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

1. DRAG DROP
You need to configure the attribute relationship types for the Salesperson dimension.
Which configuration should you use?
To answer, drag the appropriate pair of attributes and attribute relationships from the list to the correct location or locations in the answer area. (Answer choices may be used once, more than once, or not all.)

2. 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.)

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

4. You are developing a SQL Server Reporting Services (SSRS) report that renders in HTML. The report includes a dataset with fields named Description, Price, and Color. The report layout includes a table that displays product details and also includes columns named Description, Price, and Color.
You need to modify the report so that users can sort products by the Price column.
What should you do?

A) Add a group for the Price field.
B) In the Expression dialog box for the Price text box. enter the =SortByFieldslPrice, Value expression.
C) Set the SortExpression property to =Fields!Price. Value for the Price text box.
D) Set the SortExpression property to =Fields!Price. Name for the Price text box.

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

Solutions: