SASInstitute A00-485 dumps - in .pdf

A00-485 pdf
  • Exam Code: A00-485
  • Exam Name: Modeling Using SAS Visual Statistics
  • Updated: Aug 22, 2026
  • Q & A: 190 Questions and Answers
  • PDF Price: $59.99
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  • Exam Code: A00-485
  • Exam Name: Modeling Using SAS Visual Statistics
  • Updated: Aug 22, 2026
  • Q & A: 190 Questions and Answers
  • PDF Version + PC Test Engine + Online Test Engine
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SASInstitute A00-485 dumps - Testing Engine

A00-485 Testing Engine
  • Exam Code: A00-485
  • Exam Name: Modeling Using SAS Visual Statistics
  • Updated: Aug 22, 2026
  • Q & A: 190 Questions and Answers
  • Software Price: $59.99
  • Testing Engine

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SASInstitute A00-485 Exam Syllabus Topics:

SectionObjectives
Predictive Modeling Fundamentals- Model selection and comparison techniques
- Regression modeling concepts
  • 1. Logistic regression
    • 2. Linear regression
      Data Preparation and Exploration in SAS Viya- Loading and preparing data for Visual Statistics
      - Exploratory data analysis and visualization
      Model Evaluation and Interpretation- Interpreting model outputs and reports
      - Assessing model performance
      Machine Learning Methods in Visual Statistics- Decision trees and random forests concepts
      - Clustering techniques

      SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

      1. In SAS Visual Analytics, which of the following tasks involves converting a categorical variable into a numerical one?

      A) Replacing dirty data
      B) Aggregating a measure
      C) Creating a dummy variable
      D) Transforming a variable


      2. Which statement is true for negative binomial and Poisson regression models?

      A) Poisson regression models are used for count data, and negative binomial models are used for binary responses.
      B) Poisson regression is a special case of negative binomial regression.
      C) The canonical link function for Poisson regression is the log, while for negative binomial it is the logit.
      D) Negative binomial models accommodate negative integers while Poisson regression does not.


      3. Refer to the exhibit:

      A retailer wants to use a decision tree to select one segment to mail 35,000 coupons to existing customers for a new line of organic products.
      Assuming that customers who have purchased organic products in the past are likely to want new organic products in the future, select the single best Leaf ID for the mailing.

      A) 15
      B) 17
      C) 18
      D) 12


      4. Refer to the exhibit:

      A cluster has been created with four variables selected on the roles tab.
      Select the set of Parallel Coordinates Properties that would display the image in the exhibit.

      A)

      B)

      C)

      D)


      5. When evaluating a Misclassification plot, what does it typically show?

      A) The trade-off between false positives and false negatives at different thresholds
      B) The p-values associated with the predictor variables
      C) The relationship between two predictor variables
      D) The distribution of predictor variables in the dataset


      Solutions:

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

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