SASInstitute A00-485 : Modeling Using SAS Visual Statistics

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SASInstitute A00-485 Exam Syllabus Topics:

SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

1. Which of the following tasks in SAS Visual Analytics involves reducing the granularity of categorical data?

A) Transforming a variable
B) Imputing a variable
C) Aggregating a measure
D) Creating a dummy variable

2. What is unsupervised classification in the context of cluster analysis?

A) Grouping similar data points together without predefined labels
B) Assigning predefined labels to data points
C) Creating a scatter plot of data points
D) Using a decision tree for data classification

3. Which SAS tool is most suitable for managing explorations and visualizations in a business intelligence context?

A) SAS Enterprise Miner
B) SAS Visual Data Builder
C) SAS Enterprise Guide
D) SAS Studio

4. When examining the Fit Summary for group-by models, what can you analyze to evaluate the model fit?

A) R-squared value
B) BIC (Bayesian Information Criterion)
C) AIC (Akaike Information Criterion)
D) p-value for the group-by variable

5. Cluster Analysis in SAS Visual Statistics is categorized as which type of machine learning?

A) Semi-supervised learning
B) Reinforcement learning
C) Supervised learning
D) Unsupervised learning

Solutions: