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SASInstitute A00-485 Exam Syllabus Topics:

SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

1. When modeling binary outcomes in a generalized linear model, which distribution and link function combination is commonly used?

A) Exponential distribution with a square root link function
B) Binomial distribution with a logit link function
C) Normal distribution with an identity link function
D) Poisson distribution with a log link function

2. Which modeling technique automatically includes missing values?

A) Logistic regression
B) Linear regression
C) Generalized linear model
D) Decision tree

3. How are predictions formulated for a decision tree when a new data point is presented to the model?

A) By calculating the Euclidean distance to all tree nodes and selecting the closest one
B) By averaging the values of all leaf nodes
C) By following a path through the tree to a leaf node and returning the majority class or mean value of that node
D) By using a weighted sum of all decision rules in the tree

4. Which model does not produce score code?

A) Regression using the group by option
B) Regression using interaction effects
C) Decision Tree using the rapid growth option
D) Decision Tree using interactive mode

5. How can you appropriately change the number of clusters in a k-means cluster analysis?

A) By increasing the number of iterations
B) By adjusting the learning rate
C) By changing the K-value
D) By modifying the random seed

Solutions: