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SASInstitute A00-255 Exam Syllabus Topics:

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

Question 1

Perform this task using SAS Enterprise Miner:
Continue to use the same diagram. Use an Ensemble node (configure using default options) in SAS Enterprise Miner to combine all four models.
Compare the performance of the ensemble and the four models using average squared error in the validation data. Which is the best model in this comparison?
Response:

A. Regression
B. Ensemble
C. Neural Network
D. Decision Tree

Question 2

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. $11,142.45
C. $8,711.65
D. $9,586.55

Question 3

For the variable InqTimeLast, which term best describes the shape of its distribution?
Response:

A. symmetric
B. left skewed
C. right skewed
D. bimodal

Question 4

What is the variable worth of the PromCntCardAll variable in Segment 1?
Select one:
Response:

A. 0.10844
B. 0.27649
C. 0.24914
D. 0.24169

Question 5

Refer to the exhibit:

What would be the decision threshold (probability cutoff) generated for this decision matrix. You may use a calculator for this question. On the certification exam, an on-screen calculator is provided for you.
Select one:
Response:

A. 0.21
B. 0.27
C. 0.18
D. 0.82

Solutions: