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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
Data Sources20–25%- Explore and assess data sources
- Modify and prepare source data for modeling
- Create data sources from SAS tables
Building Predictive Models35–40%- Understand predictive modeling concepts
- Build models using neural networks
- Build models using regression techniques
- Build models using decision trees
Pattern Analysis10–15%- Interpret pattern discovery results
- Identify clusters and segments
Predictive Model Assessment and Implementation25–30%- Apply appropriate fit statistics
- Adjust for oversampling and sampling methods
- Evaluate performance via profit/loss and comparison
- Score and deploy models

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

Question #1

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


Question #2

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.
The variable Branch has how many levels?
Response:

A. 19
B. 8
C. 47
D. 12


Question #3

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 (3-way)
B. Neural Network
C. Regression
D. Decision Tree


Question #4

If you only consider observations for which TARGET=0, what percentage of such observations has BanruptcyInd=1?
Response:

A. less than 15%
B. between 50%-79.99%
C. between 15%-49.99%
D. 80% or higher


Question #5

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

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


Solutions:

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

Related Certifications
SAS Certified Specialist
SAS Institute Systems Certification
SAS Visual Business Analytics Specialist
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Natural Language and Computer Vision Specialist
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