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SASInstitute A00-255 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Exploratory Data Analysis | - Descriptive statistics and data profiling - Visualization techniques for pattern discovery |
| Topic 2: Model Development | - Regression modeling techniques - Neural networks and advanced modeling in SAS Enterprise Miner - Decision trees and ensemble methods |
| Topic 3: Business Understanding and Analytical Framework | - Define business objectives and analytics goals - Translate business problems into data mining tasks |
| Topic 4: Data Understanding and Preparation | - Data collection and data source identification - Handling missing values and outliers - Feature selection and transformation - Data cleaning and preprocessing |
| Topic 5: Model Evaluation and Validation | - Validation and cross-validation techniques - Model comparison and selection - Model performance metrics |
| Topic 6: 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:
1. Multicollinearity in regression refers to which of the following?
Response:
A) non-normality of the target variable
B) high skewness in distributions of input variables
C) non-constant variance of the target variable
D) high correlations among input variables
2. 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.
What is the mean credit card balance (CCBal) of the customers with a variable annuity?
Response:
A) $11,142.45
B) $9,586.55
C) $8,711.65
D) $0.00
3. 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) Backward
B) Stepwise
C) Simple
D) Forward
4. What percentage of observations in the test data has TARGET=1?
Response:
A) 16.5924
B) 83.3333
C) 16.8874
D) 16.6627
5. Open the diagram labeled Practice A within the project labeled Practice A. Perform the following in SAS Enterprise Miner:
1. Set the Clustering method to Average.
2. Run the Cluster node.
What is the Importance statistic for MTGBal (Mortgage Balance)?
Response:
A) 0.42667
B) 0.60485
C) 0.42541
D) 0.32959
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: B | Question # 3 Answer: B | Question # 4 Answer: C | Question # 5 Answer: B |
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