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Updated: Aug 03, 2026
Q & A: 190 Questions and Answers
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| Section | Weight | Objectives |
|---|---|---|
| Model Comparison and Scoring | 9% | - Apply models to score new data - Compare multiple models using fit statistics |
| Building and Assessing Segmentation Models | 28% | - Analyze and interpret cluster results - Perform supervised segmentation using decision trees - Perform unsupervised segmentation using cluster analysis - Assess and interpret decision tree performance |
| SAS Visual Statistics Cross-functional Tasks | 22% | - Filter data used for a model - Perform model validation - Use interactive group-by functionality - Prepare data using SAS Visual Analytics |
| Building and Assessing Regression-type Models | 41% | - Perform generalized additive modeling - Perform nonparametric logistic regression modeling - Perform generalized linear regression modeling - Perform linear regression modeling - Explain concepts of linear models - Assess model fit and diagnostics |
1. What is the purpose of applying a prediction cut-off in model assessment?
A) To calculate the p-values of predictor variables
B) To determine the optimal threshold for classifying outcomes
C) To identify influential data points in the dataset
D) To divide the dataset into training and testing sets
2. During cluster creation, if the Variable Standardization option is selected, where in SAS Visual Statistics can you view the standardization formula?
A) score code
B) parallel coordinates plot
C) cluster summary table
D) cluster matrix plot
3. How can you interpret a Tree Map in the context of a decision tree?
A) It displays the hierarchical structure of the decision tree.
B) It summarizes the performance metrics of the decision tree.
C) It shows the decision boundaries between classes.
D) It visualizes the distribution of data points in leaf nodes.
4. How can predicted values be derived and described in terms of predicted probabilities in SAS Visual Statistics?
A) By summing the residuals of the model
B) By applying the link function to the linear predictor
C) By calculating the mean of the predictor variables
D) By fitting a linear regression model to the data
5. In SAS Visual Analytics, which of the following tasks involves converting a categorical variable into a numerical one?
A) Creating a dummy variable
B) Replacing dirty data
C) Aggregating a measure
D) Transforming a variable
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: A | Question # 3 Answer: A,D | Question # 4 Answer: B | Question # 5 Answer: A |
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