Dump A00-255 Torrent - A00-255 Answers Real Questions
Dump A00-255 Torrent - A00-255 Answers Real Questions
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Tags: Dump A00-255 Torrent, A00-255 Answers Real Questions, Study A00-255 Group, Latest A00-255 Practice Materials, Valid Real A00-255 Exam
Constantly updated multiple mock exams with a great number of questions that will help you in better self-assessment. Memorize all your previous SAS Predictive Modeling Using SAS Enterprise Miner 14 (A00-255) exam questions attempts and display all the changes in your results at the end of each SASInstitute A00-255 Practice Exam attempt. Users will be able to customize the A00-255 practice test software by time or question types. Supported on all Windows-based PCs.
SASInstitute A00-255 Certification Exam is an excellent opportunity for individuals seeking to enhance their skills in predictive modeling using SAS Enterprise Miner 14. It validates one's knowledge and expertise in data mining and predictive modeling and provides a competitive edge in the job market. With the right preparation and practice, passing A00-255 exam can significantly boost one's career prospects in the field of data science.
SASInstitute A00-255 exam covers a wide range of topics, including data preparation, regression modeling, decision trees, neural networks, clustering, and association analysis. It requires a thorough understanding of SAS Enterprise Miner 14 and its various tools and techniques. To prepare for the exam, SAS recommends taking the SAS Enterprise Miner 14: Overview course and the SAS Predictive Modeling Using SAS Enterprise Miner 14 course. Additionally, SAS provides a range of resources, including practice exams, sample questions, and study materials to help you prepare for the exam.
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SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 Sample Questions (Q41-Q46):
NEW QUESTION # 41
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. Ensemble
- B. Neural Network
- C. Regression
- D. Decision Tree
Answer: A
NEW QUESTION # 42
-> Add a Decision Tree node after the Impute node with TARGET as the dependent variable and all other input variables as independent variables (main effects only).
- Allow for 1 substitute rule in case the variable for the primary splitting rule is missing.
- Disable pruning for the decision tree.
-> Add another Neural Network node after the decision tree with TARGET as the dependent variable and all other input variables as independent variables (main effects only).
- Configure the Neural Network model to use Average Error for Model Selection Criterion.
-> Run the process flow.
What is the number of input variables being used by the Neural Network Model?
Enter your numeric answer in the space below:
Response:
- A. 0
- B. 1
- C. 2
- D. 3
Answer: B
NEW QUESTION # 43
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 histogram of the data for 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 for all variables, and sample data for all variables
- D. Sample Properties, Sample Statistics, sample data for the selected variable, and a pie chart of the selected variable
Answer: A
NEW QUESTION # 44
An analyst is performing a market basket analysis (affinity analysis) on the purchase of Shaving Cream and Seltzer Water. The purchase data from a set of 250 customers is shown below:
What is the confidence of the rule "Shaving Cream implies Seltzer Water"? You may use a calculator for this question. On the certification exam, an on-screen calculator is provided for you.
Select one:
Response:
- A. 57%
- B. 40%
- C. 60%
- D. 67%
Answer: A
NEW QUESTION # 45
The Chi Square statistic for measuring association between the variables BanruptcyInd and TARGET is which of the following?
Response:
- A. less than 1.00
- B. between 1.00 and 1.99
- C. 3.00 or higher
- D. between 2.00 and 2.99
Answer: B
NEW QUESTION # 46
......
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