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SASInstitute A00-255 Exam Syllabus Topics:

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

1. What is the number of missing values for the TLSum variable in the sample generated by SAS Enterprise Miner?
Response:

A) 0
B) 20-39
C) 1-19
D) 40 or more

2. A separate sample has been taken such that the target distribution in the separate sample is different from the target distribution in the original sample.
What should be adjusted?
Select one:
Response:

A) sensitivity
B) lift
C) confidence intervals
D) specificity

3. What percentage of observations in the test data has TARGET=1?
Response:

A) 16.6627
B) 83.3333
C) 16.8874
D) 16.5924

4. If the bank wanted to select the best model based on the models' overall performances on the validation data as measured by the average squared error, then the best model is which of the following?
Response:

A) Decision Tree
B) Decision Tree (3-way)
C) Regression
D) Neural Network

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.
Suppose that the data has been oversampled and the probability that TARGET=1 is 0.10 in the population. Incorporate the above scenario and run the Decision Tree node again.
What is the misclassification rate in the validation data set?
Response:

A) 0.154788
B) 0.162252
C) 0.157016
D) 0.10

Solutions: