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SASInstitute A00-255 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Predictive Model Assessment and Implementation | 25–30% | - Adjust for oversampling and sampling methods - Score and deploy models - Apply appropriate fit statistics - Evaluate performance via profit/loss and comparison |
| Topic 2: Building Predictive Models | 35–40% | - Build models using neural networks - Understand predictive modeling concepts - Build models using regression techniques - Build models using decision trees |
| Topic 3: Pattern Analysis | 10–15% | - Identify clusters and segments - Interpret pattern discovery results |
| Topic 4: Data Sources | 20–25% | - Modify and prepare source data for modeling - Explore and assess data sources - Create data sources from SAS tables |
SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 Sample Questions:
1. 1. Create a project named Insurance, with a diagram named Explore.
2. Create the data source, DEVELOP, in SAS Enterprise Miner. DEVELOP is in the directory c:\workshop\Practice.
3. Set the role of all variables to Input, with the exception of the Target variable, Ins (1= has insurance, 0= does not have insurance).
4. Set the measurement level for the Target variable, Ins, to Binary.
5. Ensure that Branch and Res are the only variables with the measurement level of Nominal.
6. All other variables should be set to Interval or Binary.
7. Make sure that the default sampling method is random and that the seed is 12345.
What is the mean credit card balance (CCBal) of the customers with a variable annuity?
Response:
A) $8,711.65
B) $9,586.55
C) $0.00
D) $11,142.45
2. Multicollinearity in regression refers to which of the following?
Response:
A) non-constant variance of the target variable
B) non-normality of the target variable
C) high correlations among input variables
D) high skewness in distributions of input variables
3. Perform these tasks in SAS Enterprise Miner:
* Add a Decision Tree node, as shown below. (Make sure you use only default options in the Decision Tree node.)
* Run the Decision Tree node.
In the training data set, consider only those observations for which the actual value of the target variable equals 1, TARGET=1. What percentage of these observations is being correctly predicted by the decision tree?
Response:
A) 66.6667
B) 15
C) 80.3571
D) 14.6216
4. Assume that a company has an excellent customer segmentation in place and the segment scheme is a variable in the input data set. What is the best partition method that one should use?
Select one:
Response:
A) Cluster
B) Stratify
C) Random
D) Systemic
5. How many hidden layers are generally needed in an MLP-based neural network to capture a discontinuous relationship between inputs and target?
Response:
A) no hidden layer, direct connection between inputs and output is preferred
B) three or more hidden layers
C) one hidden layer
D) two hidden layers
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: C | Question # 3 Answer: B | Question # 4 Answer: B | Question # 5 Answer: D |

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