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SASInstitute A00-255 exam is designed to test individuals' knowledge and skills in predictive modeling using SAS Enterprise Miner 14. SAS Predictive Modeling Using SAS Enterprise Miner 14 certification exam is intended for individuals who have a solid understanding of statistics and data mining concepts and are looking to demonstrate their expertise in SAS predictive modeling techniques.
To sit for the SASInstitute A00-255 certification exam, candidates are required to have a solid understanding of statistics, data analysis, and predictive modeling concepts. They should be well-versed in SAS programming and have a good grasp of SAS Enterprise Miner interface. A00-255 Exam consists of 50 multiple-choice questions and has a duration of 1.5 hours. To pass the exam, candidates need to score at least 68% and demonstrate their ability to apply the knowledge and skills acquired during their training to real-world scenarios. Achieving the SASInstitute A00-255 certification is a valuable asset for data analysts, statisticians, and other professionals involved in predictive modeling, as it proves their mastery of one of the most popular data mining tools in the industry.
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SASInstitute A00-255 certification exam is all about SAS predictive modeling using SAS Enterprise Miner 14. The main aim of this certification is to test your knowledge and skills in predictive modeling techniques and how you can use SAS Enterprise Miner to solve business problems. The A00-255 Certification Exam is not only essential for SAS users but also for data scientists, statisticians, and business analysts who want to sharpen their skills in predictive modeling using SAS tools.
SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 Sample Questions (Q43-Q48):
NEW QUESTION # 43
What is the kurtosis value for the variable TLDel60Cnt24?
Response:
- A. 17 or higher
- B. between 10 and 13.99
- C. less than 10
- D. between 14 and 16.99
Answer: D
NEW QUESTION # 44
1. Define a new data source, PatternData, in SAS Enterprise Miner (SAS data set Patterndata.sas7bdat in the zip file distributed with this practice exam).
2. Set the role of all variables to Input, with the exception set the ID variable role to ID.
3. Set the measurement level for all variables to Interval, except:
- Set DemHomeOwner and StatusCatStarAll to Binary.
- Set DemCluster, DemGender, ID, and StatusCat96NK to Nominal.
4. Create a new diagram (name it Section6) within the project labeled Test.
5. Add the data source, PatternData, to this diagram. Make sure the variable roles and measurements are the same as in the table below. (Check the highlighted rows carefully and reset roles/levels as needed.)
6. Connect a Cluster node to the data source.
7. Modify the Cluster node to exclude nominal and binary input variables.
8. Run the Cluster node.
How many clusters are created by the Cluster node?
Response:
- A. 0
- B. 1
- C. 2
- D. 3
Answer: C
NEW QUESTION # 45
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, sample data for the selected variable, and a pie chart of the selected variable
- B. Sample Properties, Sample Statistics, sample data with all variables and values, and a histogram of the data for the selected variable
- C. Sample Properties, Sample Statistics, sample data for the selected variable, and a histogram of the data for the selected variable
- D. Sample Properties, Sample Statistics for all variables, and sample data for all variables
Answer: C
NEW QUESTION # 46
The number of hidden layers in this Neural Network model is which of the following?
Response:
- A. 0
- B. 1
- C. 2
- D. 4 or more
Answer: C
NEW QUESTION # 47
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.
The percentage of observations correctly predicted in the validation data by the Ensemble model is in which of the following ranges?
Response:
- A. less than 83.99%
- B. 94% or higher
- C. 90-93.99%-
- D. 84-89.99%
Answer: A
NEW QUESTION # 48
......
A00-255 Lab Questions: https://www.prep4cram.com/A00-255_exam-questions.html
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