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

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

2. 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

3. Assume in a data mining project that the task is to predict rankings of a target variable as accurately as possible. Which of the following should be used to judge prediction models?
Response:

A) KS statistic
B) Gini coefficient
C) average squared error
D) misclassification

4. Which of the following is not a good reason to"regularize" input distributions using a simple transformation?
Response:

A) One benefit is improved model performance.
B) Another benefit is ease in model interpretation.
C) When you perform regression, inputs with highly skewed or highly kurtotic distributions can be selected over inputs that would yield better overall predictions.
D) Regression models are sensitive to extreme or outlying values in the input space.

5. Assume you have two equally appealing logistic regression models. Then, if you have to select only one out of these two models, you should select the one that has which of the following?
Response:

A) higher value of AIC (Akaike,s information criterion)
B) smaller value of SBC (Schwarz,s Bayesian criterion)
C) all of the above
D) smaller value of gamma

Solutions: