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SASInstitute A00-485 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Predictive Modeling Fundamentals | - Regression modeling concepts
|
| 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 | - Clustering techniques - Decision trees and random forests concepts |
SASInstitute Modeling Using SAS Visual Statistics Sample Questions:
How can score code be implemented to score new data using SAS Enterprise Miner?
- A. By manually executing the code in a command-line interface
- B. By importing the code into SAS Data Integration Studio
- C. By creating a scoring node in a SAS Enterprise Miner process flow
- D. By pasting the code into a web browser
Correct Answer: C π³οΈ
How does SAS Data Integration Studio facilitate scoring new data using exported score code?
- A. By providing a visual interface for connecting to external data sources
- B. By generating score code automatically during ETL processes
- C. By enabling the scheduling of batch scoring jobs
- D. By automatically tuning hyperparameters for scoring
Correct Answer: B,C π³οΈ
What is the primary purpose of modeling effects in linear regression?
- A. To capture the relationship between predictors and the response variable
- B. To identify outliers in the data
- C. To assess multicollinearity among predictors
- D. To calculate the p-values of the predictors
Correct Answer: A π³οΈ
Refer to the exhibit:
An economist is predicting demand using a linear regression model.
If all of the effect variables equal 1, what is the predicted demand?
- A. 362.415133
- B. 352.405432
- C. 352.415433
- D. 352.454433
Correct Answer: C π³οΈ
What is the purpose of applying a prediction cut-off in model assessment?
- A. To determine the optimal threshold for classifying outcomes
- B. To calculate the p-values of predictor variables
- C. To divide the dataset into training and testing sets
- D. To identify influential data points in the dataset
Correct Answer: A π³οΈ
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