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SASInstitute A00-255 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Model Evaluation and Validation | - Validation and cross-validation techniques - Model performance metrics - Model comparison and selection |
| Exploratory Data Analysis | - Visualization techniques for pattern discovery - Descriptive statistics and data profiling |
| Model Implementation and Deployment | - Model scoring and deployment in SAS Enterprise Miner - Monitoring model performance in production |
| Business Understanding and Analytical Framework | - Define business objectives and analytics goals - Translate business problems into data mining tasks |
| Model Development | - Neural networks and advanced modeling in SAS Enterprise Miner - Regression modeling techniques - Decision trees and ensemble methods |
| Data Understanding and Preparation | - Feature selection and transformation - Handling missing values and outliers - Data cleaning and preprocessing - Data collection and data source identification |
SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 Sample Questions:
Question 1
A multilayer perceptron neural network is using three interval inputs to model one interval target (outcome). The neural network has ten hidden units and one hidden layer. How many weights, including biases are being estimated?
You may use a calculator for this question. On the certification exam, an on-screen calculator is provided for you.
Select one:
Response:
A. 50
B. 51
C. 40
D. 41
Question 2
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. Forward
B. Backward
C. None
D. Stepwise
Question 3
In SAS Enterprise Miner's Decision Tree node, which of the following types of target variable can be used?
Response:
A. all of the above
B. interval
C. nominal with any number of categories
D. binary
Question 4
What is the kurtosis value for the variable TLDel60Cnt24?
Response:
A. less than 10
B. between 14 and 16.99
C. 17 or higher
D. between 10 and 13.99
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.
In the decision tree model, what is the importance of the variable InqCnt06?
Response:
A. less than 0.149999
B. 0.30-0.449999
C. 0.45 or higher
D. 0.15-0.299999
Solutions:
| Question 1 Answer: B | Question 2 Answer: C | Question 3 Answer: A | Question 4 Answer: B | Question 5 Answer: B |
