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SASInstitute A00-255 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Model Implementation and Deployment | - Monitoring model performance in production - Model scoring and deployment in SAS Enterprise Miner |
| Business Understanding and Analytical Framework | - Define business objectives and analytics goals - Translate business problems into data mining tasks |
| Data Understanding and Preparation | - Data cleaning and preprocessing - Data collection and data source identification - Feature selection and transformation - Handling missing values and outliers |
| Model Development | - Neural networks and advanced modeling in SAS Enterprise Miner - Decision trees and ensemble methods - Regression modeling techniques |
| Model Evaluation and Validation | - Model comparison and selection - Validation and cross-validation techniques - Model performance metrics |
| Exploratory Data Analysis | - Descriptive statistics and data profiling - Visualization techniques for pattern discovery |
SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 Sample Questions:
Refer to the exhibit:
The SAS data set credit_customers contains a numeric variable units_sold that holds only the values: 1, 2, 3, 4. Based on the settings provided in the Advanced Advisor Options, what will be the Role and Level of the units_sold variable when the credit_customers data set is created using Advanced Metadata Advisor in the Data Source Wizard?
Select one:
Response:
- A. Role: IntervalLevel: Input
- B. Role: InputLevel: Nominal
- C. Role: RejectedLevel: Nominal
- D. Role: InputLevel: Interval
Correct Answer: B 🗳️
The number of neurons in this Neural Network model is which of the following:
Response:
- A. 2
- B. 1
- C. 4 or more
- D. 3
Correct Answer: B 🗳️
Which model was picked as the best model by SAS Enterprise Miner?
Response:
- A. None of the above
- B. Decision Tree
- C. Regression
- D. Decision Tree (3-way)
Correct Answer: B 🗳️
Which of the following solves problems for you when you impute missing values?
Response:
- A. When you impute a synthetic value, it replaces missing values with 1 or 0.
- B. When you impute a synthetic value, predictive information is retained.
- C. When you impute a synthetic value, it eliminates the incomplete case problem.
- D. When you impute a synthetic value, each missing value becomes an input to the model.
Correct Answer: C 🗳️
Impute the missing values for the variable TLSum using the Tree method. What is the mean of the new variable (with the imputed values)?
Response:
- A. less than 19,999.99
- B. 20,000-29,999.99
- C. 40,000 or higher
- D. 30,000-39,999.99
Correct Answer: A 🗳️
