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To appear for the SASInstitute A00-255 Certification Exam, candidates must have a strong understanding of SAS programming basics, statistical modeling concepts, and data mining techniques. A00-255 exam focuses on various topics, such as data exploration, data transformation, variable selection, model comparison, and model deployment. Candidates must also have experience working with SAS Enterprise Miner software to analyze and model data effectively. Passing the SASInstitute A00-255 Certification Exam demonstrates that a candidate has the necessary skills and knowledge to use SAS Enterprise Miner effectively for predictive modeling and data analysis.

SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 Sample Questions (Q32-Q37):

NEW QUESTION # 32
What is the purpose of the Kass (Bonferroni) adjustment in the decision tree split-search algorithm?
Select one:
Response:

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

Answer: A

NEW QUESTION # 33
The selected model, based on the misclassification rate for the validation data, has how many input variables?
Response:

A. 0
B. 1
C. 2
D. 4 or more

Answer: B

NEW QUESTION # 34
Sometimes in predictive modeling we build models using a sample that has a primary outcome proportion different from true population proportion. This is usually done when the ratio of primary to secondary outcomes in a binary target variable in the population is close to which of the following?
Response:

A. 1.2
B. 0
C. 0.8
D. 0.05

Answer: D

NEW QUESTION # 35
Look over the output from the Neural Network model. Which of the following statement(s) is (are) true?
Response:

A. The model has too few input variables.
B. The misclassification error for the test data is 0.154255.
C. The optimization for the model has not been completed.
D. All of the above

Answer: C

NEW QUESTION # 36
In SAS Enterprise Miner's Decision Tree node, which of the following types of target variable can be used?
Response:

A. all of the above
B. nominal with any number of categories
C. interval
D. binary

Answer: A

NEW QUESTION # 37
......

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SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 Sample Questions (Q32-Q37):

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