browser role in SSRS.
D) You should add the Designers group to the Content Manager role in SSRS.

2. You design a Business Intelligence (BI) solution by using SQL Server 2008. You create a SQL Server 2008
Analysis Services (SSAS) solution. The solution contains a cube that has a measure named SalesAmount.
The measure contains customer sales data for the last six months. The cube has a single partition that has
the storage property set to real-time hybrid online analytical processing (HOLAP).
Queries against the cube must return current sales data that is entered one hour before cube processing.
The partition takes two hours to process and the response time for the queries is slow. You need to
improve the cube processing and query response time.
What should you do?

A) Change the storage setting of the partition to multidimensional online analytical processing (MOLAP).
B) Create a partition for each customer. Set the storage setting of every partition to low-latency multidimensional online analytical processing (MOLAP).
C) Change the storage setting of the partition to real-time relational online analytical processing (ROLAP).
D) Create a partition for every month. Set the storage setting of the partition for the current month to low-latency multidimensional online analytical processing (MOLAP) and that of the other partitions to MOLAP.

3. You design a Business Intelligence (BI) solution by using SQL Server 2008. You plan to transform vehicle survey data from a flat file to a data warehouse. You need to design a solution that performs the following tasks:
-Redirect data of vehicle owners to a table named DimOwner.
-Redirect data of vehicle enthusiasts to a table named DimEnthusiast.
-Log each record's key along with the data transfer date to an audit table.
What should you do?

A) Use a Multicast component to redirect data to the audit table and to a second Multicast component. Use the second Multicast component to redirect the data to the DimOwner and DimEnthusiast tables.
B) Use a Conditional Split component to redirect data to the audit table and to a second Conditional Split component. Use the second Conditional Split component to redirect the data to the DimOwner and DimEnthusiast tables.
C) Use a Conditional Split component to redirect data to the audit table and to a Multicast component. Use the Multicast component to redirect the data to the DimOwner and DimEnthusiast tables.
D) Use a Multicast component to redirect data to the audit table and to a Conditional Split component. Use the Conditional Split component to redirect the data to the DimOwner and DimEnthusiast tables.

4. You are the administrator of your company network. And now you??re in charge of SQL Server 2008 Analysis Services (SSAS) data mining. You create a data mining solution which collects data from three different operational source systems. You noticed that when the operational source systems are accessed directly, performance problems occur. During the off-duty time, the solution is updated continuously by using current data on a daily basis. What should you do to integrate data for the data mining solution without causing performance problems?

A) You should create Views in SQL Server 2008 to join the tables of all the operational source systems by using Open Rowset queries and build the data mining
B) You should build a staging area to collect data from all the operational source systems by using SQL Server 2008 Integration Services (SSIS) and build the data
C) You should create Views in SQL Server 2008 to join the tables of all the operational source systems by using Linked Servers and create the data mining solution to
D) You should integrate all the operational source systems in a Data Source View of the data mining solution and collect data directly from the operational source

5. 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 CustomerKey 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 City 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 a materialized 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 an unmaterialized reference relationship between the Geography dimension and the FactInternetSales measure by using the Customer dimension as an intermediate dimension.

Solutions: