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
You have a Partition column in your data that takes on values of 0, 1, and 2.
What happens, by default, if you define a Partition data item from this variable?
- A . Observations with a value of 0 will be used as Training data.
- B . Observations with a value of 1 will be used as Training data.
- C . Observations with a value of 2 will be used as Training data.
- D . No partition will be used because there are more than two levels.
Refer to the exhibit:
Which option was not specified in creating the linear regression model using SAS Visual Statistics?
- A . interaction term
- B . group-by variable
- C . variable selection
- D . continuous effects
What is the primary purpose of scoring functionality in SAS Visual Statistics?
- A . To evaluate model performance on a test dataset
- B . To generate code for deploying models in production
- C . To assess the distribution of predictor variables
- D . To select the best model for a given dataset
What is the purpose of applying a prediction cut-off in model assessment?
- A . To divide the dataset into training and testing sets
- B . To identify influential data points in the dataset
- C . To determine the optimal threshold for classifying outcomes
- D . To calculate the p-values of predictor variables
How is the KS Statistic typically used when interpreting an ROC chart?
- A . To measure the area under the ROC curve
- B . To assess the balance between sensitivity and specificity
- C . To identify the optimal prediction cut-off threshold
- D . To evaluate the overall performance of a classification model
Given an Influence Plot generated in a Linear Regression within SAS Visual Statistics, which diagnostic can be used to quantify leverage?
- A . Likelihood Displacement
- B . AIC
- C . Adjusted R-Squared
- D . Concordance
Refer to the exhibit:
Prior to performing a decision tree analysis, you need to assess the default Values of Classification and Model Type Properties for Sale Amount. The variable represents product purchase amounts from an organization’s e-commerce website.
How do you want the decision tree algorithm to treat this variable?
- A . Classification = Measure & Model Type = Continuous
- B . Classification = Category & Model Type = Discrete
- C . Classification = Measure & Model Type = Discrete
- D . Classification = Category & Model Type = Continuous
Which SAS tools can be used to score new data using score code generated by SAS Visual Statistics?
- A . SAS Enterprise Miner
- B . SAS Studio
- C . SAS Enterprise Guide
- D . SAS Data Integration Studio
Which statement is true for the Informative Missingness property in SAS Visual Statistics?
- A . Missing values are imputed and indicator variables are created for missing predictors.
- B . Missing values are flagged on diagnostic plots.
- C . A table of missingness patterns for the predictor variables is displayed in the model output.
- D . The user is prompted to fill in a value to impute for missing predictor variables.
You want to build a model that predicts whether a customer will default on a loan assuming an underlying binomial distribution.
Which model within SAS Visual Statistics would you use?
- A . generalized linear model using the binomial distribution and the log link function
- B . logistic regression model using the Probit link function
- C . logistic regression model using the Tobit link function
- D . logistic regression model using the Logit link function