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SASInstitute A00-485 Exam Syllabus Topics:

SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

1. 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 automatically generates new predictor variables.
C) It enables scoring of new data without the need for SAS Visual Statistics.
D) It provides insights into the distribution of predictor variables.

2. Refer to the exhibit:

Which is the modeling approach that should be used when fitting the Target Gift Amount variable?

A) Linear regression model with Interaction effects.
B) Generalized linear model with a Normal distribution and Log Link.
C) Generalized linear model with a Poisson distribution and Identity link.
D) Logistic regression model.

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) Two generalized linear models cannot be compared if they use different underlying distributions.
C) A linear regression and a generalized linear model cannot be compared.
D) A logistic regression and a decision tree cannot be compared.

4. When reviewing Measure Details in SAS Visual Analytics, what information can you find related to measures?

A) Measure calculation method
B) Measure data type
C) Measure name and label
D) Measure format and informat

5. What is meant by "informative missingness" in the context of linear regression?

A) Missing data that is unrelated to the outcome variable
B) Missing data that is randomly distributed across observations
C) Missing data that provides valuable information about the outcome
D) Missing data that leads to multicollinearity among predictors

Solutions: