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SASInstitute A00-255 Labs - A00-255 Valid Test Book
The PDF format is designed to use on laptops, tablets, and smartphones. It is an ideal format to prepare for the SAS Predictive Modeling Using SAS Enterprise Miner 14 (A00-255) certification exam anywhere anytime. The customers can even store the A00-255 Practice Test material in the form of printed notes because the PDF file is printable.
SASInstitute A00-255 exam is a certification test designed for individuals who want to demonstrate their expertise in predictive modeling using SAS Enterprise Miner 14. A00-255 exam tests your knowledge on various topics related to predictive modeling, data mining, and data analysis. It is an excellent way to showcase your skills and knowledge to potential employers or clients.
To appear for the SASInstitute A00-255 Certification Exam, candidates must have a strong understanding of SAS programming basics, statistical modeling concepts, and data mining techniques. A00-255 Exam focuses on various topics, such as data exploration, data transformation, variable selection, model comparison, and model deployment. Candidates must also have experience working with SAS Enterprise Miner software to analyze and model data effectively. Passing the SASInstitute A00-255 Certification Exam demonstrates that a candidate has the necessary skills and knowledge to use SAS Enterprise Miner effectively for predictive modeling and data analysis.
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To prepare for the exam, candidates are encouraged to take the SAS Predictive Modeling Using SAS Enterprise Miner 14 course, which provides a comprehensive overview of the concepts and techniques covered in the exam. Additionally, candidates can use the SAS Enterprise Miner software to gain hands-on experience with the tools and techniques used in predictive modeling.
SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 Sample Questions (Q79-Q84):
NEW QUESTION # 79
Which of the following is not a good reason to"regularize" input distributions using a simple transformation?
Response:
- A. When you perform regression, inputs with highly skewed or highly kurtotic distributions can be selected over inputs that would yield better overall predictions.
- B. Another benefit is ease in model interpretation.
- C. One benefit is improved model performance.
- D. Regression models are sensitive to extreme or outlying values in the input space.
Answer: B
NEW QUESTION # 80
Consider a binary target variable. Assume Accuracy is the desired assessment measure. Accuracy is not an option in the Decision Tree node. Which assessment measure can you use as a proxy for accuracy?
Select one:
Response:
- A. Average Squared Error
- B. Mean Square Error
- C. Total Profit
- D. 1 - Misclassification Rate
Answer: D
NEW QUESTION # 81
In SAS Enterprise Miner's Decision Tree node, which of the following types of target variable can be used?
Response:
- A. binary
- B. nominal with any number of categories
- C. all of the above
- D. interval
Answer: C
NEW QUESTION # 82
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. 67%
- C. 60%
- D. 40%
Answer: A
NEW QUESTION # 83
In segment 2, what percentage of GiftAvgCard36 values are between 6.6638 and 11.998?
Select one:
Response:
- A. 13.39%
- B. 48.59%
- C. 47.82%
- D. 14.00%
Answer: B
NEW QUESTION # 84
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