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

1. Refer to the exhibit:

The SAS data set retail contains information on the count of retail store sales based on the following item types: bargain, essential, gourmet, and health. Based on the results from the Cluster Profile node, which statement is true?
Select one:
Response:

A) The overall distribution of bargain item sales is approximately normal and Segment 1 contains stores selling fewer than average bargain items.
B) The overall distribution of essential item sales is approximately normal and Segment 1 contains stores selling fewer than average essential items.
C) The overall distribution of essential item sales is right skewed and Segment 4 contains stores selling higher than average essential items.
D) The overall distribution of bargain item sales is left-skewed and Segment 4 contains stores selling fewer than average bargain items.

2. 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.
Which of the following variables was used in the decision tree model?
Response:

A) InqFinanceCnt24.
B) IMP_TLSatCnt
C) TLDel90Cnt24
D) TLDel3060Cnt24

3. Refer to the graphs shown below. The graphs are from a study of response rate to a marketing campaign.

How much more likely are the top 20% of targeted respondents to purchase the product than a randomly selected sample?
Select one:
Response:

A) 140%
B) 60%
C) 30%
D) 25%

4. 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) 0.20
C) 0.16
D) 0.14

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

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

Solutions: