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SASInstitute A00-255 Exam Syllabus Topics:

SectionWeightObjectives
Data Sources20–25%- Create data sources from SAS tables
- Explore and assess data sources
- Modify and prepare source data for modeling
Building Predictive Models35–40%- Understand predictive modeling concepts
- Build models using neural networks
- Build models using regression techniques
- Build models using decision trees
Pattern Analysis10–15%- Interpret pattern discovery results
- Identify clusters and segments
Predictive Model Assessment and Implementation25–30%- Score and deploy models
- Apply appropriate fit statistics
- Adjust for oversampling and sampling methods
- Evaluate performance via profit/loss and comparison

SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 Sample Questions:

1. 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) 14.6216
C) 15
D) 80.3571


2. 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.
What is the probability that TARGET=0 for ID=000355 in the training data?
Response:

A) 0.0658174098
B) 0.077935227
C) 0.9220647773
D) 0.9341825902


3. Assume you have two equally appealing logistic regression models. Then, if you have to select only one out of these two models, you should select the one that has which of the following?
Response:

A) smaller value of SBC (Schwarz,s Bayesian criterion)
B) all of the above
C) higher value of AIC (Akaike,s information criterion)
D) smaller value of gamma


4. 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.
What percentage of all observations is being correctly predicted in the test data set by the decision tree?
Response:

A) 85.2222%
B) 16.8874%
C) 84.5212%
D) 83.1126%


5. For the variable InqTimeLast, which term best describes the shape of its distribution?
Response:

A) left skewed
B) right skewed
C) symmetric
D) bimodal


Solutions:

Question # 1
Answer: C
Question # 2
Answer: C
Question # 3
Answer: A
Question # 4
Answer: D
Question # 5
Answer: B

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