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
Cluster Analysis in SAS Visual Statistics is categorized as which type of machine learning?
- A . Supervised learning
- B . Semi-supervised learning
- C . Unsupervised learning
- D . Reinforcement learning
What is one potential disadvantage of excessively deep decision trees?
- A . Increased interpretability
- B . Overfitting to the training data
- C . Faster prediction times
- D . Greater stability in the model
Refer to the exhibits:
An analyst has created a cluster model based on the settings in Exhibit 1 and chose to derive a cluster ID variable.
Why are there 6 cluster IDs in Exhibit 2 based on these settings?
- A . Cluster Diagram Visible Roles setting is 6.
- B . There are observations with missing values.
- C . Variable Standardization has been chosen.
- D . Parallel Coordinates Visible Roles setting is 6.
When combining multiple categories into fewer levels in SAS Visual Analytics, what technique is often used?
- A . Data imputation
- B . Principal Component Analysis (PCA)
- C . Binning or grouping
- D . Variable transformation
Which statement is true regarding the number of polylines created in a Parallel Coordinates plot during Cluster Analysis?
- A . It is calculated using the number of variables visible in the plot.
- B . It is calculated using the variable with the greatest number of bins.
- C . It cannot exceed 3,000.
- D . It is calculated using the number of variables used in the cluster analysis.
What is one advantage of using SAS Studio to score new data with exported score code?
- A . It requires no additional software installation.
- B . It provides advanced visualization capabilities.
- C . It allows for direct integration with Hadoop clusters.
- D . It automatically optimizes the scoring process.
In decision tree modeling, what is the purpose of setting a minimum split count?
- A . To prevent any splits in the tree
- B . To determine the maximum depth of the tree
- C . To specify the minimum number of data points required to perform a split
- D . To control the learning rate of the model
Refer to the exhibit:
Based on the Validation Data in the Model Comparison output which conclusions are valid? (Choose two.)
- A . Logistic Regression model would be selected at lift=20
- B . Decision Tree model would be selected at lift=5
- C . Logistic Regression model would be selected at lift=5
- D . Decision Tree model would be selected at lift=20
When applying interactive group-by in SAS Visual Analytics, what happens when you select a specific group?
- A . The visualization updates to show data only for the selected group
- B . The selected group is highlighted within the visualization
- C . The other groups are temporarily hidden from the visualization
- D . The measures are aggregated for the selected group
Which of the following are common distributions used in generalized linear models?
- A . Normal
- B . Poisson
- C . Exponential
- D . Logistic