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IBM SPSS Modeler Professional v2 Sample Questions:

1. To score new data using an existing model, the user must:

A) Change the data source and rename the fields so they do not match the names of the fields in original file.
B) Change the data source and develop a new model for that data.
C) Not change the data source and develop a new model for that data.
D) Change the data source and rename the fields as needed to match the names of the fields in original file.

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

3. Which statements are true of the Feature Selection node? (Choose two.)

A) The Input fields can only be continuous measurement.
B) When a Target field is not specified then it will create a generalized output.
C) Input fields can be selected on the basis of importance.
D) The Target fields can be either categorical or continuous measurement.

4. Examine the output generated by the K-Means clustering model.

Study the results of the Distribution node relating the clusters created by K-Means to the outcome (dependent) field current customers; Vol = customers that left; In Vol = customers that were dropped because they did not pay).

A) Improve the international calling plan and rates.
B) Create a"Pay as You Go"plan (pay only for the minutes you use).
C) Improve the local calling plan and rates.
D) Improve the long distance calling plan and rates.

5. True or false: in the PCA/Factor node when doing a Principal Components analysis without rotation, the values reported in the Component Matrix represents the correlation between each field and a factor.

A) True
B) False

Solutions: