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

1. A production SQL Server Analysis Services (SSAS) cube is processed daily. The users query products by using a hierarchy named Products from a dimension named Product.
The DimProduct table in the data source view is used as the source of the Product dimension. The table has the following structure.

The Product dimension has three attribute hierarchies:
---
Product
Subcategory
Category
The attributes have the following relationships defined: Product > Subcategory - Category. Each attribute has a key and a name sourced from the related key and name columns in theDimProduct table.
During processing, you receive the following error message: "Errors in the OLAP storage engine: A duplicate attribute key has been found when processing: Table: 'dbo_DimProducf, Column: 'SubCategoryKey', Value: '23'. The attribute is Subcategory'."
You verify that the data is accurate.
You need to ensure that the dimension processes successfully.
What should you do?

A) Remove the duplicate data from the DimProduct table.
B) Relate the Subcategory and Category attributes directly to the Product attribute.
C) Delete the Products hierarchy.
D) Remove the Subcategory attribute.

2. You need to implement the aggregation designs for the cube.
What should you do?

A) Partition the cube by month.
B) Implement cache warming in SSAS via an SSIS package.
C) Use the Usage-Based Optimization Wizard.
D) Use the Aggregation Design Wizard.

3. 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.

4. 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.)

5. A production SQL Server Analysis Services (SSAS) cube is processed daily. The users query facts by using a hierarchy named Geography from a dimension named Geography.
The DimGeography table in the data source view is used as the source of the Geography dimension. The table has the following structure.

The Geography dimension has three attribute hierarchies:
---
City
State-Province
Country
The attributes have the following relationships defined: City > State-Province > Country. Each attribute has a key and a name sourced from the related key and name columns in the DimGeography table.
During processing, you receive the following error message: "Errors in the OLAP storage engine: A duplicate attribute key has been found when processing: Table: 'dbo_DimGeography, Column: StateProvinceKey', Value: '23'. The attribute is 'State-Province'."
You verify that the data is accurate.
You need to ensure that the dimension processes successfully.
What should you do?

A) Remove the duplicate data from the DimGeography table.
B) Delete the Geography hierarchy.
C) Remove the State-Province attribute.
D) Relate the State-Province and Country attributes directly to the City attribute.

Solutions: