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
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 . cluster summary table
- C . cluster matrix plot
- D . parallel coordinates plot
Given a scenario where the response variable represents the time until an event occurs, what distribution and link function might be appropriate for modeling?
- A . Poisson distribution with a log link function
- B . Normal distribution with an identity link function
- C . Exponential distribution with a log link function
- D . Logistic distribution with a logit link function
Which of the following tasks in SAS Visual Analytics involves reducing the granularity of categorical data?
- A . Imputing a variable
- B . Creating a dummy variable
- C . Transforming a variable
- D . Aggregating a measure
When building a cluster analysis in SAS Visual Statistics, which of the following algorithms is commonly used for partitioning data into clusters?
- A . Principal Component Analysis (PCA)
- B . Linear Regression
- C . K-means
- D . Decision Tree
Which statement is true regarding model comparison within SAS Visual Statistics?
- A . Two generalized linear models cannot be compared if they use different underlying distributions.
- B . Two cluster analyses cannot be compared if they have different initial seed assignments.
- C . A logistic regression and a decision tree cannot be compared.
- D . A linear regression and a generalized linear model cannot be compared.
What conditions might make models less comparable in SAS Visual Statistics?
- A . If they use the same dataset and response variable
- B . If they have different learning rates
- C . If they are both logistic regression models
- D . If they have similar AUC values
When evaluating a Misclassification plot, what does it typically show?
- A . The distribution of predictor variables in the dataset
- B . The relationship between two predictor variables
- C . The trade-off between false positives and false negatives at different thresholds
- D . The p-values associated with the predictor variables
What is the primary purpose of reviewing the residual plot in linear regression analysis?
- A . To detect outliers in the predictor variables
- B . To assess the linearity assumption and identify potential issues
- C . To determine the p-value associated with the response variable
- D . To calculate the coefficient of determination (R-squared)
In the context of linear regression, what does the term "linearity" refer to?
- A . The use of a straight line to model relationships
- B . The absence of any relationship between variables
- C . The requirement for variables to be categorical
- D . The use of polynomial functions for modeling
What are some properties that can be defined in a generalized linear regression model?
- A . Coefficients and p-values
- B . Distribution and link function
- C . Number of predictors
- D . Residuals and intercept