Purchase SASInstitute : A00-255 Exam Materials and then pass exam easily

Updated: Jul 13, 2026

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

1. How many hidden layers are generally needed in an MLP-based neural network to capture a discontinuous relationship between inputs and target?
Response:

A) two hidden layers
B) three or more hidden layers
C) one hidden layer
D) no hidden layer, direct connection between inputs and output is preferred


2. Perform these tasks in SAS Enterprise Miner:
- Use the Regression node to build another regression model with TARGET as the dependent variable and all other input variables as independent variables (main effects only).
- Configure the regression model to use Stepwise for Selection Model and Validation Error for Selection Criteri a. Do not change any other property for the regression model.
Consider the variable TLCnt03 in the selected model. Based on the model results, changing this variable by 1 unit will result in which of the following?
Response:

A) change of odds for TARGET=1 by a factor 0.3457
B) reduction of odds for TARGET=1 by 0.708
C) reduction of odds for TARGET=1 by 0.3457
D) change of odds for TARGET=1 by a factor 0.708


3. 1. Define a new data source, PatternData, in SAS Enterprise Miner (SAS data set Patterndata.sas7bdat in the zip file distributed with this practice exam).
2. Set the role of all variables to Input, with the exception set the ID variable role to ID.
3. Set the measurement level for all variables to Interval, except:
- Set DemHomeOwner and StatusCatStarAll to Binary.
- Set DemCluster, DemGender, ID, and StatusCat96NK to Nominal.
4. Create a new diagram (name it Section6) within the project labeled Test.
5. Add the data source, PatternData, to this diagram. Make sure the variable roles and measurements are the same as in the table below. (Check the highlighted rows carefully and reset roles/levels as needed.)
6. Connect a Cluster node to the data source.
7. Modify the Cluster node to exclude nominal and binary input variables.
8. Run the Cluster node.

How many clusters are created by the Cluster node?
Response:

A) 9
B) 8
C) 3
D) 6


4. The number of neurons in this Neural Network model is which of the following:
Response:

A) 3
B) 1
C) 4 or more
D) 2


5. Which model was picked as the best model by SAS Enterprise Miner?
Response:

A) None of the above
B) Decision Tree
C) Decision Tree (3-way)
D) Regression


Solutions:

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

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