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

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

2. A separate sample has been taken such that the target distribution in the separate sample is different from the target distribution in the original sample.
What should be adjusted?
Select one:
Response:

A) confidence intervals
B) lift
C) specificity
D) sensitivity

3. Multicollinearity in regression refers to which of the following?
Response:

A) non-constant variance of the target variable
B) high skewness in distributions of input variables
C) high correlations among input variables
D) non-normality of the target variable

4. What is the average squared error in the training data?
Response:

A) 0.133665
B) 0.131709
C) 0.131583
D) 0.131208

5. Open the diagram labeled Practice A within the project labeled Practice A. Perform the following in SAS Enterprise Miner:

1. Set the Clustering method to Average.
2. Run the Cluster node.
What is the Cubic Clustering Criterion statistic for this clustering?
Response:

A) 5862.76
B) 67409.93
C) 14.69
D) 5.00

Solutions: