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SASInstitute A00-255 Exam Syllabus Topics:

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

Question 1

What is the purpose of the Kass (Bonferroni) adjustment in the decision tree split-search algorithm?
Select one:
Response:

A. To ensure a non-negative logworth value.
B. To ensure that the choice of split is not influenced by input measurement scale.
C. To reduce the number of surrogate splitting rules.
D. To give categorical inputs a greater chance to be used the split.

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

Question 3

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.
Now suppose that the bank expects to make a profit of $200 USD when TARGET=1, but it expects to lose $25 USD when TARGET=0. Incorporate the above scenario, change the assessment measure of the decision tree to average square error, and then run the Decision Tree node. What is the total profit for the test data set?
Response:

A. less than or equal to 299
B. 300-999
C. 1,000-1,599
D. 1,600 or higher

Question 4

Assume you have two equally appealing logistic regression models. Then, if you have to select only one out of these two models, you should select the one that has which of the following?
Response:

A. smaller value of SBC (Schwarz,s Bayesian criterion)
B. higher value of AIC (Akaike,s information criterion)
C. all of the above
D. smaller value of gamma

Question 5

1. Create a project named Insurance, with a diagram named Explore.
2. Create the data source, DEVELOP, in SAS Enterprise Miner. DEVELOP is in the directory c:\workshop\Practice.
3. Set the role of all variables to Input, with the exception of the Target variable, Ins (1= has insurance, 0= does not have insurance).
4. Set the measurement level for the Target variable, Ins, to Binary.
5. Ensure that Branch and Res are the only variables with the measurement level of Nominal.
6. All other variables should be set to Interval or Binary.
7. Make sure that the default sampling method is random and that the seed is 12345.
What is the mean credit card balance (CCBal) of the customers with a variable annuity?
Response:

A. $0.00
B. $8,711.65
C. $9,586.55
D. $11,142.45

Solutions: