SAS Institute A00-485 Practice Exams
Last updated on Oct 22,2026- Exam Code: A00-485
- Exam Name: Modeling Using SAS Visual Statistics
- Certification Provider: SAS Institute
- Latest update: Oct 22,2026
In SAS Visual Statistics, which role is typically assigned to variables in cluster analysis?
- A . Target
- B . Predictor
- C . Input
- D . Output
When filtering data for a model in SAS Visual Analytics, what can you do to exclude selections and filter data?
- A . Use the exclude option when setting up a filter
- B . Apply a data filter on the visualization
- C . Specify exclusion criteria in the data source properties
- D . Define a filter condition using the interactive filter pane
When interpreting a Misclassification plot in model comparison, what does it typically show?
- A . The performance of models in terms of AUC
- B . The trade-off between false positives and false negatives at different thresholds
- C . The relationship between two predictor variables
- D . The distribution of the response variable
You would like to compare multiple models that you’ve built in SAS Visual Statistics.
Which parameters must be the same for all models being compared? (choose 3)
- A . Data Source
- B . Assessment Bins
- C . Model Type
- D . Event Level
- E . Response Variable
- F . Link Function
Refer to the fit summary from in the exhibit below.
What can be concluded from the fit summary?
- A . Job Type is not a significant predictor in this model.
- B . Job Type = Office has no important variables associated with it.
- C . Debt to income ratio is a significant predictor when Job Type = Mgr.
- D . Debt to income ratio is a significant predictor when Job Type = Sales.
What are the roles that can be assigned in a generalized linear model (GLM)?
- A . Predictor
- B . Target
- C . Intercept
- D . Offset
In a generalized linear model, what is the role of the link function in transforming the linear predictor?
- A . It determines the distribution of the response variable.
- B . It scales the predictor variables.
- C . It ensures that the linear predictor is always positive.
- D . It maps the linear predictor to the range of the response variable.
Given a scenario, what fit statistic can be used to select a champion model in model comparison?
- A . The p-value of the intercept term
- B . The R-squared value
- C . The AUC (Area Under the Curve)
- D . The learning rate of the model
In SAS Visual Analytics, what is the purpose of creating an aggregated measure?
- A . To combine multiple categories into fewer levels
- B . To replace dirty data with missing values
- C . To calculate summary statistics for a measure
- D . To transform a categorical variable into a numerical one
When would you typically use a linear regression model instead of a generalized linear model (GLM)?
- A . When the dependent variable is binary
- B . When there is no assumption of linearity in the data
- C . When dealing with count data
- D . When the goal is to model categorical outcomes