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SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 Sample Questions:

1. Perform these tasks in SAS Enterprise Miner:
- Add a Decision Tree node after the Impute node with TARGET as the dependent variable and all other input variables as independent variables (main effects only). Configure the decision tree to use 1 for Number of Surrogate Rules and Largest for Method in Subtree. Do not change any other property of the Decision Tree node.
- Add another Neural Network node after the decision tree with TARGET as the dependent variable and all other input variables as independent variables (main effects only). Configure the Neural Network model to use Average Error for Model Selection Criterion. Do not change any other property for the Neural Network node. Run the process flow.
In the validation data, the lift corresponding to the fourth decile is in which of the following ranges?
Response:

A) 1.75 or more
B) 1.25-.49999
C) 1.5-1.74999
D) 0-1.24999

2. Which of the following is not true about results produced by the Regression node?
Response:

A) Model Information provides you with information that includes the number of target categories and the number of model parameters.
B) Variable Summary information identifies the roles of variables used by the Regression node.
C) Type 3 Analysis of Effects provides you with information about the number of parameters that each input contributes to the model.
D) Fit Statistics can provide information that affects decision predictions, but does not affect estimate predictions.

3. Refer to the exhibit:

The SAS data set credit_customers contains a numeric variable units_sold that holds only the values: 1, 2, 3, 4. Based on the settings provided in the Advanced Advisor Options, what will be the Role and Level of the units_sold variable when the credit_customers data set is created using Advanced Metadata Advisor in the Data Source Wizard?
Select one:
Response:

A) Role: InputLevel: Interval
B) Role: IntervalLevel: Input
C) Role: InputLevel: Nominal
D) Role: RejectedLevel: Nominal

4. Refer to the exhibit:

What would be the decision threshold (probability cutoff) generated for this decision matrix. You may use a calculator for this question. On the certification exam, an on-screen calculator is provided for you.
Select one:
Response:

A) 0.27
B) 0.82
C) 0.21
D) 0.18

5. What is the average squared error in the training data?
Response:

A) 0.131583
B) 0.131709
C) 0.133665
D) 0.131208

Solutions: