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IBM InfoSphere Warehouse V9.5 Sample Questions:

1. An XML file that contains cube model and cube metadata is imported into the Design Studio which is connected to the cubing services repository. Which statement is true regarding adding the cube to a cube server?

A) Do nothing, the cube was defined in the repository when the XML file was imported into theDesign Studio.
B) Export the cube model metadata out of the Design Studio and import it into the cube server.
C) Export the cube model metadata out of the Design Studio and import it into the database that contains the star schema.
D) Choose to deploy the cube directly from the Design Studio.

2. You work for an insurance company and have been asked to help find a way to detect which health care providers may be submitting fraudulent claims. Which mining method would you employ?

A) regression prediction
B) sequences
C) associations
D) clustering

3. Which statement is true about iterator operators?

A) They are used as the first step in application development.
B) They are needed for processing tables that contain slowly changing dimensions.
C) They can be controlled by either variable values or file input.
D) They are used in data flows where a number of tables are combined.

4. A customer wants to include analysis of product sales for their locations at various levels of their product lines and various levels of their geography. Which two schema considerations are necessary to satisfy the requirement? (Choose two.)

A) a product dimension with location attributes
B) a location dimension with product attributes
C) a product dimension with geography hierarchies
D) a location dimension with geography hierarchies
E) a product dimension with product line hierarchies

5. A bank wants to create a target marketing campaign for a particular type of loan by building the demographic profile for customers with this loan type and then selectively targeting the customers with similar profiles that currently do not have this type of loan. Which data mining method should be used to achieve this objective?

A) Associations
B) Classification
C) Clustering
D) Regression

Solutions: