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 model assessment, why might you need to assess residuals and other model diagnostics to choose an appropriate distribution and link function?
- A . To calculate the p-values of predictor variables
- B . To determine the order of predictor variables in the model
- C . To ensure that predictor variables are not highly correlated
- D . To verify if the chosen model assumptions are met and make adjustments if necessary
What does adding an interaction effect in linear regression modeling allow you to capture?
- A . The joint impact of two or more predictors on the response variable
- B . The presence of outliers in the data
- C . The multicollinearity among predictors
- D . The effect of missing data on the model
What does the Variable Importance feature help with when choosing the best fitting group-by model?
- A . Identifying the most influential predictors
- B . Assessing the significance of each predictor
- C . Evaluating the multicollinearity among predictors
- D . Understanding the distribution of the target variable
What is the primary purpose of choosing an appropriate distribution in a generalized linear model?
- A . To simplify the model’s mathematical formulation
- B . To control the significance level of predictor variables
- C . To accurately reflect the nature of the response variable’s distribution
- D . To determine the number of predictors in the model
What are the benefits of applying filters to both visualization and data source in SAS Visual Analytics?
- A . Increased performance by reducing data retrieval from the source
- B . Consistency in data presentation across multiple visualizations
- C . Improved security by restricting access to specific data
- D . Enhanced user experience by providing more interactive filtering options
You want to filter out certain observations to analyze their effect on the model.
Which windows will achieve this? (Choose two.)
- A . Fit Summary
- B . Residual Plot
- C . Assessment
- D . Influence Plot
When setting proper inputs for the k-means algorithm, what parameter represents the number of clusters to create?
- A . Learning rate
- B . Random seed
- C . Cluster centroid initialization
- D . K-value
What are some properties that can be defined in a linear regression model?
- A . Learning rate and number of iterations
- B . Coefficients, p-values, and R-squared
- C . Maximum depth and minimum leaf size
- D . Confusion matrix and accuracy
Your company has a dataset that represents global sales. You are a part of a team of analysts that each have responsibility for a certain region of the world. You decide to create a data source filter to suppress every region but yours.
What effect will this have on any new explorations that your teammates create?
- A . It will delete all observations that do not match your region.
- B . It will have no effect on any observations in the dataset.
- C . It will suppress all observations that do not match your region.
- D . It will suppress all observations that do not match their corresponding region.
You perform a logistic regression on a multinomial response variable in SAS Visual Statistics that has 3 levels: Small, Medium, Large. "Large" is specified as the event.
Which statement is true?
- A . The other levels are grouped into one non-event.
- B . An ordinal logistic regression is performed.
- C . A multinomial logistic regression is performed.
- D . The other levels are offset to account for exposure.