SASInstitute SASInstitute Certification A00-485

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SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

1. What does it mean to prune a decision tree?

A) To convert the decision tree into a random forest model
B) To increase the depth of the tree to improve accuracy
C) To trim branches of the tree to reduce complexity and overfitting
D) To remove all leaf nodes and keep only the root node

2. Cluster Analysis in SAS Visual Statistics is categorized as which type of machine learning?

A) Unsupervised learning
B) Reinforcement learning
C) Semi-supervised learning
D) Supervised learning

3. You would like to see the minimum and maximum values for all of your measures so that you can filter variables as needed.
Which is the most efficient way to do that?

A) Select a histogram object for each measure.
B) Select View Measure Details within the Actions menu to the right of the dataset name.
C) Create aggregated measures using the Min and Max aggregations.
D) Create a calculated item subtracting the Min aggregation from the Max aggregation.

4. When performing linear regression modeling, what is the primary goal of assessing multicollinearity among predictors?

A) To detect non-linear relationships
B) To identify influential outliers
C) To calculate the coefficient of determination (R-squared)
D) To ensure that predictor variables are not highly correlated

5. How can you interpret a Tree Map in the context of a decision tree?

A) It summarizes the performance metrics of the decision tree.
B) It shows the decision boundaries between classes.
C) It displays the hierarchical structure of the decision tree.
D) It visualizes the distribution of data points in leaf nodes.

Solutions: