SASInstitute A00-255 Exam : SAS Predictive Modeling Using SAS Enterprise Miner 14

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SASInstitute A00-255 Exam Syllabus Topics:

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

Question 1

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. 25%
C. 60%
D. 30%

Question 2

Transformation of input variables to make their distributions more symmetric will likely have what impact in a logistic regression?
Select one:
Response:

A. create convergence problems in maximum likelihood estimation
B. increase the performance of logistic regression
C. decrease the performance of logistic regression
D. neither increase nor decrease the performance of logistic regression

Question 3

Suppose your input variables have missing values. Before running a decision tree with these input variables, you should do which of the following?
Response:

A. impute only class variables using the Tree method but do not impute the interval variables
B. not impute any missing values because trees can handle them.
C. impute only interval variables using the Tree method but do not impute the class variables
D. impute all missing values using the Tree method

Question 4

For an ordinal variable with L levels, the number of possible splits in a decision tree is which of the following?
Response:

A. 2L
B. (L-1)/1
C. 2L-1
D. 2L-1-1

Question 5

Which statement describes the Decision Tree Split Search mechanism for categorical inputs?
Select one:
Response:

A. A clustering mechanism eliminates observations in outlier clusters as potential split points as a first step. Then, for the remaining observations, the average target value is calculated for each level, and then passed on for testing if it is the optimal split point.
B. The average target value is calculated for each level, and then passed on for testing if it is the optimal split point.
C. All levels are weighted and the weights are used for testing.
D. The levels that have target rate of 0 or 100% are re-binned first, then weighted and the weights are used for testing.

Solutions: