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SASInstitute Modeling Using SAS Visual Statistics Sample Questions (Q74-Q79):

NEW QUESTION # 74
What is the primary benefit of exporting score code for model deployment?

A. It provides insights into the distribution of predictor variables.
B. It automatically generates new predictor variables.
C. It allows for model performance assessment on a test dataset.
D. It enables scoring of new data without the need for SAS Visual Statistics.

Answer: D

NEW QUESTION # 75
What information can you interpret from a Cluster Matrix?

A. The proximity or similarity between clusters
B. The cluster centroids
C. The number of data points in each cluster
D. The order of cluster creation

Answer: A,B

NEW QUESTION # 76
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

Answer: B

NEW QUESTION # 77
What is the primary purpose of scoring functionality in SAS Visual Statistics?

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

Answer: B,C

NEW QUESTION # 78
Why are decision trees a useful technique for segmentation?

A. Trees split the response into heterogeneous groups, while minimizing the difference in the response of the groups.
B. Trees split data into smaller cells which are decreasingly "pure".
C. Trees split the response into homogeneous groups, while maximizing the difference in the response of the groups.
D. Trees treat each split cell dependently based on earlier split decisions.

Answer: C

NEW QUESTION # 79
......

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