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

  • Exam Code: A00-255
  • Exam Name: SAS Predictive Modeling Using SAS Enterprise Miner 14
  • Updated: Aug 09, 2026
  • Q&As: 87 Questions and Answers

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SASInstitute A00-255 Exam Syllabus Topics:

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

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


2. How many hidden layers are generally needed in an MLP-based neural network to capture a discontinuous relationship between inputs and target?
Response:

A) three or more hidden layers
B) one hidden layer
C) two hidden layers
D) no hidden layer, direct connection between inputs and output is preferred


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

A) 0.24914
B) 0.27649
C) 0.10844
D) 0.24169


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.
The number of input variables being used by the Neural Network model is which of the following?
Response:

A) 11-15
B) 21 or more
C) 16-20
D) less than or equal to 10


5. The Chi Square statistic for measuring association between the variables BanruptcyInd and TARGET is which of the following?
Response:

A) between 2.00 and 2.99
B) less than 1.00
C) between 1.00 and 1.99
D) 3.00 or higher


Solutions:

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

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