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A00-255證照指南 & A00-255證照資訊
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通過獲得SASInstitute A00-255認證,個人可以在就業市場上獲得競爭優勢,特別是在越來越需要預測建模技能的領域,如營銷,金融,醫療保健等。該認證還清楚地表明候選人熟練使用SAS Enterprise Miner 14,這是全球使用最廣泛的數據挖掘和預測分析應用之一。
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A00-255證照資訊 - A00-255考試內容
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最新的 SAS Institute SAS A00-255 免費考試真題 (Q25-Q30):
問題 #25
Perform these tasks in SAS Enterprise Miner:
- 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). Configure the decision tree to use 1 for Number of Surrogate Rules and Largest for Method in Subtree. Do not change any other property of the Decision Tree node.
- 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. Do not change any other property for the Neural Network node. Run the process flow.
Which of the following variables was used in the decision tree model?
Response:
- A. IMP_TLSatCnt
- B. TLDel90Cnt24
- C. TLDel3060Cnt24
- D. InqFinanceCnt24.
答案:C
問題 #26
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.
Now suppose that the bank expects to make a profit of $200 USD when TARGET=1, but it expects to lose $25 USD when TARGET=0. Incorporate the above scenario, change the assessment measure of the decision tree to average square error, and then run the Decision Tree node. What is the total profit for the test data set?
Response:
- A. 1,600 or higher
- B. less than or equal to 299
- C. 300-999
- D. 1,000-1,599
答案:A
問題 #27
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 percentage of all observations is being correctly predicted in the test data set by the decision tree?
Response:
- A. 83.1126%
- B. 85.2222%
- C. 84.5212%
- D. 16.8874%
答案:A
問題 #28
The importance of an input variable in predicting a target in an MLP-based neural network can be figured out by which of the following?
Response:
- A. none of the above
- B. the average of the absolute values of parameter estimates between the input and all of the hidden neurons
- C. the highest absolute value of the parameter estimate between the input and any of the hidden neurons multiplied by the absolute value of the parameter estimate of the hidden neuron
- D. the highest absolute value of the parameter estimate between the input and any of the hidden neurons
答案:A
問題 #29
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. $0.00
- B. $9,586.55
- C. $11,142.45
- D. $8,711.65
答案:B
問題 #30
......
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