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SASInstitute A00-255 Exam Syllabus Topics:

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

1. In segment 2, what percentage of GiftAvgCard36 values are between 6.6638 and 11.998?
Select one:
Response:

A) 47.82%
B) 14.00%
C) 48.59%
D) 13.39%

2. 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) 67%
C) 40%
D) 60%

3. Perform this task using SAS Enterprise Miner:
Continue to use the same diagram. Use an Ensemble node (configure using default options) in SAS Enterprise Miner to combine all four models.
The percentage of observations correctly predicted in the validation data by the Ensemble model is in which of the following ranges?
Response:

A) 90-93.99%-
B) 94% or higher
C) less than 83.99%
D) 84-89.99%

4. The importance of an input variable in predicting a target in an MLP-based neural network can be figured out by which of the following?
Response:

A) none of the above
B) the average of the absolute values of parameter estimates between the input and all of the hidden neurons
C) the highest absolute value of the parameter estimate between the input and any of the hidden neurons
D) the highest absolute value of the parameter estimate between the input and any of the hidden neurons multiplied by the absolute value of the parameter estimate of the hidden neuron

5. Which of the following solves problems for you when you impute missing values?
Response:

A) When you impute a synthetic value, it eliminates the incomplete case problem.
B) When you impute a synthetic value, it replaces missing values with 1 or 0.
C) When you impute a synthetic value, predictive information is retained.
D) When you impute a synthetic value, each missing value becomes an input to the model.

Solutions: