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SASInstitute A00-255 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Business Understanding and Analytical Framework | - Define business objectives and analytics goals - Translate business problems into data mining tasks |
| Model Evaluation and Validation | - Validation and cross-validation techniques - Model performance metrics - Model comparison and selection |
| Model Development | - Neural networks and advanced modeling in SAS Enterprise Miner - Decision trees and ensemble methods - Regression modeling techniques |
| Data Understanding and Preparation | - Data cleaning and preprocessing - Handling missing values and outliers - Data collection and data source identification - Feature selection and transformation |
| Exploratory Data Analysis | - Descriptive statistics and data profiling - Visualization techniques for pattern discovery |
| Model Implementation and Deployment | - Model scoring and deployment in SAS Enterprise Miner - Monitoring model performance in production |
SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 Sample Questions:
Question #1
Refer to the exhibit:
When the Explore button is selected in the graphic, what information will be displayed?
Select one:
Response:
A. Sample Properties, Sample Statistics, sample data for the selected variable, and a pie chart of the selected variable
B. Sample Properties, Sample Statistics for all variables, and sample data for all variables
C. Sample Properties, Sample Statistics, sample data with all variables and values, and a histogram of the data for the selected variable
D. Sample Properties, Sample Statistics, sample data for the selected variable, and a histogram of the data for the selected variable
Question #2
For the variable InqCnt06, replace all values over 10.1 with the value 10. How many values are replaced?
Response:
A. 0-99
B. 150-199
C. 100-149
D. 200 or higher
Question #3
The Chi Square statistic for measuring association between the variables BanruptcyInd and TARGET is which of the following?
Response:
A. 3.00 or higher
B. less than 1.00
C. between 2.00 and 2.99
D. between 1.00 and 1.99
Question #4
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. 41
B. 40
C. 51
D. 50
Question #5
Impute the missing values for the variable TLSum using the Tree method. What is the mean of the new variable (with the imputed values)?
Response:
A. 20,000-29,999.99
B. 40,000 or higher
C. less than 19,999.99
D. 30,000-39,999.99
Solutions:
| Question #1 Correct Answer: D | Question #2 Correct Answer: C | Question #3 Correct Answer: D | Question #4 Correct Answer: C | Question #5 Correct Answer: C |
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