Modeling Using SAS Visual Statistics: A00-485 Exam


"Modeling Using SAS Visual Statistics", also known as A00-485 exam, is a SASInstitute Certification. With the complete collection of questions and answers, Pass4sureCert has assembled to take you through 190 Q&As to your A00-485 Exam preparation. In the A00-485 exam resources, you will cover every field and category in SASInstitute Certification Certification helping to ready you for your successful SASInstitute Certification.

  • Exam Code: A00-485
  • Exam Name: Modeling Using SAS Visual Statistics
  • Total Questions: 190

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SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

1. What is the purpose of applying a prediction cut-off in model assessment?

A) To calculate the p-values of predictor variables
B) To identify influential data points in the dataset
C) To divide the dataset into training and testing sets
D) To determine the optimal threshold for classifying outcomes


2. You have a regression model effect that represents the total amount of sales. In addition to that, you would like to create a model effect that represents the average amount of sales.
Which option should you use?

A) Create a calculated item that divides total amount of sales by the total amount of items sold.
B) Create a calculated item by duplicating the original model effect and changing its default aggregation to Average.
C) Create an aggregated measure using the Sum aggregation of total amount of sales divided by the Sum aggregation of total amount of items sold.
D) Create an aggregated measure using the Avg aggregation on total amount of sales.


3. Which model does not produce score code?

A) Regression using the group by option
B) Decision Tree using the rapid growth option
C) Decision Tree using interactive mode
D) Regression using interaction effects


4. What is the primary purpose of specifying the link function in logistic regression?

A) To control the significance level of predictor variables
B) To ensure that all predictor variables are used
C) To determine the distribution of the response variable
D) To establish the relationship between the linear predictor and the probability of an event


5. In group-by modeling, when is the p-value for the group-by variable considered significant?

A) When the p-value is exactly 0.05
B) When the p-value is less than 0.05
C) When the p-value is greater than 0.05
D) When the p-value is less than 0.01


Solutions:

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

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