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Microsoft 70-460 Exam Syllabus Topics:

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

2. DRAG DROP
You are designing a dataset for a SQL Server Reporting Services (SSRS) report. The report includes the report items displayed in the following graphic.

The dataset is sourced from a commonly used stored procedure in an inventory data mart hosted in a SQL Azure database.
It returns the status for all products across all storage sites. The report must display data for the storage site that is selected by the Site report parameter. You cannot change the stored procedure code.
You need to filter the dataset to use only data specific to the selected site.
How should you configure the filter?
To answer, drag the appropriate expression or expressions to the correct location or locations in the answer area. (Answer choices may be used once, more than once, or not all.)

3. You create a materialized reference dimension between a dimension named Regions and a measure group named Orders.
You use a table named Customers as a bridge as shown in the exhibit. (Click the Exhibit button.)

You need to ensure that data is updated to reflect any changes in the relationship. The solution must NOT require that the entire cube be reprocessed.
What should you reprocess?

A) The Sales partition
B) The Regions dimension
C) The Customers dimension
D) The Orders partition

4. You need to implement the Customer Sales and Manufacturing data models.
What should you do? (Each correct answer presents a partial solution. Choose all that
apply.)

A) Use the current SSAS instance.
B) Use SQL Server Integration Services (SSIS) to copy the database design to the SSAS instance, and specify tabular mode as the destination.
C) Use SQL Server Data Tools (SSDT) to redevelop and deploy the projects.
D) Use the Database Synchronization Wizard to upgrade the database to tabular mode.
E) Install a new instance of SSAS in tabular mode.

5. 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) 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.
C) Add a measure that uses the DistinctCount aggregate function to an existing measure group.
D) Add a measure group that has one measure that uses the DistinctCount aggregate function.
E) Add a measure that uses the Count aggregate function to an existing measure group.
F) Use the Business Intelligence Wizard to define dimension intelligence.
G) Use role playing dimensions.
H) Create a dimension. Create regular relationships between the cube dimension and the measure group. Configure the relationships to use different dimension attributes.
I) 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.
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 hidden measure that uses the Sum aggregate function. Add a calculated measure aggregating the measure along the time dimension.
L) Add a calculated measure based on an expression that counts members filtered by the Exists and NonEmpty functions.
M) Create several dimensions. Add each dimension to the cube.
N) Create a dimension. Then add a cube dimension and link it several times to the measure group.
O) 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.

Solutions: