A00-485 VALID TEST QUESTIONS - NEW A00-485 EXAM SAMPLE

A00-485 Valid Test Questions - New A00-485 Exam Sample

A00-485 Valid Test Questions - New A00-485 Exam Sample

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Tags: A00-485 Valid Test Questions, New A00-485 Exam Sample, New A00-485 Cram Materials, A00-485 Current Exam Content, A00-485 Passleader Review

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Study Your SASInstitute A00-485 Exam with Pass-Sure A00-485 Valid Test Questions: Modeling Using SAS Visual Statistics Efficiently

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SASInstitute Modeling Using SAS Visual Statistics Sample Questions (Q43-Q48):

NEW QUESTION # 43
What is unsupervised classification in the context of cluster analysis?

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

Answer: D


NEW QUESTION # 44
When reviewing Measure Details in SAS Visual Analytics, what information can you find related to measures?

  • A. Measure name and label
  • B. Measure format and informat
  • C. Measure data type
  • D. Measure calculation method

Answer: A,B,C


NEW QUESTION # 45
Refer to the exhibit:

Using the lift chart above to evaluate a decision tree model where the event level is Purchase, what is the expected performance of the model for the best 20% of cases predicted?

  • A. About 1.1 times better than a random sample of the same size
  • B. About 1.25 times better than a random sample of the same size
  • C. About 1.5 times better than a random sample of the same size
  • D. About 4 times better than a random sample of the same size

Answer: C


NEW QUESTION # 46
In logistic regression modeling, how is the probability of an event typically estimated?

  • A. By assigning roles to variables
  • B. By applying the link function to the linear predictor
  • C. By calculating the mean of the predictor variables
  • D. By fitting a linear regression model to the data

Answer: B


NEW QUESTION # 47
When examining the Fit Summary for group-by models, what can you analyze to evaluate the model fit?

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

Answer: A,C,D


NEW QUESTION # 48
......

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