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SASInstitute A00-255 certification exam is a globally recognized certification that will help you progress in your data career. It confirms that you have the necessary skills and knowledge to handle complex data scenarios to enable data-driven decisions. Additionally, the certification demonstrates your expertise in predictive modeling techniques and your ability to use SAS Enterprise Miner to perform these techniques. Therefore, the SASInstitute A00-255 certification increases your chance of getting hired for advanced data analytics roles or getting promoted within your organization.

SASInstitute A00-255 certification exam is a valuable credential for professionals who want to demonstrate their expertise in predictive modeling using SAS Enterprise Miner 14. A00-255 Exam Tests the candidate's knowledge and skills in data preparation, data exploration, variable selection, modeling techniques, model assessment, and deployment. Certification provides a competitive advantage in the job market and demonstrates a commitment to excellence in the field of data analytics.

SASInstitute A00-255 exam consists of 70 multiple-choice and short-answer questions that need to be completed within 2 hours and 15 minutes. A00-255 exam evaluates the individual's ability to use SAS Enterprise Miner to develop predictive models, including data preparation, variable selection, model building, and model assessment. A00-255 exam also covers the interpretation and communication of results.

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SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 Sample Questions (Q70-Q75):

NEW QUESTION # 70
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.
Compare the performance of the ensemble and the four models using average squared error in the validation data. Which is the best model in this comparison?
Response:

A. Regression
B. Neural Network
C. Decision Tree
D. Ensemble

Answer: D

NEW QUESTION # 71
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. smaller value of SBC (Schwarz,s Bayesian criterion)
B. all of the above
C. smaller value of gamma
D. higher value of AIC (Akaike,s information criterion)

Answer: A

NEW QUESTION # 72
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. 0.05
B. 1.2
C. 0.8
D. 0

Answer: A

NEW QUESTION # 73
In segment 2, what percentage of GiftAvgCard36 values are between 6.6638 and 11.998?
Select one:
Response:

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

Answer: C

NEW QUESTION # 74
Which of the following sequential selection methods do you use so that SAS Enterprise Miner will look at all variables already included in the model and delete any variable that is not significant at the specified level?
Response:

A. None
B. Stepwise
C. Backward
D. Forward

Answer: A

NEW QUESTION # 75
......

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