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

  • Exam Code: A00-255
  • Exam Name: SAS Predictive Modeling Using SAS Enterprise Miner 14
  • Updated: Jun 07, 2026
  • Q & A: 87 Questions and Answers

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

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

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

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


2. In segment 2, what percentage of GiftAvgCard36 values are between 6.6638 and 11.998?
Select one:
Response:

A) 14.00%
B) 48.59%
C) 13.39%
D) 47.82%


3. You are building a model for a marketing campaign. Every responder to the campaign solicitation will generate $471 in gross revenue. The average cost per solicitation is $66. Incorporating the above information in a decision matrix, what would be the decision threshold (probability cutoff) generated in your model?
You may use a calculator for this question. On the certification exam, an on-screen calculator is provided for you.
Select one:
Response:

A) 0.14
B) 0.86
C) 0.16
D) 0.20


4. Perform these tasks in SAS Enterprise Miner:
- Add a Decision Tree node after the Impute node with TARGET as the dependent variable and all other input variables as independent variables (main effects only). Configure the decision tree to use 1 for Number of Surrogate Rules and Largest for Method in Subtree. Do not change any other property of the Decision Tree node.
- Add another Neural Network node after the decision tree with TARGET as the dependent variable and all other input variables as independent variables (main effects only). Configure the Neural Network model to use Average Error for Model Selection Criterion. Do not change any other property for the Neural Network node. Run the process flow.
In the validation data, the lift corresponding to the fourth decile is in which of the following ranges?
Response:

A) 0-1.24999
B) 1.75 or more
C) 1.25-.49999
D) 1.5-1.74999


5. For the variable TLCnt24, apply a Max Normal transformation. What transformation was selected by SAS Enterprise Miner?
Response:

A) Square Root
B) Square
C) Log
D) Exponential


Solutions:

Question # 1
Answer: A
Question # 2
Answer: B
Question # 3
Answer: A
Question # 4
Answer: D
Question # 5
Answer: A

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