Exam SASInstitute A00-255 Questions Fee, Valid A00-255 Exam Topics

With the development of science and technology, getting A00-255 certification as one of the most powerful means to show your ability has attracted more and more people to be engaged in the related exams. Thus there is no doubt that candidates for the exam are facing ever-increasing pressure of competition. Since A00-255 Certification has become a good way for all of the workers to prove how capable and efficient they are. But it is universally accepted that only the studious people can pass the complex A00-255 exam.

SASInstitute A00-255 (SAS Predictive Modeling Using SAS Enterprise Miner 14) certification exam is designed for professionals who want to demonstrate their expertise in predictive modeling using SAS Enterprise Miner 14. SAS Institute is a well-known software company that provides analytics and data management solutions. SAS Enterprise Miner is one of their flagship products that allows users to build predictive models using advanced analytics techniques.

SASInstitute A00-255, also known as the SAS Predictive Modeling Using SAS Enterprise Miner 14 Certification Exam, is a globally recognized certification program that validates an individual's skills in using SAS Enterprise Miner for predictive modeling. A00-255 Exam assesses the candidate's ability to manipulate data, create predictive models, and interpret the results.

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SASInstitute A00-255 Certification Exam is a comprehensive way to validate one's knowledge and skills in predictive modeling using SAS Enterprise Miner 14. It provides a competitive edge to individuals seeking jobs in the field of data science, as it is a well-recognized certification in the industry.

SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 Sample Questions (Q77-Q82):

NEW QUESTION # 77
Which model was picked as the best model by SAS Enterprise Miner?
Response:

A. None of the above
B. Decision Tree
C. Regression
D. Decision Tree (3-way)

Answer: B

NEW QUESTION # 78
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. 1,600 or higher
B. 1,000-1,599
C. 300-999
D. less than or equal to 299

Answer: A

NEW QUESTION # 79
Refer to the graphs shown below. The graphs are from a study of response rate to a marketing campaign.

How much more likely are the top 20% of targeted respondents to purchase the product than a randomly selected sample?
Select one:
Response:

A. 140%
B. 25%
C. 60%
D. 30%

Answer: A

NEW QUESTION # 80
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. Systemic
B. Random
C. Stratify
D. Cluster

Answer: C

NEW QUESTION # 81
Perform this task using SAS Enterprise Miner:
Continue to use the same diagram. Use an Ensemble node (configure using default options) in SAS Enterprise Miner to combine all four models.
Compare the performance of the ensemble and the four models using average squared error in the validation data. Which is the best model in this comparison?
Response:

A. Neural Network
B. Decision Tree
C. Ensemble
D. Regression

Answer: C

NEW QUESTION # 82
......

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Exam SASInstitute A00-255 Questions Fee, Valid A00-255 Exam Topics

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SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 Sample Questions (Q77-Q82):

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