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IBM SPSS Modeler Professional v2 Sample Questions:

1. 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))

2. True or false: missing values can be specified in the Source node used to read the data or in the Type node.

A) True
B) False

3. 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.

4. What are the options for defining outliers in the Data Audit node? (Choose two.)

A) Values that represent less than 1% of all values
B) Eigen values greater than 1
C) Inter quartile range
D) Standard deviations from the mean

5. Which node is best suited for revealing relationships between continuous and categorical (nominal, ordinal) fields?

A) Table node
B) Means node
C) Statistics node
D) Distribution node

Solutions: