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Microsoft TS:MS SQL Server 2008.Business Intelligence Dev and Maintenan Sample Questions:

1. You build and deploy a SQL Server 2008 Integration Service (SSIS) package.
During package development, the XML configuration is not specified.
You need to apply the configuration file to the deployed package stored in files system.
Which parameter should you set in the DTEXEC command line utility?

A) /L
B) /Set
C) /conf
D) /CheckF

2. You develop a SQL Server 2008 Reporting Services (SSRS) project.
The report will display data from a SQL Server 2005 Analysis Services databasE.You need to ensure that
the report displays member properties and extended properties.
What should you do?

A) Use the SQL Server data source.
B) Use the OLE DB for the Analysis Services 8.0 data source.
C) Use the SQL Server Analysis Services data source.
D) Use the OLE DB for SQL Server data source.

3. You administer a SQL Server 2008 Analysis Services (SSAS) instance.
You plan to troubleshoot query performance by using a Dynamic Management View (DMV).
You need to identify query sessions that execute more than 10 commands prior to disconnecting.
Which DMV should you use?

A) Discover_Connections
B) Discover_Sessions
C) Discover_Traces
D) Discover_Commands

4. You create a SQL Server 2008 R2 Reporting Services (SSRS) solution. The organization requires a drilldown report that color coordinates the values of the student's' test scores. All average scores 70% or higher should have a green background. All lower average scores should have a red background.
You need to enable this functionality.
Which expression should you use?

A) =iif(avg(Fields!TestScore.Value) >= .70,"Green","Red"
B) =iif(avg(Fields!TestScore.Value) >= .70 THEN "Green","Red"
C) =iif(Fields!TestScore.Value >= .70 THEN "Green" ELSE "Red")
D) =iif(Fields!TestScore.Value >= .70,Green","Red")

5. You create a data mining model by using SQL Server 2008 Analysis Services (SSAS).
You create a mining structure by using the following Data Mining Extensions (DMX) code.
CREATE MINING STRUCTURE [Bike Buyer](
[Customer Key] LONG KEY,
[Age] LONG DISCRETIZED(Automatic, 10),
[Bike Buyer] LONG DISCRETE,
[Commute Distance] TEXT DISCRETE,
[Yearly Income] DOUBLE CONTINUOUS
)
You need to create a mining model that can be processed by using this mining structure. You also need to
ensure that the model uses the Microsoft Decision Trees algorithm.
Which DMX statement should you use?

A) INSERT INTO [Decision Tree] ( [Customer Key], [Age], [Bike Buyer], [Commute Distance], [Yearly Income] ) OPENQUERY([Bike Buyer], ?'Select [Customer Key], [Age], [Bike Buyer] , [Commute Distance],[Yearly Income]' )
B) CREATE MINING MODEL [Decision Tree] ( [Customer Key] LONG KEY, [Age] LONG DISCRETIZED(Automatic, 10), [Bike Buyer] LONG DISCRETE, [Commute Distance] TEXT DISCRETE, [Yearly Income] DOUBLE CONTINUOUS )?USING Microsoft_Decision_Trees
C) SELECT * INTO [Decision Tree] USING [Microsoft_Decision_Trees] FROM [Bike Buyer]
D) ALTER MINING STRUCTURE [Bike Buyer] ADD MINING MODEL [Decision Tree] ( [Customer Key],
[Age],
[Bike Buyer] PREDICT,
[Commute Distance],
[Yearly Income]
)?USING Microsoft_Decision_Trees
WITH DRILLTHROUGH

Solutions: