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SASInstitute A00-255 Exam : SAS Predictive Modeling Using SAS Enterprise Miner 14

A00-255 actual test
  • Exam Code: A00-255
  • Exam Name: SAS Predictive Modeling Using SAS Enterprise Miner 14
  • Updated: Oct 14, 2026
  • Q & A: 87 Questions and Answers
  • PDF Demo
  • PC Test Engine
  • Online Test Engine
  • Total Price: $59.99  

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SASInstitute A00-255 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Building Predictive Models35-40%- Model Development
  • 1. Build regression models
  • 2. Build decision tree models
  • 3. Build neural network models
  • 4. Describe predictive modeling concepts and terminology
Topic 2: Data Sources20-25%- Prepare Source Data
  • 1. Prepare data for predictive modeling
  • 2. Modify source data
- Create and Explore Data Sources
  • 1. Create data sources from SAS tables in Enterprise Miner
  • 2. Explore and assess data sources
Topic 3: Predictive Model Assessment and Implementation25-30%- Model Evaluation
  • 1. Assess model performance using profit and loss information
  • 2. Use decision processing for oversampling adjustment
  • 3. Compare models using Model Comparison node
  • 4. Select appropriate fit statistics
- Model Deployment
  • 1. Score data sets within Enterprise Miner
Topic 4: Pattern Analysis10-15%- Segmentation and Association Analysis
  • 1. Perform sequence analysis and market basket analysis
  • 2. Perform association analysis
  • 3. Identify clusters using Cluster and Segment Profile nodes

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

Question #1

Consider a binary target variable. Assume Accuracy is the desired assessment measure. Accuracy is not an option in the Decision Tree node. Which assessment measure can you use as a proxy for accuracy?
Select one:
Response:

  • A. Total Profit
  • B. Mean Square Error
  • C. 1 - Misclassification Rate
  • D. Average Squared Error
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

Question #2

Which method of input selection for regression analysis evaluates the statistical significance of the total model to see if it improves on the baseline as the variables are added and once no further improvement is made then variable selection ends?
Select one:
Response:

  • A. Backward
  • B. Stepwise
  • C. Simple
  • D. Forward
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

Question #3

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. less than or equal to 10
  • B. 11-15
  • C. 21 or more
  • D. 16-20
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

Question #4

How many unique indicator variables were created during imputation?
Response:

  • A. none
  • B. 1-10
  • C. 21 or higher
  • D. 11-20
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

Question #5

1. Create a project named Insurance, with a diagram named Explore.
2. Create the data source, DEVELOP, in SAS Enterprise Miner. DEVELOP is in the directory c:\workshop\Practice.
3. Set the role of all variables to Input, with the exception of the Target variable, Ins (1= has insurance, 0= does not have insurance).
4. Set the measurement level for the Target variable, Ins, to Binary.
5. Ensure that Branch and Res are the only variables with the measurement level of Nominal.
6. All other variables should be set to Interval or Binary.
7. Make sure that the default sampling method is random and that the seed is 12345.
The variable Branch has how many levels?
Response:

  • A. 19
  • B. 12
  • C. 47
  • D. 8
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

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