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SAS Certified Predictive Modeler Using SAS Enterprise Miner 14 Practice Exam

SAS Certified Predictive Modeler Using SAS Enterprise Miner 14

SAS Certified Predictive Modeler Using SAS Enterprise Miner 14

For the SAS Certified Predictive Modeler Using SAS Enterprise Miner 14 exam, candidates should have a firm understanding and mastery of the functionalities for predictive modeling available in SAS Enterprise Miner. The exam includes various topics such as preparing data, building predictive models, assessing and implementing models.


Course Structure

The relatable domains and their topics that the SAS Certified Predictive Modeler Using SAS Enterprise Miner 14 exam covers are:

1. Data Sources - 20-25%

Create data sources from SAS tables in Enterprise Miner

Explore and assess data sources

Modify source data

Prepare data to be submitted to a predictive model

2. Building Predictive Models - 35-40%

Describe key predictive modeling terms and concepts

Build predictive models using decision trees

Build predictive models using regression

Build predictive models using neural networks

3. Predictive Model Assessment and Implementation - 25-30%

Use the correct fit statistic for different prediction types

Use decision processing to adjust for oversampling (separate sampling)

Use profit/loss information to assess model performance

Compare models with the MODEL COMPARISON node

Score data sets within Enterprise Miner

4. Pattern Analysis - 10-15%  

Identify clusters of similar data with the CLUSTER and SEGMENT PROFILE nodes

Perform association and sequence analysis (market basket analysis)


Exam Format

  • Exam Name: SAS Certified Predictive Modeler Using SAS Enterprise Miner 14
  • Exam number: A00-255
  • Number of Questions: 55-60
  • Exam Format: Multiple-choice
  • Time Give: 165 minutes 
  • Passing marks: 725; uses a score range from 200 to 1,000 points
  • Exam Fee: $180 USD


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