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 sourceview to calculate a rolling sum. Add a measure that uses
the Max aggregate function based on the named calculation.
B.
Add a measure group that has one measure that uses the DistinctCount aggregate function.
C.
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.
D.
Create a dimension. Then add a cube dimension andlink it several times to the measure group.
E.
Use role playing dimensions.
F.
Add a calculated measure based on an expression that counts members filtered by the Exists and
NonEmpty functions.
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. Adda calculated measure that uses the MemberValue
attribute property.
H.
Add a hidden measure that uses the Sum aggregate function. Add a calculated measure aggregating the
measure along the time dimension.
I.
Add a measure that uses the DistinctCount aggregate function to an existing measure group.
J.
Create several dimensions. Add each dimension to the cube.
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. Create regular relationships between the cube dimension and the measure group.
Configure the relationships to use different dimension attributes.
M. Use the Business Intelligence Wizard to define dimension intelligence.
N. Add a measure that uses the LastNonEmpty aggregate function. Use a regular relationship between the
time dimension and the measure group.
O. Add a measure that uses the Count aggregate function to an existing measure group.
E
Sorry, E was a reckless choice.
I deduce L should be the correct answer.
http://ms-olap.blogspot.com.au/2010/01/different-granularity-in-single.html
Koala Firstly you said E was correct then what about your second comment?..
Correct answer please…..?
L is correct.
Agree