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Microsoft 070-460 Exam Syllabus Topics:

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

1. DRAG DROP
You are developing a SQL Server Analysis Services (SAS) multidimensional project that is configured to source data from a SQL Azure database.
You plan to use multiple servers to process different partitions simultaneously. You create and configure a new data source.
You need to create a new partition and configure SQL Server Analysis Services (SSAS) to use a remote server to process data contained within the partition.
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.)

2. 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 designing a SQL Server Analysis Services (SSAS) cube.
You need to create a measure to count unique customers.
What should you do?

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

3. You are creating a Multidimensional Expressions (MDX) calculation for Projected Revenue in a cube.
For Customer A, Projected Revenue is defined as 150 percent of the Total Sales for the customer. For all other customers, Projected Revenue is defined as 110 percent of the Total Sales for the customer.
You need to calculate the Projected Revenue as efficiently as possible.
Which calculation should you use? (More than one answer choice may achieve the goal.
Select the BEST answer.)

A) Option D
B) Option A
C) Option C
D) Option B

4. DRAG DROP
You are developing a SQL Server Analysis Services (SSAS) cube.
You need to reuse a Revenue measure group from a different database.
In SQL Server Data Tools (SSDT), 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.)

5. You are modifying a star schema data mart that feeds order data from a Microsoft Azure SQL Database database into a SQL Server Analysis Services (SSAS) cube. The data mart contains two large tables that include flags and indicators for some orders. There are 100 different flag columns, each with 10 different indicator values. Some flags reuse indicators. The tables both have a granularity that matches the fact table.
You have the following requirements:
- Allow users to slice data by all flags and indicators. - Modify the date dimension table to include a surrogate key of a numeric data type and add the surrogate key to the fact table. - Use the most efficient design strategy for cube processing and queries.
You need to modify the schema.
What should you do? (More than one answer choice may achieve the goal. Select the BEST answer.)

A) Define the surrogate key as an INT data type. Create a single fact dimension in each table for its flags and indicators.
B) Define the surrogate key as an INT data type. Combine the distinct flag/indicator combinations into a single dimension.
C) Define the surrogate key as a BIGINT data type. Create a single fact dimension in each table for its flags and indicators.
D) Define the surrogate key as a BIGINT data type. Combine the distinct flag/indicator combinations into a single dimension.

Solutions: