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SASInstitute A00-485 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Building and Assessing Regression-type Models | 41% | - Perform generalized additive modeling - Perform generalized linear regression modeling - Assess model fit and diagnostics - Explain concepts of linear models - Perform linear regression modeling - Perform nonparametric logistic regression modeling |
| Topic 2: 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 |
| Topic 3: Model Comparison and Scoring | 9% | - Apply models to score new data - Compare multiple models using fit statistics |
| Topic 4: SAS Visual Statistics Cross-functional Tasks | 22% | - Use interactive group-by functionality - Perform model validation - Filter data used for a model - Prepare data using SAS Visual Analytics |
SASInstitute Modeling Using SAS Visual Statistics Sample Questions:
How is the KS Statistic typically used when interpreting an ROC chart?
- A. To identify the optimal prediction cut-off threshold
- B. To measure the area under the ROC curve
- C. To evaluate the overall performance of a classification model
- D. To assess the balance between sensitivity and specificity
Correct Answer: D 🗳️
When modeling binary outcomes in a generalized linear model, which distribution and link function combination is commonly used?
- A. Exponential distribution with a square root link function
- B. Poisson distribution with a log link function
- C. Normal distribution with an identity link function
- D. Binomial distribution with a logit link function
Correct Answer: D 🗳️
What is meant by "informative missingness" in the context of linear regression?
- A. Missing data that is unrelated to the outcome variable
- B. Missing data that leads to multicollinearity among predictors
- C. Missing data that is randomly distributed across observations
- D. Missing data that provides valuable information about the outcome
Correct Answer: D 🗳️
Interactions can be created and added to a linear regression model.
Which statement is true about interactions?
- A. The maximum number of interactions allowed in a model is 3.
- B. Each interaction is limited to 3 effects or fewer.
- C. An interaction can be created for a squared category variable.
- D. Measures and categories can be combined to create an interaction.
Correct Answer: D 🗳️
What is the purpose of implementing score code generated by SAS Visual Statistics?
- A. To evaluate the performance of the scoring code
- B. To apply the trained model to new data for predictions
- C. To calculate the p-values of predictor variables
- D. To assess the distribution of residuals in the model
Correct Answer: B 🗳️
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