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

  • Exam Code: A00-255
  • Exam Name: SAS Predictive Modeling Using SAS Enterprise Miner 14
  • Updated: Oct 02, 2026     Q & A: 87 Questions and Answers

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SASInstitute A00-255 Exam Syllabus Topics:

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

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

Question #1

Perform these tasks in SAS Enterprise Miner:
* Add a Decision Tree node, as shown below. (Make sure you use only default options in the Decision Tree node.)

* Run the Decision Tree node.
What percentage of all observations is being correctly predicted in the test data set by the decision tree?
Response:

  • A. 85.2222%
  • B. 84.5212%
  • C. 83.1126%
  • D. 16.8874%
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

Question #2

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

Correct Answer: D  🗳️

Question #3

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

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

Correct Answer: D  🗳️

Question #4

Perform these tasks in SAS Enterprise Miner:
Add a Decision Tree node, as shown below. (Make sure you use only default options in the Decision Tree node.)

Run the Decision Tree node.
Suppose that the data has been oversampled and the probability that TARGET=1 is 0.10 in the population. Incorporate the above scenario and run the Decision Tree node again.
What is the misclassification rate in the validation data set?
Response:

  • A. 0.157016
  • B. 0.10
  • C. 0.162252
  • D. 0.154788
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

Question #5

If the bank wanted to select the best model based on the models' overall performances on the validation data as measured by the average squared error, then the best model is which of the following?
Response:

  • A. Decision Tree
  • B. Decision Tree (3-way)
  • C. Regression
  • D. Neural Network
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

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