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IBM SPSS Modeler Professional v2 Sample Questions:

1. True or false: business objectives are the origin & every data mining solution.

A) True
B) False

2. In the Regression node, which option uses all of the input fields in the model regardless of importance or significance?

A) Backwards
B) Stepwise
C) Forwards
D) Enter

3. Assume you have four fields, 4, A, C and D and you wish to find the sum of the values even if there are $null$ missing values in one or more fields. Which expression would accomplish this task?

A) to_real(A) + to_real(B) + to_real(C) + to_real(D)
B) A+B+C+D
C) sum_n([A, B, C, D])
D) Sum_n((ABCIJ))

4. When using the Algorithm method to replace missing values in Data Audit output, which algorithm is used?

A) Neural Net
B) Cox Regression
C) 05.0
D) C&RT

5. Some data mining models such as Neural Net and Support Vector Machine models do not provide equations or rules to help analysts determine how the models use the input fields for prediction. If you have a categorical target field and a continuous input field, which graphing technique could aid with interpretation?

A) Histogram node
B) Plot node
C) Distribution node
D) Evaluation node

Solutions: