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SASInstitute A00-485 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Machine Learning Methods in Visual Statistics | - Decision trees and random forests concepts - Clustering techniques |
| Model Evaluation and Interpretation | - Interpreting model outputs and reports - Assessing model performance |
| Predictive Modeling Fundamentals | - Model selection and comparison techniques - Regression modeling concepts
|
| Data Preparation and Exploration in SAS Viya | - Exploratory data analysis and visualization - Loading and preparing data for Visual Statistics |
SASInstitute Modeling Using SAS Visual Statistics Sample Questions:
In linear regression, what does a high p-value for a predictor variable suggest?
- A. The predictor is a categorical variable.
- B. The predictor is highly significant for the model.
- C. The predictor is not relevant for the model.
- D. The predictor has a strong linear relationship with the response.
Correct Answer: C 🗳️
Your data contains a column for Country that contains 350 unique values. There are multiple entries for some countries (Japan, JPN, japan, etc.). You want a unique value for each country.
Which is the most efficient way to correct inconsistent values?
- A. Create a calculated item using a Boolean IF...ELSE statement that changes the incorrect variations.
- B. Create a visualization filter to suppress the incorrect variations of a country.
- C. Create a Custom Category that combines all the variations of a country into one.
- D. Create a data source filter to suppress the incorrect variations of a country.
Correct Answer: C 🗳️
Refer to the exhibit from a linear regression model in SAS Visual Statistics:
Based on the table above and assuming a significance level of 0.05, what can be concluded about the linear regression model?
- A. Age is a significant predictor of the response.
- B. For a 1371.5 unit decrease in Total Promos, there is an expected one-unit increase in the response.
- C. The Intercept is an important predictor of the response.
- D. For one one-unit increase in Average Sales, there is an expected increase in the response of
4475.443.
Correct Answer: D 🗳️
What is the maximum number of response variables that SAS Visual Statistics allows for a decision tree?
- A. 1
- B. 3
- C. 7
- D. 5
Correct Answer: A 🗳️
Which statement is true about performing regressions in SAS Visual Statistics?
- A. You can specify an ordinal classifier as the response variable with linear regression.
- B. You can specify a multinomial classifier as the response variable with linear regression.
- C. You can build both a linear regression or a logistic regression with a generalized linear model.
- D. You can build neither a linear regression nor a logistic regression with a generalized linear model.
Correct Answer: C 🗳️
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