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SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

1. Refer to the exhibit:

Based on the Validation Data in the Model Comparison output which conclusions are valid? (Choose two.)

A) Decision Tree model would be selected at lift=5
B) Logistic Regression model would be selected at lift=5
C) Logistic Regression model would be selected at lift=20
D) Decision Tree model would be selected at lift=20

2. In SAS Visual Statistics, which role is typically assigned to variables in cluster analysis?

A) Target
B) Predictor
C) Output
D) Input

3. A champion model has been selected and you want to export the score code.
Score code is exported as:

A) C
B) PMML
C) SAS Data Step
D) SAS DS2

4. Which statement is true about performing regressions in SAS Visual Statistics?

A) You can specify a multinomial classifier as the response variable with linear regression.
B) You can specify an ordinal classifier as the response variable with linear regression.
C) You can build neither a linear regression nor a logistic regression with a generalized linear model.
D) You can build both a linear regression or a logistic regression with a generalized linear model.

5. What are decision tree properties that can be defined during model construction?

A) The maximum depth of the tree
B) The learning rate for gradient boosting
C) The number of neighbors in a k-nearest neighbors model
D) The minimum number of data points in a leaf node

Solutions: