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SASInstitute A00-255 Exam Syllabus Topics:

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

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

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. 60%
  • C. 140%
  • D. 25%
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

A separate sample has been taken such that the target distribution in the separate sample is different from the target distribution in the original sample.
What should be adjusted?
Select one:
Response:

  • A. confidence intervals
  • B. specificity
  • C. sensitivity
  • D. lift
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

The number of neurons in this Neural Network model is which of the following:
Response:

  • A. 2
  • B. 4 or more
  • C. 1
  • D. 3
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

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. 50-74.99
  • B. 75 or more
  • C. 25-49.99
  • D. 0-24.99
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

For the variable InqCnt06, replace all values over 10.1 with the value 10. How many values are replaced?
Response:

  • A. 150-199
  • B. 0-99
  • C. 200 or higher
  • D. 100-149
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

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