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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 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 (Q60-Q65):
NEW QUESTION # 60
For the variable InqTimeLast, which term best describes the shape of its distribution?
Response:
- A. right skewed
- B. bimodal
- C. left skewed
- D. symmetric
Answer: A
NEW QUESTION # 61
The selected model, based on the misclassification rate for the validation data, has how many input variables?
Response:
- A. 0
- B. 4 or more
- C. 1
- D. 2
Answer: D
NEW QUESTION # 62
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 Importance statistic for MTGBal (Mortgage Balance)?
Response:
- A. 0.32959
- B. 0.42541
- C. 0.42667
- D. 0.60485
Answer: D
NEW QUESTION # 63
Which method of input selection for regression analysis evaluates the statistical significance of the total model to see if it improves on the baseline as the variables are added and once no further improvement is made then variable selection ends?
Select one:
Response:
- A. Stepwise
- B. Forward
- C. Simple
- D. Backward
Answer: B
NEW QUESTION # 64
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. 0.0658174098
- B. 0.9341825902
- C. 0.077935227
- D. 0.9220647773
Answer: D
NEW QUESTION # 65
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