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

1. The selected model, based on the misclassification rate for the validation data, has how many input variables?
Response:

A) 2
B) 3
C) 4 or more
D) 1

2. Which method of input selection for regression analysis evaluates the statistical significance of the total model to see if it improves on the baseline as the variables are added and once no further improvement is made then variable selection ends?
Select one:
Response:

A) Stepwise
B) Simple
C) Forward
D) Backward

3. You are building a model for a marketing campaign. Every responder to the campaign solicitation will generate $471 in gross revenue. The average cost per solicitation is $66. Incorporating the above information in a decision matrix, what would be the decision threshold (probability cutoff) generated in your model?
You may use a calculator for this question. On the certification exam, an on-screen calculator is provided for you.
Select one:
Response:

A) 0.86
B) 0.16
C) 0.20
D) 0.14

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

5. Perform these tasks in SAS Enterprise Miner:
* Add a Decision Tree node, as shown below. (Make sure you use only default options in the Decision Tree node.)

* Run the Decision Tree node.
What is the probability that TARGET=0 for ID=000355 in the training data?
Response:

A) 0.9341825902
B) 0.9220647773
C) 0.077935227
D) 0.0658174098

Solutions: