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The SAS Predictive Modeling Using SAS Enterprise Miner 14 exam is suitable for professionals who have experience in data analysis and want to improve their skills in predictive modeling. A00-255 exam is also suitable for professionals who want to obtain the SAS Certified Predictive Modeler Using SAS Enterprise Miner 14 certification. SAS Predictive Modeling Using SAS Enterprise Miner 14 certification is recognized worldwide and demonstrates a professional's expertise in predictive modeling using SAS Enterprise Miner.

SASInstitute A00-255 Certification Exam tests candidates on their ability to use SAS Enterprise Miner 14 to build and evaluate predictive models. Candidates will be tested on their knowledge of data preparation, variable selection, model building, model assessment, and model deployment. A00-255 exam is divided into two parts: a multiple-choice section and a hands-on practical section.

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SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 Sample Questions (Q47-Q52):

NEW QUESTION # 47
Perform these tasks in SAS Enterprise Miner:
- Use the Regression node to build another regression model with TARGET as the dependent variable and all other input variables as independent variables (main effects only).
- Configure the regression model to use Stepwise for Selection Model and Validation Error for Selection Criteri a. Do not change any other property for the regression model.
Consider the variable TLCnt03 in the selected model. Based on the model results, changing this variable by 1 unit will result in which of the following?
Response:

• A. change of odds for TARGET=1 by a factor 0.3457
• B. reduction of odds for TARGET=1 by 0.708
• C. change of odds for TARGET=1 by a factor 0.708
• D. reduction of odds for TARGET=1 by 0.3457

Answer: C

NEW QUESTION # 48
Refer to the exhibit:

The SAS data set credit_customers contains a numeric variable units_sold that holds only the values: 1, 2, 3, 4. Based on the settings provided in the Advanced Advisor Options, what will be the Role and Level of the units_sold variable when the credit_customers data set is created using Advanced Metadata Advisor in the Data Source Wizard?
Select one:
Response:

• A. Role: InputLevel: Nominal
• B. Role: RejectedLevel: Nominal
• C. Role: InputLevel: Interval
• D. Role: IntervalLevel: Input

Answer: A

NEW QUESTION # 49
How many hidden layers are generally needed in an MLP-based neural network to capture a discontinuous relationship between inputs and target?
Response:

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

Answer: B

NEW QUESTION # 50
A multilayer perceptron neural network is using three interval inputs to model one interval target (outcome). The neural network has ten hidden units and one hidden layer. How many weights, including biases are being estimated?
You may use a calculator for this question. On the certification exam, an on-screen calculator is provided for you.
Select one:
Response:

• A. 0
• B. 1
• C. 2
• D. 3

Answer: C

NEW QUESTION # 51
Which model was picked as the best model by SAS Enterprise Miner?
Response:

• A. Decision Tree
• B. Decision Tree (3-way)
• C. Regression
• D. None of the above

Answer: A

NEW QUESTION # 52
......

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