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SASInstitute A00-485 Exam Syllabus Topics:

SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

Question 1

What is the purpose of implementing score code generated by SAS Visual Statistics?

A. To assess the distribution of residuals in the model
B. To evaluate the performance of the scoring code
C. To calculate the p-values of predictor variables
D. To apply the trained model to new data for predictions

Question 2

What are the benefits of applying filters to both visualization and data source in SAS Visual Analytics?

A. Consistency in data presentation across multiple visualizations
B. Enhanced user experience by providing more interactive filtering options
C. Improved security by restricting access to specific data
D. Increased performance by reducing data retrieval from the source

Question 3

In SAS Visual Analytics, what can you use to choose the best fitting group-by model?

A. Visualization of model residuals
B. Variable Importance
C. Fit statistics such as AIC and BIC
D. Group-by variable with the highest p-value

Question 4

When building a Generalized Linear Model in SAS Visual Statistics, which link function is available?

A. Negative Binomial
B. Log
C. Gaussian
D. Poisson

Question 5

When exporting score code, what information is typically included in the code?

A. The entire training dataset
B. The model parameters and coefficients
C. The distribution of the response variable
D. Instructions for preprocessing new data

Solutions: