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SPSS IBM SPSS Modeler Professional Certification Sample Questions:

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

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

2. The Feature Selection node is used for what reasons? (Select all that apply)

A) Screens input fields for problems such as missing data.
B) Ranks the model by importance.
C) Selects the best input fields for model.
D) Selects the best fitting model

3. Using the Linear node, what are the advantages of creating a standard model without boosting or bagging? (Select all that apply)

A) Easier interpretation
B) Faster to score
C) None of the above
D) Higher accuracy

4. Consider the Filer node where age of respondent is stored as a string. What operations will the replace with: expression accomplishes?

A) Users @ FIELD to create a new field.
B) Converts numeric values to integers and converts non-numeric values to $null$ value.
C) The expression is not a valid operation.
D) Converts numeric values to integers and leaves the non-numeric as is.

5. Examine the Matrix table shown below which relates the field churn (whether a customer will churn) to age cat (age groups).

Based on the table, which statements are accurate? (Select all that apply)

A) 1.768% of those that churn are over 65 years of age.
B) Older age groups are less likely to churn than the younger ages.
C) 42.283% of the 18-24 year old will churn.
D) Measured by Chi-square is a weak relationship.

Solutions: