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SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 - A00-255 real prep

A00-255
  • Exam Code: A00-255
  • Exam Name: SAS Predictive Modeling Using SAS Enterprise Miner 14
  • Updated: Jul 15, 2025
  • Q & A: 87 Questions and Answers
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SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 Sample Questions:

1. An analyst is performing a market basket analysis (affinity analysis) on the purchase of Shaving Cream and Seltzer Water. The purchase data from a set of 250 customers is shown below:

What is the confidence of the rule "Shaving Cream implies Seltzer Water"? You may use a calculator for this question. On the certification exam, an on-screen calculator is provided for you.
Select one:
Response:

A) 40%
B) 57%
C) 67%
D) 60%


2. Which of the following sequential selection methods do you use so that SAS Enterprise Miner will look at all variables already included in the model and delete any variable that is not significant at the specified level?
Response:

A) Stepwise
B) Backward
C) Forward
D) None


3. Which of the following is not true about results produced by the Regression node?
Response:

A) Fit Statistics can provide information that affects decision predictions, but does not affect estimate predictions.
B) Variable Summary information identifies the roles of variables used by the Regression node.
C) Model Information provides you with information that includes the number of target categories and the number of model parameters.
D) Type 3 Analysis of Effects provides you with information about the number of parameters that each input contributes to the model.


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

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


5. 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) 1.75 or more
B) 1.5-1.74999
C) 1.25-.49999
D) 0-1.24999


Solutions:

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

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