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

  • Exam Code: A00-255
  • Exam Name: SAS Predictive Modeling Using SAS Enterprise Miner 14
  • Updated: Oct 10, 2026
  • Q&As: 87 Questions and Answers

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SASInstitute A00-255 Exam Syllabus Topics:

SectionObjectives
Topic 1: Model Development- Neural networks and advanced modeling in SAS Enterprise Miner
- Decision trees and ensemble methods
- Regression modeling techniques
Topic 2: Exploratory Data Analysis- Descriptive statistics and data profiling
- Visualization techniques for pattern discovery
Topic 3: Model Evaluation and Validation- Model performance metrics
- Validation and cross-validation techniques
- Model comparison and selection
Topic 4: Model Implementation and Deployment- Monitoring model performance in production
- Model scoring and deployment in SAS Enterprise Miner
Topic 5: Data Understanding and Preparation- Feature selection and transformation
- Data cleaning and preprocessing
- Data collection and data source identification
- Handling missing values and outliers
Topic 6: Business Understanding and Analytical Framework- Translate business problems into data mining tasks
- Define business objectives and analytics goals

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

Question #1

What is the variable worth of the PromCntCardAll variable in Segment 1?
Select one:
Response:

  • A. 0.10844
  • B. 0.24169
  • C. 0.27649
  • D. 0.24914
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

Question #2

The selected model, based on the misclassification rate for the validation data, has how many input variables?
Response:

  • A. 2
  • B. 1
  • C. 4 or more
  • D. 3
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

Question #3

Assume a variable is coded as follows: 1=unmarried, 2=married, 3=divorced, and 4=widowed. Then which of the following measurement levels should be selected in SAS Enterprise Miner for this variable?
Response:

  • A. Interval
  • B. Nominal
  • C. Unary
  • D. Ordinal
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

Question #4

Perform these tasks in SAS Enterprise Miner:
- Add a Decision Tree node after the Impute node with TARGET as the dependent variable and all other input variables as independent variables (main effects only). Configure the decision tree to use 1 for Number of Surrogate Rules and Largest for Method in Subtree. Do not change any other property of the Decision Tree node.
- Add another Neural Network node after the decision tree with TARGET as the dependent variable and all other input variables as independent variables (main effects only). Configure the Neural Network model to use Average Error for Model Selection Criterion. Do not change any other property for the Neural Network node. Run the process flow.
How many leaves are there in the decision tree?
Response:

  • A. 11-15
  • B. 1-10
  • C. 21 or more
  • D. 16-20
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

Question #5

Assume that a company has an excellent customer segmentation in place and the segment scheme is a variable in the input data set. What is the best partition method that one should use?
Select one:
Response:

  • A. Systemic
  • B. Cluster
  • C. Random
  • D. Stratify
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

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