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

Exam Code: A00-255
Exam Name: SAS Predictive Modeling Using SAS Enterprise Miner 14
Updated: Aug 03, 2026
Q&As: 87 Questions and Answers

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SASInstitute A00-255 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Data Sources	20-25%	- 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 2: Pattern Analysis	10-15%	- Segmentation and Association Analysis 1. Identify clusters using Cluster and Segment Profile nodes 2. Perform association analysis 3. Perform sequence analysis and market basket analysis
Topic 3: Building Predictive Models	35-40%	- Model Development 1. Describe predictive modeling concepts and terminology 2. Build regression models 3. Build neural network models 4. Build decision tree models
Topic 4: Predictive Model Assessment and Implementation	25-30%	- Model Deployment 1. Score data sets within Enterprise Miner - Model Evaluation 1. Select appropriate fit statistics 2. Use decision processing for oversampling adjustment 3. Assess model performance using profit and loss information 4. Compare models using Model Comparison node

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

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

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

2. Assume you have two equally appealing logistic regression models. Then, if you have to select only one out of these two models, you should select the one that has which of the following?
Response:

A) smaller value of gamma
B) higher value of AIC (Akaike,s information criterion)
C) smaller value of SBC (Schwarz,s Bayesian criterion)
D) all of the above

3. 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.
What is the mean credit card balance (CCBal) of the customers with a variable annuity?
Response:

A) $8,711.65
B) $11,142.45
C) $9,586.55
D) $0.00

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

A) 1-10
B) none
C) 21 or higher
D) 11-20

5. Open the diagram labeled Practice A within the project labeled Practice A. Perform the following in SAS Enterprise Miner:

1. Set the Clustering method to Average.
2. Run the Cluster node.
What is the Importance statistic for MTGBal (Mortgage Balance)?
Response: