COGNOS Cognos 8 BI Metadata Model Developer : BI0-132

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COGNOS BI0-132 Exam Syllabus Topics:

COGNOS Cognos 8 BI Metadata Model Developer Sample Questions:

Question 1

An author creates a Report Studio report that contains Month, Product Line and Revenue. Revenue has a footer to show the overall total. What will the author see in the generated Cognos SQL for the Revenue footer column?

A. XSUM(Sales_Fact.Revenue for Time_Dimension.Month1,Product_Dimension.Product_Line) as Revenue2
B. XSUM(XSUM(Sales_Fact.Revenue for Time_Dimension.Month1,Product_Dimension.Product_Line) at Time_Dimension.Month1,Product_Dimension.Product_Line) as Revenue1
C. XSUM(XSUM(Sales_Fact.Revenue for Time_Dimension.Month1,Product_Dimension.Product_Line) in Time_Dimension.Month1,Product_Dimension.Product_Line) as Revenue
D. XSUM(Sales_Fact.Revenue for Time_Dimension.Month1,Product_Dimension.Product_Line) as Revenue

Question 2

What must a modeler consider when modeling for drill-through between multiple data sources?

A. Drill-through values must be consolidated.
B. Drill-through values must be identifiers.
C. Drill-through values must be conformed.
D. Drill-through values must be cast.

Question 3

In Framework Manager, if a modeler changes the business key for a level in a regular dimension, which of the following may change?

A. Level MUN
B. Level identifier
C. Member MUNs
D. Member aliases

Question 4

In Cognos 8, which of the following is true of multi-fact result sets?

A. Both contiguous and correlated lists cannot have repeating fact values.
B. Both contiguous and correlated lists can have repeating fact values.
C. Only contiguous result sets can have repeating fact values.
D. Only correlated result sets can have repeating fact values.

Question 5

In Framework Manager, why is it recommended that modelers alter the default all-inclusive select statements of data source query subjects as little as possible?

A. To generate the most efficient SQL at run time and simplify model maintenance.
B. To provide authors with access to all columns in a database table which reduces requests to the modeler.
C. To prevent the exclusion of columns from a table that may be required in future reports.
D. To prevent improperly constructed SQL and reduce issues with model documentation and readability.

Solutions: