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
When interpreting a Residual Plot, what does it reveal about the model’s performance?
- A . The distribution of predictor variables in the dataset
- B . The linear relationship between predictors and the response
- C . The presence of any outliers or patterns in prediction errors
- D . The p-values associated with the predictor variables
What are decision tree properties that can be defined during model construction?
- A . The maximum depth of the tree
- B . The minimum number of data points in a leaf node
- C . The learning rate for gradient boosting
- D . The number of neighbors in a k-nearest neighbors model
Which statement is true about performing regressions in SAS Visual Statistics?
- A . You can specify a multinomial classifier as the response variable with linear regression.
- B . You can specify an ordinal classifier as the response variable with linear regression.
- C . You can build neither a linear regression nor a logistic regression with a generalized linear model.
- D . You can build both a linear regression or a logistic regression with a generalized linear model.
Which SAS tool is most suitable for managing explorations and visualizations in a business intelligence context?
- A . SAS Visual Data Builder
- B . SAS Enterprise Guide
- C . SAS Studio
- D . SAS Enterprise Miner
Given a scenario, what condition makes models comparable in SAS Visual Statistics?
- A . If they use different response variables
- B . If they have different sample sizes
- C . If they use the same dataset and response variable
- D . If they use different link functions
What is unsupervised classification in the context of cluster analysis?
- A . Assigning predefined labels to data points
- B . Grouping similar data points together without predefined labels
- C . Using a decision tree for data classification
- D . Creating a scatter plot of data points
When exporting score code, what information is typically included in the code?
- A . The entire training dataset
- B . The model parameters and coefficients
- C . Instructions for preprocessing new data
- D . The distribution of the response variable
When examining the Cluster Summary tab, what information is typically available?
- A . The number of variables in the analysis
- B . Statistics for each cluster, such as mean and standard deviation
- C . The number of iterations performed during clustering
- D . The decision tree structure for each cluster
What is the maximum number of response variables that SAS Visual Statistics allows for a decision tree?
- A . 1
- B . 3
- C . 5
- D . 7
When performing a logistic regression in SAS Visual Statistics, the default prediction cutoff is .50. If you increase the cutoff to .80 then derive predicted values, which statement is the expected outcome?
- A . The predicted events remain unchanged and the predicted probabilities increase.
- B . The predicted events increase and the predicted probabilities remain unchanged.
- C . The predicted events remain unchanged and the predicted probabilities decrease.
- D . The predicted events decrease and the predicted probabilities remain unchanged.