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SASInstitute A00-485 Exam Syllabus Topics:

SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

Question 1

Which SAS tools can be used to score new data using score code generated by SAS Visual Statistics?

A. SAS Data Integration Studio
B. SAS Studio
C. SAS Enterprise Miner
D. SAS Enterprise Guide

Question 2

Given a scenario where the response variable represents the time until an event occurs, what distribution and link function might be appropriate for modeling?

A. Logistic distribution with a logit link function
B. Poisson distribution with a log link function
C. Normal distribution with an identity link function
D. Exponential distribution with a log link function

Question 3

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

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

Question 4

You have a Partition column in your data that takes on values of 0, 1, and 2.
What happens, by default, if you define a Partition data item from this variable?

A. Observations with a value of 0 will be used as Training data.
B. No partition will be used because there are more than two levels.
C. Observations with a value of 1 will be used as Training data.
D. Observations with a value of 2 will be used as Training data.

Question 5

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

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

Solutions: