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SASInstitute A00-485 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| SAS Visual Statistics Cross-functional Tasks | 22% | - Perform model validation - Filter data used for a model - Prepare data using SAS Visual Analytics - Use interactive group-by functionality |
| Building and Assessing Regression-type Models | 41% | - Perform generalized additive modeling - Perform generalized linear regression modeling - Assess model fit and diagnostics - Perform nonparametric logistic regression modeling - Perform linear regression modeling - Explain concepts of linear models |
| Building and Assessing Segmentation Models | 28% | - Perform supervised segmentation using decision trees - Assess and interpret decision tree performance - Perform unsupervised segmentation using cluster analysis - Analyze and interpret cluster results |
| Model Comparison and Scoring | 9% | - Compare multiple models using fit statistics - Apply models to score new data |
SASInstitute Modeling Using SAS Visual Statistics Sample Questions:
Question 1
Which of the following criteria are commonly used for pruning a decision tree?
A. Maximum leaf nodes
B. Maximum tree height
C. Maximum depth
D. Minimum split count
Question 2
Which statement is true for negative binomial and Poisson regression models?
A. Poisson regression is a special case of negative binomial regression.
B. Poisson regression models are used for count data, and negative binomial models are used for binary responses.
C. Negative binomial models accommodate negative integers while Poisson regression does not.
D. The canonical link function for Poisson regression is the log, while for negative binomial it is the logit.
Question 3
How can you interpret a Tree Map in the context of a decision tree?
A. It visualizes the distribution of data points in leaf nodes.
B. It shows the decision boundaries between classes.
C. It summarizes the performance metrics of the decision tree.
D. It displays the hierarchical structure of the decision tree.
Question 4
What roles can be assigned to variables in logistic regression?
A. Input
B. Target
C. Interval
D. Nominal
Question 5
What does the interactive group-by feature in SAS Visual Analytics allow you to do?
A. Dynamically change the group-by variable during analysis
B. Interactively explore different levels of the group-by variable
C. Apply group-by modeling to multiple measures simultaneously
D. Create subgroups within the group-by variable
Solutions:
| Question 1 Answer: A,C,D | Question 2 Answer: A | Question 3 Answer: A,D | Question 4 Answer: A,B,D | Question 5 Answer: A,B |
