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

Pass A00-255 Exam Cram

Exam Code: A00-255

Exam Name: SAS Predictive Modeling Using SAS Enterprise Miner 14

Updated: Jul 31, 2026

Q & A: 87 Questions and Answers

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SASInstitute A00-255 Exam Syllabus Topics:
SectionWeightObjectives
Topic 1: Pattern Analysis10-15%- Segmentation and Association Analysis
  • 1. Perform association analysis
  • 2. Perform sequence analysis and market basket analysis
  • 3. Identify clusters using Cluster and Segment Profile nodes
Topic 2: Predictive Model Assessment and Implementation25-30%- Model Deployment
  • 1. Score data sets within Enterprise Miner
- Model Evaluation
  • 1. Use decision processing for oversampling adjustment
  • 2. Select appropriate fit statistics
  • 3. Assess model performance using profit and loss information
  • 4. Compare models using Model Comparison node
Topic 3: Data Sources20-25%- 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 4: Building Predictive Models35-40%- Model Development
  • 1. Build decision tree models
  • 2. Describe predictive modeling concepts and terminology
  • 3. Build regression models
  • 4. Build neural network models
SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 Sample Questions:

1. 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) 47
C) 12
D) 8


2. 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) 13.39%
D) 14.00%


3. Which model was picked as the best model by SAS Enterprise Miner?
Response:

A) Decision Tree
B) None of the above
C) Regression
D) Decision Tree (3-way)


4. Perform this task using SAS Enterprise Miner:
Continue to use the same diagram. Use an Ensemble node (configure using default options) in SAS Enterprise Miner to combine all four models.
The percentage of observations correctly predicted in the validation data by the Ensemble model is in which of the following ranges?
Response:

A) less than 83.99%
B) 94% or higher
C) 90-93.99%-
D) 84-89.99%


5. Assume the Target has an event proportion of 2% in the original data. Which of the following property values should be used in the Sample node of SAS Enterprise Miner to create a sample from that data with a balanced 50/50 split for Target?
Select one:
Response:

A) Sample Method: Stratify and Criterion: Proportional
B) Sample Method: Stratify and Criterion: Equal
C) Sample Method: Random and Criterion: Equal
D) Sample Method: Random and Criterion: Proportional


Solutions:

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

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