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Microsoft Transition Your MCITP: Business Intelligence Developer 2008 to MCSE: Business Intelligence Sample Questions:

1. You have two servers named Server1 and Server2. Both servers have SQL Server 2012 installed. Both servers have a SQL Server Integration Services (SSIS) catalog.
You are preparing a disaster recovery plan for a business intelligence (BI) solution.
You need to ensure that the SSIS catalog from Server1 can be restored to Server2.
Which two actions should you perform on Server1? Each correct answer presents part of the solution.

A) Back up the SSISDB database.
B) Back up the master key of the SSISDB database.
C) Back up the master key of the master database.
D) Back up the master database.
E) Run sp_configure 'clr enabled', 1.
F) Run sp.configure 'clr enabled', 0.

2. DRAG DROP
You are developing a SQL Server Analysis Services (S5AS) cube. The cube consists of a
single measure group.
The measure group consists of one partition that uses MOLAP.
The proactive caching policy has the following requirements: - The cache must be updated when data is changed in the table named tbIOrders. - Changes must be notified through the use of the XML for Analysis (XMLA) NotifyTableChange command. You need to configure the proactive caching policy to meet the requirements.
Which three actions should you perform in sequence? (To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.)

3. Note: This question is part of a series of questions that use the same set of answer choices. An answer choice may be correct for more than one question in the series.
You are creating a SQL Server Analysis Services (SSAS) cube.
You need to create a time dimension. It must be linked to a measure group named Sales at the day granularity level. It must also be linked to a measure group named Salary at the month granularity level.
What should you do?

A) Create a new named calculation in the data source view to calculate a rolling sum. Add a measure that uses the Max aggregate function based on the named calculation.
B) Add a measure that uses the DistinctCount aggregate function to an existing measure group.
C) Create a dimension. Create regular relationships between the cube dimension and the measure group. Configure the relationships to use different dimension attributes.
D) Add a hidden measure that uses the Sum aggregate function. Add a calculated measure aggregating the measure along the time dimension.
E) Create a dimension with one attribute hierarchy. Set the IsAggregatable property to False and then set the DefaultMember property. Use a many-to-many relationship to link the dimension to the measure group.
F) Add a measure that uses the Count aggregate function to an existing measure group.
G) Create a dimension with one attribute hierarchy. Set the ValueColumn property, set the IsAggregatable property to False, and then set the DefaultMember property. Configure the cube dimension so that it does not have a relationship with the measure group. Add a calculated measure that uses the MemberValue attribute property.
H) Add a measure group that has one measure that uses the DistinctCount aggregate function.
I) Create a dimension with one attribute hierarchy. Set the IsAggregatable property to False and then set the DefaultMember property. Use a many-to-many relationship to link the dimension to the measure group.
J) Add a calculated measure based on an expression that counts members filtered by the Exists and NonEmpty functions.
K) Create a dimension with one attribute hierarchy. Set the IsAggrcgatable property to False and then set the DefaultMember property. Use a regular relationship between the dimension and measure group.
L) Use the Business Intelligence Wizard to define dimension intelligence.
M) Create a dimension. Then add a cube dimension and link it several times to the measure group.
N) Use role playing dimensions.
O) Create several dimensions. Add each dimension to the cube.

4. HOTSPOT
You are designing a SQL Server Analysis Services (SSAS) cube that contains two measure groups named Sales History and Current Sales.
The Sales History measure group has the following characteristics:
----
Data changes on a monthly basis.
The measure group contains a very high data volume.
Queries that use the measure group only reference aggregate data.
The measure group includes SUM, MIN, MAX, and COUNT aggregate functions.
The Current Sales measure group has the following characteristics:
----
Data changes frequently.
The measure group contains a low data volume.
Queries that use the measure group often reference non-aggregate data.
The measure group includes SUM, MIN, MAX, and COUNT aggregate functions.
You need to select a storage mode for each measure group. The solution must meet the following requirements:
- For the Sales History measure group, query performance must be optimized over data latency.
- For the Current Sales measure group, data latency must be optimized over query performance.
What should you do? To answer, select the appropriate storage mode for each measure group in the answer area.

5. You are developing a SQL Server Analysis Services (SSAS) tabular project.
A model contains tables and columns that must not be visible to the user. The columns and tables cannot be removed because they are used in calculations. The calculations are used to calculate the budget and forecast for the current quarter.
You need to hide the tables and columns.
What should you do?

A) Before adding the forecast calculations to the model, right-click the applicable tables and columns and select the Hide from Client Tools option.
B) After adding the budget calculations to the model, in the Properties window for the applicable tables and columns, set the Enabled property to False
C) After adding the budget calculations to the model, in the Properties window for the applicable tables and columns, set the Visible property to True.
D) Before adding the forecast calculations to the model, right-click the applicable tables and columns and select the Hide option.

Solutions: