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A00-255 Latest Test Online & Simulations A00-255 Pdf
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SASInstitute A00-255 certification exam is designed for professionals who are seeking to demonstrate their skills in predictive modeling using SAS Enterprise Miner 14. SAS Predictive Modeling Using SAS Enterprise Miner 14 certification exam is ideal for individuals who are looking to enhance their knowledge and skills in data mining, data exploration, predictive modeling, and model deployment. SAS Predictive Modeling Using SAS Enterprise Miner 14 certification exam is recognized worldwide, and passing it demonstrates your proficiency in using SAS Enterprise Miner for predictive modeling.
SAS Predictive Modeling Using SAS Enterprise Miner 14 is a certification exam offered by SAS Institute that validates the candidate's knowledge and skills in using SAS Enterprise Miner for predictive modeling. A00-255 Exam is designed to test the candidate's ability to develop predictive models using various statistical and machine learning techniques, as well as their understanding of the data mining process.
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SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 Sample Questions (Q61-Q66):
NEW QUESTION # 61
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. 60%
- B. 67%
- C. 40%
- D. 57%
Answer: D
NEW QUESTION # 62
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.
The variable Branch has how many levels?
Response:
- A. 0
- B. 1
- C. 2
- D. 3
Answer: C
NEW QUESTION # 63
Refer to the graphs shown below. The graphs are from a study of response rate to a marketing campaign.
How much more likely are the top 20% of targeted respondents to purchase the product than a randomly selected sample?
Select one:
Response:
- A. 60%
- B. 30%
- C. 25%
- D. 140%
Answer: D
NEW QUESTION # 64
A useful concept in logistic regression is the doubling amount. How would you calculate doubling amount for an input variable that has a parameter estimate of b1?
Response:
- A. 2/log(b1)
- B. 2*b1
- C. 2*log(b1)
- D. 0.69/b1
Answer: D
NEW QUESTION # 65
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. $8,711.65
- C. $9,586.55
- D. $0.00
Answer: C
NEW QUESTION # 66
......
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