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SASInstitute A00-255 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Pattern Analysis | 10–15% | - Interpret pattern discovery results - Identify clusters and segments |
| Topic 2: Building Predictive Models | 35–40% | - Understand predictive modeling concepts - Build models using neural networks - Build models using regression techniques - Build models using decision trees |
| Topic 3: Predictive Model Assessment and Implementation | 25–30% | - Adjust for oversampling and sampling methods - Evaluate performance via profit/loss and comparison - Score and deploy models - Apply appropriate fit statistics |
| Topic 4: Data Sources | 20–25% | - Explore and assess data sources - Modify and prepare source data for modeling - Create data sources from SAS tables |
SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 Sample Questions:
What is the average squared error in the training data?
Response:
- A. 0.131709
- B. 0.133665
- C. 0.131208
- D. 0.131583
Correct Answer: D 🗳️
A multilayer perceptron neural network is using three interval inputs to model one interval target (outcome). The neural network has ten hidden units and one hidden layer. How many weights, including biases are being estimated?
You may use a calculator for this question. On the certification exam, an on-screen calculator is provided for you.
Select one:
Response:
- A. 51
- B. 40
- C. 41
- D. 50
Correct Answer: A 🗳️
Suppose your input variables have missing values. Before running a decision tree with these input variables, you should do which of the following?
Response:
- A. impute all missing values using the Tree method
- B. impute only interval variables using the Tree method but do not impute the class variables
- C. not impute any missing values because trees can handle them.
- D. impute only class variables using the Tree method but do not impute the interval variables
Correct Answer: C 🗳️
Assume the Target has an event proportion of 2% in the original data. Which of the following property values should be used in the Sample node of SAS Enterprise Miner to create a sample from that data with a balanced 50/50 split for Target?
Select one:
Response:
- A. Sample Method: Random and Criterion: Proportional
- B. Sample Method: Random and Criterion: Equal
- C. Sample Method: Stratify and Criterion: Equal
- D. Sample Method: Stratify and Criterion: Proportional
Correct Answer: C 🗳️
Open the diagram labeled Practice A within the project labeled Practice A. Perform the following in SAS Enterprise Miner:
1. Set the Clustering method to Average.
2. Run the Cluster node.
What is the Importance statistic for MTGBal (Mortgage Balance)?
Response:
- A. 0.60485
- B. 0.42541
- C. 0.32959
- D. 0.42667
Correct Answer: A 🗳️
