SASInstitute A00-255 Valid Dump : SAS Predictive Modeling Using SAS Enterprise Miner 14

A00-255 real exams

Exam Code: A00-255

Exam Name: SAS Predictive Modeling Using SAS Enterprise Miner 14

Updated: Jul 25, 2026

Q & A: 87 Questions and Answers

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SASInstitute A00-255 Exam Syllabus Topics:

SectionObjectives
Model Evaluation and Validation- Model performance metrics
- Validation and cross-validation techniques
- Model comparison and selection
Model Development- Regression modeling techniques
- Neural networks and advanced modeling in SAS Enterprise Miner
- Decision trees and ensemble methods
Data Understanding and Preparation- Handling missing values and outliers
- Data cleaning and preprocessing
- Data collection and data source identification
- Feature selection and transformation
Exploratory Data Analysis- Visualization techniques for pattern discovery
- Descriptive statistics and data profiling
Model Implementation and Deployment- Model scoring and deployment in SAS Enterprise Miner
- Monitoring model performance in production
Business Understanding and Analytical Framework- Define business objectives and analytics goals
- Translate business problems into data mining tasks

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

1. A separate sample has been taken such that the target distribution in the separate sample is different from the target distribution in the original sample.
What should be adjusted?
Select one:
Response:

A) sensitivity
B) specificity
C) confidence intervals
D) lift


2. What is the kurtosis value for the variable TLDel60Cnt24?
Response:

A) less than 10
B) between 14 and 16.99
C) between 10 and 13.99
D) 17 or higher


3. For the variable InqCnt06, replace all values over 10.1 with the value 10. How many values are replaced?
Response:

A) 0-99
B) 100-149
C) 200 or higher
D) 150-199


4. What is the variable worth of the PromCntCardAll variable in Segment 1?
Select one:
Response:

A) 0.27649
B) 0.24169
C) 0.10844
D) 0.24914


5. 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) 0.9220647773
B) 0.0658174098
C) 0.077935227
D) 0.9341825902


Solutions:

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

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