Exam Name: Modeling Using SAS Visual Statistics
Certification Provider: SASInstitute
Corresponding Certification: SASInstitute Certification
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SASInstitute A00-485 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Machine Learning Methods in Visual Statistics | - Decision trees and random forests concepts - Clustering techniques |
| Topic 2: Data Preparation and Exploration in SAS Viya | - Exploratory data analysis and visualization - Loading and preparing data for Visual Statistics |
| Topic 3: Predictive Modeling Fundamentals | - Model selection and comparison techniques - Regression modeling concepts
|
| Topic 4: Model Evaluation and Interpretation | - Assessing model performance - Interpreting model outputs and reports |
SASInstitute Modeling Using SAS Visual Statistics Sample Questions:
In SAS Visual Statistics, how can you use a derived cluster ID variable in another visualization?
- A. By including it as a dimension in a new visualization
- B. By linking it to a table in a database
- C. By exporting it as a separate dataset
- D. By embedding it within a scatter plot
Correct Answer: A 🗳️
Given a scenario, what condition makes models comparable in SAS Visual Statistics?
- A. If they use different link functions
- B. If they use different response variables
- C. If they use the same dataset and response variable
- D. If they have different sample sizes
Correct Answer: C 🗳️
In linear regression, what does a high p-value for a predictor variable suggest?
- A. The predictor has a strong linear relationship with the response.
- B. The predictor is a categorical variable.
- C. The predictor is highly significant for the model.
- D. The predictor is not relevant for the model.
Correct Answer: D 🗳️
Your company has a dataset that represents global sales. You are a part of a team of analysts that each have responsibility for a certain region of the world. You decide to create a data source filter to suppress every region but yours.
What effect will this have on any new explorations that your teammates create?
- A. It will suppress all observations that do not match your region.
- B. It will delete all observations that do not match your region.
- C. It will suppress all observations that do not match their corresponding region.
- D. It will have no effect on any observations in the dataset.
Correct Answer: D 🗳️
Which statement is true regarding model comparison within SAS Visual Statistics?
- A. Two cluster analyses cannot be compared if they have different initial seed assignments.
- B. Two generalized linear models cannot be compared if they use different underlying distributions.
- C. A logistic regression and a decision tree cannot be compared.
- D. A linear regression and a generalized linear model cannot be compared.
Correct Answer: A 🗳️
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