SAS Institute A00-485 Practice Exams
Last updated on Oct 21,2026- Exam Code: A00-485
- Exam Name: Modeling Using SAS Visual Statistics
- Certification Provider: SAS Institute
- Latest update: Oct 21,2026
Which statement is TRUE regarding a generalized additive model (GAM) in SAS Visual Analytics?
- A . GAM assumes a strict linear relationship between the predictors and the response function.
- B . The roughness penalty controls the balance between goodness of fit and the roughness of the spline curve.
- C . Specification of a spline effect is optional.
- D . A larger maximum degrees of freedom for the univariate spline term enforces a less complex fit.
Refer to the fit summary from SAS Visual Statisitcs in the exhibit below.
What can be concluded from the fit summary?
- A . Customer Value Level is not a significant predictor in this model.
- B . Customer Value Level C has no important variables associated with it.
- C . Average Sales is a significant predictor when Customer Value Level = E.
- D . Average Sales is an important predictor when Customer Value Level = C.
When building a predictive model with logistic regression, when should you choose an appropriate link function?
- A . After specifying the number of predictors
- B . After specifying the learning rate
- C . Based on the nature of the response variable and the problem
- D . Before assigning roles to variables
Which assessment feature is available when modeling logistic regression models in SAS Visual Statistics?
- A . ROC Chart
- B . English Rules
- C . Icicle Plot
- D . Logworth
Explain what an icicle plot represents in decision tree analysis.
- A . It displays the hierarchical structure of the decision tree.
- B . It visualizes the distribution of data points in each leaf node.
- C . It shows the feature importance for each variable in the tree.
- D . It summarizes the performance metrics of the decision tree.
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 is randomly distributed across observations
- C . Missing data that provides valuable information about the outcome
- D . Missing data that leads to multicollinearity among predictors
In logistic regression, which variable is typically designated as the "event" variable (binary)?
- A . The predictor variable with the highest p-value
- B . The predictor variable with the lowest p-value
- C . The response variable indicating the event occurrence
- D . The intercept term in the model
How can predicted values be derived and described in terms of predicted probabilities in SAS Visual Statistics?
- A . By calculating the mean of the predictor variables
- B . By fitting a linear regression model to the data
- C . By applying the link function to the linear predictor
- D . By summing the residuals of the model
When specifying Cluster Roles for Cluster Analysis in SAS Visual Statistics, which condition is correct?
- A . Interaction items are allowed.
- B . A target variable is required.
- C . At least two variables are required.
- D . Category items are not allowed.
Assuming the event level is the same for both models, which pair of models can be compared?
A)
B)
C)
D)
- A . Option A
- B . Option B
- C . Option C
- D . Option D