A00-255 Reliable Real Exam | A00-255 Passleader Review
A00-255 Reliable Real Exam | A00-255 Passleader Review
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SASInstitute A00-255 is a certification exam to test IT expertise and skills. If you find a job in the IT industry, many human resource managers in the interview will reference what SASInstitute related certification you have. If you have SASInstitute A00-255 Certification, apparently, it can improve your competitiveness.
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SASInstitute A00-255 exam consists of 55 to 60 multiple-choice and short-answer questions. A00-255 exam duration is 2.5 hours, and candidates must achieve a score of 725 or higher to pass the exam. A00-255 exam is available in English and other languages, and candidates can take the exam at a Pearson VUE testing center or remotely via a Pearson VUE online proctored exam. Overall, the SASInstitute A00-255 Exam is an excellent opportunity for professionals who want to improve their skills in predictive modeling and obtain a globally recognized certification.
SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 Sample Questions (Q43-Q48):
NEW QUESTION # 43
Assume a variable is coded as follows: 1=unmarried, 2=married, 3=divorced, and 4=widowed. Then which of the following measurement levels should be selected in SAS Enterprise Miner for this variable?
Response:
- A. Unary
- B. Ordinal
- C. Interval
- D. Nominal
Answer: D
NEW QUESTION # 44
Perform these tasks in SAS Enterprise Miner:
- Add a Decision Tree node after the Impute node with TARGET as the dependent variable and all other input variables as independent variables (main effects only). Configure the decision tree to use 1 for Number of Surrogate Rules and Largest for Method in Subtree. Do not change any other property of the Decision Tree node.
- Add another Neural Network node after the decision tree with TARGET as the dependent variable and all other input variables as independent variables (main effects only). Configure the Neural Network model to use Average Error for Model Selection Criterion. Do not change any other property for the Neural Network node. Run the process flow.
Which of the following variables was used in the decision tree model?
Response:
- A. TLDel90Cnt24
- B. IMP_TLSatCnt
- C. TLDel3060Cnt24
- D. InqFinanceCnt24.
Answer: C
NEW QUESTION # 45
Perform these tasks in SAS Enterprise Miner:
- Add a Decision Tree node after the Impute node with TARGET as the dependent variable and all other input variables as independent variables (main effects only). Configure the decision tree to use 1 for Number of Surrogate Rules and Largest for Method in Subtree. Do not change any other property of the Decision Tree node.
- Add another Neural Network node after the decision tree with TARGET as the dependent variable and all other input variables as independent variables (main effects only). Configure the Neural Network model to use Average Error for Model Selection Criterion. Do not change any other property for the Neural Network node. Run the process flow.
The number of parameters (weights) estimated by the Neural Network model is in which of the following ranges?
Response:
- A. less than or equal to 5
- B. 11-15
- C. 6-10
- D. 16 or more
Answer: D
NEW QUESTION # 46
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 decision tree model, what is the importance of the variable InqCnt06?
Response:
- A. 0.30-0.449999
- B. 0.15-0.299999
- C. less than 0.149999
- D. 0.45 or higher
Answer: A
NEW QUESTION # 47
Refer to the exhibit:
When the Explore button is selected in the graphic, what information will be displayed?
Select one:
Response:
- A. Sample Properties, Sample Statistics for all variables, and sample data for all variables
- B. Sample Properties, Sample Statistics, sample data for the selected variable, and a histogram of the data for the selected variable
- C. Sample Properties, Sample Statistics, sample data with all variables and values, and a histogram of the data for the selected variable
- D. Sample Properties, Sample Statistics, sample data for the selected variable, and a pie chart of the selected variable
Answer: B
NEW QUESTION # 48
......
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