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SASInstitute A00-255 Exam Syllabus Topics:

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

1. For the variable InqCnt06, replace all values over 10.1 with the value 10. How many values are replaced?
Response:

A) 0-99
B) 100-149
C) 150-199
D) 200 or higher

2. 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) 0.162252
B) 0.154788
C) 0.157016
D) 0.10

3. The Chi Square statistic for measuring association between the variables BanruptcyInd and TARGET is which of the following?
Response:

A) between 1.00 and 1.99
B) 3.00 or higher
C) between 2.00 and 2.99
D) less than 1.00

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

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

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

Solutions: