Microsoft 70-448

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

1. You create a SQL Server 2008 Analysis Services (SSAS) solution.
You create a dimension named DimProduct that contains an attribute named Price. You use the
DimProduct dimension in a cube.
You need to ensure that aggregations are not associated with the Price attribute.
What should you do?

A) Set the IsAggregatable property of the Price attribute to False.
B) Set the MembersWithData property of the Price attribute to NonLeafDataHidden.
C) Set the GroupingBehavior property of the Price attribute to DiscourageGrouping.
D) Set the AttributeHierarchyEnabled property of the Price attribute to False.

2. You create a SQL Server 2008 R2 Analysis Services (SSAS) solution.
You are configuring security settings for a new database role with the following requirements:
Only the West member can be viewed by the database role. All other existing members and any newly
added members of the Region attribute will not be visible. Members in attribute hierarchies that include a
member of the Region attribute remain visible. The members in other attribute hierarchies remain visible.
The state of Washington is visible.
The aggregated totals for the ALL Level and Region attributes include only the values for members that are
visible.
You need to ensure that the database role has these security settings.
What should you do? (Each correct answer presents part of the solution. Choose two.)

A) Set the Region attribute's IsAllowed = False, DeniedSet = "Except(Region..Members,{West})", ApplyDenied = False, and VisualTools = False.
B) Set the State attribute's IsAllowed = True, AllowedSet = "Except(Region..Members,{West} + {Washington})", ApplyDenied = False, and VisualTools = False.
C) Set the Region attribute's IsAllowed = True, DeniedSet = "Except(Region..Members,{West})", ApplyDenied = False, and VisualTools = True.
D) Set the State attribute's IsAllowed = True, AllowedSet = "Except(Region..Members,{West})", ApplyDenied = True, and VisualTools = False.

3. You maintain a SQL Server Analysis Services (SSAS) database. The database is configured by using
multiple security roles.
The database is accessed by a Microsoft ASP.NET application that runs on a remote computer. The
application is configured to use Windows Authentication.
You need to ensure that the users of the application can successfully access the SSAS database. You also
need to ensure that security restrictions of the roles are applied.
What should you do?

A) Set the AnonymousConnectionsEnabled policy to True.
B) Set the Security\RequireClientAuthentication property to True.
C) Configure Kerberos authentication.
D) Configure Analysis Services for HTTP authentication.

4. You use SSIS to consolidate customer data from a relational database and several Microsoft Excel files into a single data warehouse.
The data warehouse is missing information that exists in the Excel files.
You need to discover why the data warehouse is missing data. What should you verify first to begin troubleshooting?

A) That MSDTC has been started on the system.
B) That SSAS has been installed and configured.
C) That system event logs are not full.
D) That SSRS has been installed and configured.

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) 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
B) 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]' )
C) 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
D) SELECT * INTO [Decision Tree] USING [Microsoft_Decision_Trees] FROM [Bike Buyer]

Solutions: