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SASInstitute A00-255 Exam Syllabus Topics:
| Section | Objectives |
| Model Implementation and Deployment | - Monitoring model performance in production
- Model scoring and deployment in SAS Enterprise Miner
|
| Exploratory Data Analysis | - Visualization techniques for pattern discovery
- Descriptive statistics and data profiling
|
| Model Development | - Decision trees and ensemble methods
- Neural networks and advanced modeling in SAS Enterprise Miner
- Regression modeling techniques
|
| Business Understanding and Analytical Framework | - Define business objectives and analytics goals
- Translate business problems into data mining tasks
|
| Model Evaluation and Validation | - Model performance metrics
- Model comparison and selection
- Validation and cross-validation techniques
|
| Data Understanding and Preparation | - Handling missing values and outliers
- Feature selection and transformation
- Data collection and data source identification
- Data cleaning and preprocessing
|
SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 Sample Questions:
Question 1
Which method of input selection for regression analysis evaluates the statistical significance of all included inputs after each input is added?
Select one:
Response:
A. Forward
B. Stepwise
C. Simple
D. Backward
Question 2
Choose the correct statement that illustrates Decision Tree Split Search for continuous (interval) inputs:
Select one:
Response:
A. Each unique value has the potential of being the optimal split point.
B. The variable goes through a binning process, the bins are weighted based on the proportion of events in each bin, and then finally tested as an optimal split point.
C. Each unique value has the potential of being the optimal split point, except for the extreme observation.
D. The variable goes through a non-linear transformation, and the transformed variable is used for testing.
Question 3
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. 67%
B. 40%
C. 60%
D. 57%
Question 4
Which of the following sequential selection methods do you use so that SAS Enterprise Miner will look at all variables already included in the model and delete any variable that is not significant at the specified level?
Response:
A. None
B. Forward
C. Stepwise
D. Backward
Question 5
Perform these tasks in SAS Enterprise Miner:
Add a Decision Tree node, as shown below. (Make sure you use only default options in the Decision Tree node.)

Run the Decision Tree node.
Suppose that the data has been oversampled and the probability that TARGET=1 is 0.10 in the population. Incorporate the above scenario and run the Decision Tree node again.
What is the misclassification rate in the validation data set?
Response:
A. 0.154788
B. 0.157016
C. 0.162252
D. 0.10
Solutions:
Question 1 Answer: B | Question 2 Answer: A | Question 3 Answer: D | Question 4 Answer: A | Question 5 Answer: B |