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Reliable SASInstitute A00-255 Test Syllabus - A00-255 Dumps Cost
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The SAS Institute A00-255 exam is intended for professionals who want to gain knowledge and experience in predictive modeling using SAS Enterprise Miner 14. A00-255 exam covers topics like data exploration, variable selection, model building, model assessment, and deployment. A00-255 exam is intended for professionals who work with large datasets and want to use predictive modeling to make data-driven decisions.
SASInstitute A00-255 Certification Exam consists of 70 multiple-choice and short-answer questions that need to be completed within 2 hours and 30 minutes. The topics covered in the exam include data preparation, variable selection, model assessment, and deployment. A00-255 exam also tests the candidate's ability to interpret results and communicate findings to stakeholders. A00-255 Exam is available in English and can be taken online or in person at SASInstitute authorized testing centers.
SASInstitute A00-255 certification exam is an excellent opportunity for professionals who are looking to enhance their skills in predictive modeling using SAS Enterprise Miner 14. A00-255 exam covers a range of topics related to data exploration, data preparation, variable selection, model selection, model assessment, and model deployment. Passing this certification exam demonstrates your proficiency in using SAS Enterprise Miner for predictive modeling and can lead to new career opportunities and increased earning potential.
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SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 Sample Questions (Q55-Q60):
NEW QUESTION # 55
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.
Now suppose that the bank expects to make a profit of $200 USD when TARGET=1, but it expects to lose $25 USD when TARGET=0. Incorporate the above scenario, change the assessment measure of the decision tree to average square error, and then run the Decision Tree node. What is the total profit for the test data set?
Response:
- A. 1,000-1,599
- B. less than or equal to 299
- C. 1,600 or higher
- D. 300-999
Answer: C
NEW QUESTION # 56
The Chi Square statistic for measuring association between the variables BanruptcyInd and TARGET is which of the following?
Response:
- A. between 2.00 and 2.99
- B. 3.00 or higher
- C. less than 1.00
- D. between 1.00 and 1.99
Answer: D
NEW QUESTION # 57
Transformation of input variables to make their distributions more symmetric will likely have what impact in a logistic regression?
Select one:
Response:
- A. decrease the performance of logistic regression
- B. neither increase nor decrease the performance of logistic regression
- C. increase the performance of logistic regression
- D. create convergence problems in maximum likelihood estimation
Answer: C
NEW QUESTION # 58
How many unique indicator variables were created during imputation?
Response:
- A. 21 or higher
- B. none
- C. 11-20
- D. 1-10
Answer: C
NEW QUESTION # 59
Assume in a data mining project that the task is to predict rankings of a target variable as accurately as possible. Which of the following should be used to judge prediction models?
Response:
- A. average squared error
- B. Gini coefficient
- C. KS statistic
- D. misclassification
Answer: B
NEW QUESTION # 60
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