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SASInstitute A00-485 Exam Syllabus Topics:

SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

1. How is prediction typically performed in logistic regression?

A) By estimating the probability of an event for each observation
B) By maximizing the likelihood of the response variable
C) By fitting a straight line through the data points
D) By calculating the mean of the response variable

2. You have a regression model effect that represents the total amount of sales. In addition to that, you would like to create a model effect that represents the average amount of sales.
Which option should you use?

A) Create an aggregated measure using the Sum aggregation of total amount of sales divided by the Sum aggregation of total amount of items sold.
B) Create a calculated item by duplicating the original model effect and changing its default aggregation to Average.
C) Create an aggregated measure using the Avg aggregation on total amount of sales.
D) Create a calculated item that divides total amount of sales by the total amount of items sold.

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

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

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

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

5. When combining multiple categories into fewer levels in SAS Visual Analytics, what technique is often used?

A) Data imputation
B) Principal Component Analysis (PCA)
C) Binning or grouping
D) Variable transformation

Solutions: