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Microsoft 070-460 Exam Syllabus Topics:

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

Question 1

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) multidimensional database.
Users need a time dimension for:
Dates
Delivery dates
Ship dates
---
You need to implement the minimum number of required SSAS objects.
What should you do?

A. Create a dimension. Create regular relationships between the cube dimension and the measure group. Configure the relationships to use different dimension attributes.
B. Add a calculated measure based on an expression that counts members filtered by the Exists and NonEmpty functions.
C. Add a measure group that has one measure that uses the DistinctCount aggregate function.
D. Add a hidden measure that uses the Sum aggregate function. Add a calculated measure aggregating the measure along the time dimension.
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. Use role playing dimensions.
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 several dimensions. Add each dimension to the cube.
I. Create a dimension with one attribute hierarchy. Set the IsAggregatable property to False and then set the DefaultMember property. Use a regular relationship between the dimension and measure group.
J. Add a measure that uses the LastNonEmpty aggregate function. Use a regular relationship between the time dimension and the measure group.
K. 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.
L. Use the Business Intelligence Wizard to define dimension intelligence.
M. Add a measure that uses the DistinctCount aggregate function to an existing measure group.
N. Create a dimension. Then add a cube dimension and link it several times to the measure group.
O. Add a measure that uses the Count aggregate function to an existing measure group.

Question 2

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

Question 3

You are designing a SQL Server Reporting Services (SSRS) report based on a SQL Server Analysis Services (SSAS) cube. The cube is used to measure sales growth by salesperson.
The cube contains a Key Performance Indicator (KPD to show if a salesperson's sales are off target, slightly off target, or on target.
You need to add a report item that visually displays the KPI status value as a red, yellow, or green flag.
Which report item should you add?

A. a Gauge that uses the Radial type
B. an Indicator
C. a Data Bar
D. a Sparkline
E. a Gauge that uses the Linear type

Question 4

You execute the SalesbyCategory report and receive the following error message: "Members, types, or sets must use the same hierarchies in the function."
You need to ensure that the query executes successfully.
Which two actions should you perform? Each correct answer presents part of the solution.

A. Move the Date clause from line 10 to line 08.
B. Move the Date and Product clauses on line 11 to axis
C. Move the Measures clause on line 02 to axis 1.
D. Move the Product clause from line 08 to line 10.

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

Solutions: