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
What is the primary benefit of exporting score code for model deployment?
- A . It allows for model performance assessment on a test dataset.
- B . It enables scoring of new data without the need for SAS Visual Statistics.
- C . It provides insights into the distribution of predictor variables.
- D . It automatically generates new predictor variables.
You want to fit a Poisson regression and use the log link function to predict skin cancer from weather, pollution, and demographic variables. Each row in the data is a geographic region.
The response, Melanoma, is stored as the number of melanoma skin cancer cases in each region. Because some regions have many people and some have few, your data also includes a variable with the region population.
What is the best way to include population in this model?
- A . Add Population as an offset.
- B . Add the log of Population as an offset.
- C . Add Population as an effect.
- D . Add the log of Population as an effect.
How is prediction typically performed in logistic regression?
- A . By calculating the mean of the response variable
- B . By estimating the probability of an event for each observation
- C . By fitting a straight line through the data points
- D . By maximizing the likelihood of the response variable
What does it mean to create dummy variables in SAS Visual Data Builder?
- A . Generating artificial data points
- B . Converting categorical variables into binary variables
- C . Replacing missing values with zeros
- D . Aggregating multiple measures into one variable
In logistic regression modeling, how is the probability of an event typically estimated?
- A . By calculating the mean of the predictor variables
- B . By fitting a linear regression model to the data
- C . By applying the link function to the linear predictor
- D . By assigning roles to variables
After a logistic regression has been created in SAS Visual Statistics, you discover that not all observations were used to create the model.
How would you run the model on all of the data?
- A . Include the correct interaction term.
- B . Include the correct offset term.
- C . Select Informative Missingness on the properties tab.
- D . Select Use Variable Selection on the properties tab.
What can you interpret from the Assessment panel in a decision tree analysis?
- A . The tree’s structural properties, such as depth and number of nodes
- B . The tree’s training and validation performance metrics
- C . The decision boundaries between leaf nodes
- D . The feature importance for each variable in the tree
What is the primary goal of linear models in statistical modeling?
- A . To predict categorical outcomes
- B . To capture non-linear relationships in data
- C . To establish a linear relationship between variables
- D . To classify data into distinct groups
How does SAS Data Integration Studio facilitate scoring new data using exported score code?
- A . By generating score code automatically during ETL processes
- B . By providing a visual interface for connecting to external data sources
- C . By enabling the scheduling of batch scoring jobs
- D . By automatically tuning hyperparameters for scoring
How is a multinomial response variable used in SAS Visual Statistics when building a logistic regression model?
- A . It is used as a predictor variable.
- B . It is used as an event variable.
- C . It is used to define the outcome categories.
- D . It is not used in logistic regression modeling.