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SAS Predictive Modeling Using SAS Enterprise Miner 14: A00-255 Exam
"SAS Predictive Modeling Using SAS Enterprise Miner 14", also known as A00-255 exam, is a SASInstitute Certification. With the complete collection of questions and answers, ExamcollectionPass has assembled to take you through 87 Q&As to your A00-255 Exam preparation. In the A00-255 exam resources, you will cover every field and category in SAS Institute SAS Certification helping to ready you for your successful SASInstitute Certification.
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SASInstitute A00-255 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Predictive Model Assessment and Implementation | 25–30% | - Score and deploy models - Apply appropriate fit statistics - Adjust for oversampling and sampling methods - Evaluate performance via profit/loss and comparison |
| Topic 2: Data Sources | 20–25% | - Modify and prepare source data for modeling - Explore and assess data sources - Create data sources from SAS tables |
| Topic 3: Pattern Analysis | 10–15% | - Interpret pattern discovery results - Identify clusters and segments |
| Topic 4: Building Predictive Models | 35–40% | - Build models using neural networks - Build models using regression techniques - Understand predictive modeling concepts - Build models using decision trees |
SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 Sample Questions:
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 0.3457
- C. change of odds for TARGET=1 by a factor 0.708
- D. reduction of odds for TARGET=1 by 0.708
Correct Answer: C 🗳️
Refer to the graphs shown below. The graphs are from a study of response rate to a marketing campaign.
How much more likely are the top 20% of targeted respondents to purchase the product than a randomly selected sample?
Select one:
Response:
- A. 30%
- B. 140%
- C. 25%
- D. 60%
Correct Answer: B 🗳️
Perform these tasks in SAS Enterprise Miner:
- Add a Decision Tree node after the Impute node with TARGET as the dependent variable and all other input variables as independent variables (main effects only). Configure the decision tree to use 1 for Number of Surrogate Rules and Largest for Method in Subtree. Do not change any other property of the Decision Tree node.
- Add another Neural Network node after the decision tree with TARGET as the dependent variable and all other input variables as independent variables (main effects only). Configure the Neural Network model to use Average Error for Model Selection Criterion. Do not change any other property for the Neural Network node. Run the process flow.
The number of input variables being used by the Neural Network model is which of the following?
Response:
- A. 16-20
- B. 11-15
- C. 21 or more
- D. less than or equal to 10
Correct Answer: A 🗳️
A useful concept in logistic regression is the doubling amount. How would you calculate doubling amount for an input variable that has a parameter estimate of b1?
Response:
- A. 2*b1
- B. 2/log(b1)
- C. 0.69/b1
- D. 2*log(b1)
Correct Answer: C 🗳️
The number of hidden layers in this Neural Network model is which of the following?
Response:
- A. 3
- B. 1
- C. 4 or more
- D. 2
Correct Answer: B 🗳️
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