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

"SAS Predictive Modeling Using SAS Enterprise Miner 14", also known as A00-255 exam, is a SASInstitute Certification. With the complete collection of questions and answers, PrepPDF has assembled to take you through 87 Q&As to your A00-255 Exam preparation. In the A00-255 exam resources, you will cover every field and category in SAS Institute SAS Certification helping to ready you for your successful SASInstitute Certification.

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  • Exam Code: A00-255
  • Exam Name: SAS Predictive Modeling Using SAS Enterprise Miner 14
  • Certification Provider: SASInstitute
  • Corresponding Certification: SAS Institute SAS
  • Updated: Aug 29, 2026
  • No. of Questions: 87 Questions & Answers with Testing Engine
  • Download Limit: Unlimited

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SASInstitute A00-255 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Data Sources20–25%- Modify and prepare source data for modeling
- Create data sources from SAS tables
- Explore and assess data sources
Topic 2: Pattern Analysis10–15%- Interpret pattern discovery results
- Identify clusters and segments
Topic 3: Building Predictive Models35–40%- Build models using neural networks
- Understand predictive modeling concepts
- Build models using regression techniques
- Build models using decision trees
Topic 4: Predictive Model Assessment and Implementation25–30%- Score and deploy models
- Apply appropriate fit statistics
- Evaluate performance via profit/loss and comparison
- Adjust for oversampling and sampling methods

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

Question 1

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

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


Question 2

You are building a model to identify fraud. Your model will produce predictions that can be interpreted as the probability of fraud. You will pass on the top 100 scoring cases to management for investigation. Assume that you have sufficient data to hold out a validation and test data set for model evaluation.
Which selection would represent a reasonable ordering of fit statistics (best to worst) for this situation?
Select one:
Response:

A. R-square, AIC, K-S statistic
B. ASE, Lift for the top 10%, ROC index
C. Misclassification rate, ROC index, ASE
D. ROC index, ASE, misclassification rate


Question 3

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

A. 4 or more
B. 2
C. 1
D. 3


Question 4

Refer to the exhibit:

When the Explore button is selected in the graphic, what information will be displayed?
Select one:
Response:

A. Sample Properties, Sample Statistics, sample data for the selected variable, and a pie chart of the selected variable
B. Sample Properties, Sample Statistics, sample data for the selected variable, and a histogram of the data for the selected variable
C. Sample Properties, Sample Statistics, sample data with all variables and values, and a histogram of the data for the selected variable
D. Sample Properties, Sample Statistics for all variables, and sample data for all variables


Question 5

An analyst is performing a market basket analysis (affinity analysis) on the purchase of Shaving Cream and Seltzer Water. The purchase data from a set of 250 customers is shown below:

What is the confidence of the rule "Shaving Cream implies Seltzer Water"? You may use a calculator for this question. On the certification exam, an on-screen calculator is provided for you.
Select one:
Response:

A. 60%
B. 40%
C. 67%
D. 57%


Solutions:

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

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