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SASInstitute A00-485 Exam Syllabus Topics:

SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

1. What is the primary purpose of concordance statistics in model comparison?

A) To calculate the p-values of predictor variables
B) To measure the balance between sensitivity and specificity
C) To assess the multicollinearity among predictors
D) To evaluate the relationship between two predictor variables

2. What are decision tree properties that can be defined during model construction?

A) The maximum depth of the tree
B) The minimum number of data points in a leaf node
C) The learning rate for gradient boosting
D) The number of neighbors in a k-nearest neighbors model

3. Why are decision trees a useful technique for segmentation?

A) Trees split data into smaller cells which are decreasingly "pure".
B) Trees treat each split cell dependently based on earlier split decisions.
C) Trees split the response into heterogeneous groups, while minimizing the difference in the response of the groups.
D) Trees split the response into homogeneous groups, while maximizing the difference in the response of the groups.

4. When filtering data for a model in SAS Visual Analytics, what can you do to exclude selections and filter data?

A) Define a filter condition using the interactive filter pane
B) Use the exclude option when setting up a filter
C) Apply a data filter on the visualization
D) Specify exclusion criteria in the data source properties

5. Interactions can be created and added to a linear regression model.
Which statement is true about interactions?

A) The maximum number of interactions allowed in a model is 3.
B) An interaction can be created for a squared category variable.
C) Each interaction is limited to 3 effects or fewer.
D) Measures and categories can be combined to create an interaction.

Solutions: