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

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SASInstitute A00-255 Exam Syllabus Topics:

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

Question #1
A multilayer perceptron neural network is using three interval inputs to model one interval target (outcome). The neural network has ten hidden units and one hidden layer. How many weights, including biases are being estimated?
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. 50
C. 51
D. 41

Question #2
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. 6
B. 9
C. 8
D. 3

Question #3
If you only consider observations for which TARGET=0, what percentage of such observations has BanruptcyInd=1?
Response:

A. 80% or higher
B. between 50%-79.99%
C. less than 15%
D. between 15%-49.99%

Question #4
What is the purpose of the Kass (Bonferroni) adjustment in the decision tree split-search algorithm?
Select one:
Response:

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

Question #5
If the bank wanted to select the best model based on which model achieves the highest lift for the third decile in the validation data, then which of the following is the best model?
Response:

A. Decision Tree
B. Neural Network
C. Decision Tree (3-way)
D. Regression

Solutions: