A00-255 NEW DUMPS PPT & EXAM A00-255 PRACTICE

A00-255 New Dumps Ppt & Exam A00-255 Practice

A00-255 New Dumps Ppt & Exam A00-255 Practice

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Tags: A00-255 New Dumps Ppt, Exam A00-255 Practice, A00-255 Dumps, Latest A00-255 Exam Pattern, Latest A00-255 Real Test

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A00-255 Exam guide: SAS Predictive Modeling Using SAS Enterprise Miner 14 & A00-255 Test engine & A00-255 Real dumps

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SASInstitute A00-255 Certification Exam is a must-have for anyone who wants to improve their skills in predictive modeling using SAS Enterprise Miner. Passing the exam demonstrates your knowledge and skills in handling complex data scenarios and predictive modeling techniques. SAS Predictive Modeling Using SAS Enterprise Miner 14 certification is globally recognized and will help you stand out in the job market, increasing your chances of getting hired or promoted to advanced data analytics roles.

SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 Sample Questions (Q12-Q17):

NEW QUESTION # 12
Open the diagram labeled Practice A within the project labeled Practice A. Perform the following in SAS Enterprise Miner:

1. Set the Clustering method to Average.
2. Run the Cluster node.
What is the Cubic Clustering Criterion statistic for this clustering?
Response:

  • A. 5.00
  • B. 67409.93
  • C. 14.69
  • D. 5862.76

Answer: C


NEW QUESTION # 13
1. Create a project named Insurance, with a diagram named Explore.
2. Create the data source, DEVELOP, in SAS Enterprise Miner. DEVELOP is in the directory c:workshopPractice.
3. Set the role of all variables to Input, with the exception of the Target variable, Ins (1= has insurance, 0= does not have insurance).
4. Set the measurement level for the Target variable, Ins, to Binary.
5. Ensure that Branch and Res are the only variables with the measurement level of Nominal.
6. All other variables should be set to Interval or Binary.
7. Make sure that the default sampling method is random and that the seed is 12345.
What is the mean credit card balance (CCBal) of the customers with a variable annuity?
Response:

  • A. $11,142.45
  • B. $9,586.55
  • C. $0.00
  • D. $8,711.65

Answer: B


NEW QUESTION # 14
Which model was picked as the best model by SAS Enterprise Miner?
Response:

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

Answer: C


NEW QUESTION # 15
What is the average squared error in the training data?
Response:

  • A. 0.133665
  • B. 0.131709
  • C. 0.131208
  • D. 0.131583

Answer: D


NEW QUESTION # 16
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. less than or equal to 299
  • B. 300-999
  • C. 1,000-1,599
  • D. 1,600 or higher

Answer: D


NEW QUESTION # 17
......

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