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
When reviewing outlier details in linear regression, what factors should be considered when deciding whether to exclude outliers?
- A . The magnitude of the outlier and its impact on the model
- B . The number of outliers in the dataset
- C . The variable roles assigned to outliers
- D . The p-values associated with the outliers
Which modeling technique automatically includes missing values?
- A . Linear regression
- B . Decision tree
- C . Logistic regression
- D . Generalized linear model
How can you apply filters to both visualization and data source in SAS Visual Analytics?
- A . Use the filter pane to apply filters to the visualization
- B . Define filters directly in the data source properties
- C . Use the toolbar options to filter the visualization
- D . Apply filters using the interactive filter dialog in the visualization
How can you interpret the impurity measures in an icicle plot of a decision tree?
- A . Higher impurity indicates better separation of classes.
- B . Lower impurity implies more homogeneity within a leaf node.
- C . Impurity measures are irrelevant in decision tree analysis.
- D . Impurity measures represent the number of data points in a leaf node.
Refer to the exhibit:
Which is the modeling approach that should be used when fitting the Target Gift Amount variable?
- A . Linear regression model with Interaction effects.
- B . Generalized linear model with a Poisson distribution and Identity link.
- C . Generalized linear model with a Normal distribution and Log Link.
- D . Logistic regression model.
How are split points determined in a decision tree?
- A . Randomly assigned
- B . By maximizing information gain or Gini impurity reduction
- C . Based on the order of appearance in the dataset
- D . By minimizing the number of leaf nodes
What do cluster properties refer to in the context of cluster analysis?
- A . Descriptive statistics of individual data points
- B . Characteristics shared by data points within a cluster
- C . The number of clusters in the analysis
- D . A measure of data point centrality
What is the primary purpose of imputing a variable in SAS Visual Analytics?
- A . To remove missing values
- B . To replace incorrect values
- C . To create new variables
- D . To aggregate data
In linear regression modeling, what roles are typically assigned to variables?
- A . Input, Target, and Nominal
- B . Dependent, Independent, and Categorical
- C . Predictor, Response, and Interaction
- D . Intercept, Slope, and Error
In SAS Visual Analytics, what can you use to exclude selections and filter data in a visualization?
- A . Filter containers
- B . Exclude option in filter dialogs
- C . Filtering using the toolbar options
- D . Interactive filters in the visualization