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

A00-255
  • Exam Code: A00-255
  • Exam Name: SAS Predictive Modeling Using SAS Enterprise Miner 14
  • Updated: Aug 05, 2026
  • Q & A: 87 Questions and Answers
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SASInstitute A00-255 Exam Syllabus Topics:

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

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

1. For the variable InqTimeLast, which term best describes the shape of its distribution?
Response:

A) bimodal
B) left skewed
C) right skewed
D) symmetric


2. Refer to the exhibit:

When the Explore button is selected in the graphic, what information will be displayed?
Select one:
Response:

A) Sample Properties, Sample Statistics, sample data with all variables and values, and a histogram of the data for the selected variable
B) Sample Properties, Sample Statistics, sample data for the selected variable, and a pie chart of the selected variable
C) Sample Properties, Sample Statistics for all variables, and sample data for all variables
D) Sample Properties, Sample Statistics, sample data for the selected variable, and a histogram of the data for the selected variable


3. In segment 2, what percentage of GiftAvgCard36 values are between 6.6638 and 11.998?
Select one:
Response:

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


4. 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.
For the validation data, in what range does cumulative percent captured response at the 60th percentile lie?
Response:

A) 0-24.99
B) 75 or more
C) 50-74.99
D) 25-49.99


5. The number of hidden layers in this Neural Network model is which of the following?
Response:

A) 2
B) 3
C) 1
D) 4 or more


Solutions:

Question # 1
Answer: C
Question # 2
Answer: D
Question # 3
Answer: A
Question # 4
Answer: B
Question # 5
Answer: C

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