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70-466 PDF DEMO:

QUESTION NO: 1
You are developing a SQL Server Analysis Services (SSAS) multidimensional project.
A fact table is related to a dimension table named DimScenario by a column named ScenarioKey.
The dimension table contains three rows for the following scenarios:
* Actual
* Budget Q1
* Budget Q3
You need to create a dimension to allow users to view and compare data by scenario.
What should you do?
A. Use role playing dimensions.
B. Use the Business Intelligence Wizard to define dimension intelligence.
C. Add a measure that uses the Count aggregate function to an existing measure group.
D. Add a measure that uses the DistinctCount aggregate function to an existing measure group.
E. Add a measure group that has one measure that uses the DistinctCount aggregate function.
F. Add a calculated measure based on an expression that counts members filtered by the Exists and
NonEmpty functions.
G. Add a hidden measure that uses the Sum aggregate function. Add a calculated measure aggregating the measure along the time dimension.
H. Create several dimensions. Add each dimension to the cube.
I. Create a dimension. Then add a cube dimension and link it several times to the measure group.
J. Create a dimension. Create regular relationships between the cube dimension and the measure group. Configure the relationships to use different dimension attributes.
K. 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.
L. 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.
M. 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.
N. 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.
O. 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.
Answer: K

QUESTION NO: 2
You need to develop the executive reports.
What should you do? (Each correct answer presents part of the solution. Choose ail that apply.)
A. Provide default values for all parameters.
B. Set the data source to use Windows authentication.
C. Remove default values from all parameters.
D. Implement dataset filters to filter data.
E. Set the data source to use stored Windows credentials.
F. Implement dataset query parameters to filter data.
Answer: A,D,E

QUESTION NO: 3
DRAG DROP
You are using Multidimensional Expressions (MDX) to query a SQL Server Analysis Services (SSAS) cube.
You need to compute the aggregate value of the 10 most-ordered produces in the Product Categories hierarchy. The Product level is the lowest in the hierarchy.
Which functions should you use to complete the MDX query? (To answer, drag the appropriate functions from the list of functions to the correct locations in the answer area.)
Answer:
Explanation:
Note:
* Example (order of TopCount and Aggregate):
WITH
SET
[Top25Customers] as
TopCount([Customers].[All Customers].Children, 25.0, [Measures].[Sales]) MEMBER [Customers].[All
Customers].[Rest of Customers] as Aggregate(Except([Customers].[All
Customers].Children,[Top25Customers])) SELECT NON EMPTY {CROSSJOIN([Markets].[All
Markets].Children,{[Measures].Sales})} ON COLUMNS, Union([Top25Customers],{[Customers].[All
Customers].[Rest of Customers]}) ON ROWS from [SteelWheelsSales]
* TopCount: Sorts a set in descending order and returns the specified number of elements with the highest values.
*Aggregate:
Returns a number that is calculated by aggregating over the cells returned by the set expression. If a numeric expression is not provided, this function aggregates each measure within the current query context by using the default aggregation operator that is specified for each measure. If a numeric expression is provided, this function first evaluates, and then sums, the numeric expression for each cell in the specified set.
* Example:
One can extract the leaf members of a parent child hierarchy by asking the descendants of the root member with the following expression: Descendants([Organization].[Organizations].&[1], , LEAVES)
* Incorrect:
/ Not TopSUM: Returns, in order of decreasing rank, the top-most rows of a table whose cumulative total is at least a specified value.

QUESTION NO: 4
You are restructuring an existing cube. One of the measures in the cube is Amount. The Sum aggregation function is used for the Amount measure. The cube includes a dimension named Account and the dimension's Type property is set to Accounts. The Account dimension includes an account type attribute.
You need to ensure that the Amount measure aggregates correctly according to the account type classification. Development effort must be minimized.
What should you do? (More than one answer choice may achieve the goal. Select the BEST answer.)
A. Develop a .NET application that uses Analysis Management Objects (AMO) to change the existing
AggregateFunction property value of the Amount measure to FirstNonEmpty and then use the application.
B. Develop a .NET application that uses Analysis Management Objects (AMO) to change the existing
AggregateFunction property value of the Amount measure to ByAccount and then use the application.
C. Use SQL Server Data Tools to change the AggregateFunction property value of the Amount measure to ByAccount.
D. Add the ByAccount attribute to the account dimension.
Answer: C

QUESTION NO: 5
You are working with multiple tabular models deployed on a single SQL Server Analysis
Services (SSAS) instance.
You need to ascertain the memory consumed by each object in the SSAS instance.
What should you do?
A. Use the $System.discover_object_memory_usage dynamic management view.
B. Use SQL Server Profiler to review session events for active sessions.
C. Use the Usage Based Optimization wizard to design appropriate aggregations.
D. Use the Performance Counter group named Processing.
Answer: A

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Updated: May 28, 2022