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

1. HOTSPOT
You are designing a dimension named Employee for a SQL Server Analysis Services
multidimensional project.
The Employee dimension contains a DateOfBirth attribute and a MaritalStatus attribute.
You need to minimize the amount of time required to process the cube.
What should you do? To answer, select the appropriate relationship type for each attribute
in the answer area.

2. HOTSPOT
You are developing a SQL Server Analysis Services (SSAS) cube that contains the data for a running team.
The data warehouse used by the cube contains the time durations of taps run by each runner on the team. The time durations are stored in seconds as an integer.
You need to build the following two measures in the cube:
- A measure named Measure1 that must contain the average time duration of the laps run by each runner. - A measure named Measure2 that must contain the lap-time duration and the name of the runner who ran the fastest lap.
What should you do? To answer, select the appropriate Aggregation Function property for each measure in the answer area.

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) Add a measure that uses the DistinctCount aggregate function to an existing measure group.
B) 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.
C) Create several dimensions. Add each dimension to the cube.
D) Use the Business Intelligence Wizard to define dimension intelligence.
E) Add a hidden measure that uses the Sum aggregate function. Add a calculated measure aggregating the measure along the time dimension.
F) Create a dimension. Create regular relationships between the cube dimension and the measure group. Configure the relationships to use different dimension attributes.
G) Create a dimension. Then add a cube dimension and link it several times to the measure group.
H) Use role playing dimensions.
I) 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.
J) 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.
K) Add a measure group that has one measure that uses the DistinctCount aggregate function.
L) Add a measure that uses the Count aggregate function to an existing measure group.
M) 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.
N) 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.
O) Add a calculated measure based on an expression that counts members filtered by the Exists and NonEmpty functions.

4. HOTSPOT
You are developing a SQL Server Analysis Services (SSAS) cube.
Revenue must be compared to a goal and described by a status and a trend. Revenue,
goal, status, and trend will be defined by Multidimensional Expressions (MDX) expressions.
You need to add the Revenue measure.
Which tab should you select? (To answer, select the appropriate tab in the answer area.)

5. 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.

Solutions: