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SASInstitute A00-485 valid exam - in .pdf Free Demo

  • Exam Code: A00-485
  • Exam Name: Modeling Using SAS Visual Statistics
  • Last Updated: Sep 06, 2025
  • Q & A: 190 Questions and Answers
  • Convenient, easy to study. Printable SASInstitute A00-485 PDF Format. It is an electronic file format regardless of the operating system platform. 100% Money Back Guarantee.
  • PDF Price: $59.98    

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  • Exam Code: A00-485
  • Exam Name: Modeling Using SAS Visual Statistics
  • Last Updated: Sep 06, 2025
  • Q & A: 190 Questions and Answers
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SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

1. What is the primary benefit of exporting score code for model deployment?

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


2. Select the best distribution to model with linear regression.

A)

B)

C)

D)


3. How can you apply filters to both visualization and data source in SAS Visual Analytics?

A) Apply filters using the interactive filter dialog in the visualization
B) Use the toolbar options to filter the visualization
C) Use the filter pane to apply filters to the visualization
D) Define filters directly in the data source properties


4. When applying interactive group-by in SAS Visual Analytics, what happens when you select a specific group?

A) The selected group is highlighted within the visualization
B) The visualization updates to show data only for the selected group
C) The other groups are temporarily hidden from the visualization
D) The measures are aggregated for the selected group


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 linear regression and a generalized linear model cannot be compared.
D) A logistic regression and a decision tree cannot be compared.


Solutions:

Question # 1
Answer: A
Question # 2
Answer: D
Question # 3
Answer: A,B,C,D
Question # 4
Answer: A,B,C
Question # 5
Answer: B

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