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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: Sep 08, 2026

Q & A: 87 Questions and Answers

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SASInstitute A00-255 Exam Syllabus Topics:

SectionWeightObjectives
Predictive Model Assessment and Implementation25-30%- 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
- Model Deployment
  • 1. Score data sets within Enterprise Miner
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
Data Sources20-25%- Prepare Source Data
  • 1. Modify source data
  • 2. Prepare data for predictive modeling
- Create and Explore Data Sources
  • 1. Create data sources from SAS tables in Enterprise Miner
  • 2. Explore and assess data sources
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

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

Question #1

Refer to the exhibit:

The SAS data set retail contains information on the count of retail store sales based on the following item types: bargain, essential, gourmet, and health. Based on the results from the Cluster Profile node, which statement is true?
Select one:
Response:

A. The overall distribution of bargain item sales is approximately normal and Segment 1 contains stores selling fewer than average bargain items.
B. The overall distribution of bargain item sales is left-skewed and Segment 4 contains stores selling fewer than average bargain items.
C. The overall distribution of essential item sales is right skewed and Segment 4 contains stores selling higher than average essential items.
D. The overall distribution of essential item sales is approximately normal and Segment 1 contains stores selling fewer than average essential items.


Question #2

What is the kurtosis value for the variable TLDel60Cnt24?
Response:

A. 17 or higher
B. less than 10
C. between 10 and 13.99
D. between 14 and 16.99


Question #3

What is the average squared error in the training data?
Response:

A. 0.131709
B. 0.133665
C. 0.131583
D. 0.131208


Question #4

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. 60%
B. 140%
C. 25%
D. 30%


Question #5

What percentage of observations in the test data has TARGET=1?
Response:

A. 16.8874
B. 16.5924
C. 16.6627
D. 83.3333


Solutions:

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

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