SASInstitute Certification A00-485

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SASInstitute A00-485 Exam Syllabus Topics:

SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

1. What information can you gather from Leaf statistics in a decision tree analysis?

A) The total number of data points in each leaf node
B) The distribution of target variable values in each leaf node
C) The tree's decision rules for each leaf node
D) The tree's overall accuracy and error rate

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

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

3. Which statement is true regarding model comparison within SAS Visual Statistics?

A) Two cluster analyses cannot be compared if they have different initial seed assignments.
B) A linear regression and a generalized linear model cannot be compared.
C) A logistic regression and a decision tree cannot be compared.
D) Two generalized linear models cannot be compared if they use different underlying distributions.

4. When building a predictive model with logistic regression, when should you choose an appropriate link function?

A) After specifying the number of predictors
B) Based on the nature of the response variable and the problem
C) Before assigning roles to variables
D) After specifying the learning rate

5. What is the primary purpose of scoring functionality in SAS Visual Statistics?

A) To assess the distribution of predictor variables
B) To select the best model for a given dataset
C) To evaluate model performance on a test dataset
D) To generate code for deploying models in production

Solutions: