合格させる試験完全版A00-255問題集87解答
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質問 # 37
Assume in a data mining project that the task is to predict rankings of a target variable as accurately as possible. Which of the following should be used to judge prediction models?
Response:
- A. average squared error
- B. misclassification
- C. Gini coefficient
- D. KS statistic
正解：C
質問 # 38
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. Neural Network
- B. Decision Tree
- C. Ensemble
- D. Regression
正解：C
質問 # 39
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. 67%
- B. 57%
- C. 40%
- D. 60%
正解：B
質問 # 40
A separate sample has been taken such that the target distribution in the separate sample is different from the target distribution in the original sample.
What should be adjusted?
Select one:
Response:
- A. lift
- B. specificity
- C. sensitivity
- D. confidence intervals
正解：A
質問 # 41
Which of the following sequential selection methods do you use so that SAS Enterprise Miner will look at all variables already included in the model and delete any variable that is not significant at the specified level?
Response:
- A. Stepwise
- B. Backward
- C. Forward
- D. None
正解：D
質問 # 42
Perform these tasks in SAS Enterprise Miner:
- Use the Regression node to build another regression model with TARGET as the dependent variable and all other input variables as independent variables (main effects only).
- Configure the regression model to use Stepwise for Selection Model and Validation Error for Selection Criteri a. Do not change any other property for the regression model.
Consider the variable TLCnt03 in the selected model. Based on the model results, changing this variable by 1 unit will result in which of the following?
Response:
- A. change of odds for TARGET=1 by a factor 0.708
- B. change of odds for TARGET=1 by a factor 0.3457
- C. reduction of odds for TARGET=1 by 0.708
- D. reduction of odds for TARGET=1 by 0.3457
正解：A
質問 # 43
Choose the correct statement that illustrates Decision Tree Split Search for continuous (interval) inputs:
Select one:
Response:
- A. Each unique value has the potential of being the optimal split point.
- B. Each unique value has the potential of being the optimal split point, except for the extreme observation.
- C. The variable goes through a binning process, the bins are weighted based on the proportion of events in each bin, and then finally tested as an optimal split point.
- D. The variable goes through a non-linear transformation, and the transformed variable is used for testing.
正解：A
質問 # 44
Perform these tasks in SAS Enterprise Miner:
* Continue to use the same diagram. Define and create the data set CREDIT_SCORE for scoring. The variables (their roles and measurement levels) in the CREDIT_SCORE data should be set as identical to those in the CREDIT dat a. The only exception is that the scoring data does not have a TARGET variable.
* Find the best model out of Decision Tree, Decision Tree (3-way), Regression, and Neural Network as defined by each of the four model's overall performance in the validation data measured by average squared error. Now, use this best model to score the CREDIT_SCORE data.
CREDIT SCORE:
The distribution of the predicted probabilities of TARGET=0 in the scoring data is approximately which of the following?
Response:
- A. normal
- B. right skewed
- C. left skewed
- D. bimodal
正解：C
質問 # 45
If you only consider observations for which TARGET=0, what percentage of such observations has BanruptcyInd=1?
Response:
- A. 80% or higher
- B. less than 15%
- C. between 15%-49.99%
- D. between 50%-79.99%
正解：B
質問 # 46
The number of hidden layers in this Neural Network model is which of the following?
Response:
- A. 0
- B. 4 or more
- C. 1
- D. 2
正解：D
質問 # 47
What is the kurtosis value for the variable TLDel60Cnt24?
Response:
- A. between 10 and 13.99
- B. less than 10
- C. 17 or higher
- D. between 14 and 16.99
正解：D
質問 # 48
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.
In the training data set, consider only those observations for which the actual value of the target variable equals 1, TARGET=1. What percentage of these observations is being correctly predicted by the decision tree?
Response:
- A. 66.6667
- B. 0
- C. 14.6216
- D. 80.3571
正解：B
質問 # 49
What is the purpose of the Kass (Bonferroni) adjustment in the decision tree split-search algorithm?
Select one:
Response:
- A. To give categorical inputs a greater chance to be used the split.
- B. To ensure a non-negative logworth value.
- C. To ensure that the choice of split is not influenced by input measurement scale.
- D. To reduce the number of surrogate splitting rules.
正解：C
質問 # 50
Perform these tasks in SAS Enterprise Miner:
- Use the Regression node to build another regression model with TARGET as the dependent variable and all other input variables as independent variables (main effects only).
- Configure the regression model to use Stepwise for Selection Model and Validation Error for Selection Criteri a. Do not change any other property for the regression model.
For the validation data, in what range does cumulative percent captured response at the 60th percentile lie?
Response:
- A. 75 or more
- B. 25-49.99
- C. 0-24.99
- D. 50-74.99
正解：A
質問 # 51
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. 140%
- B. 30%
- C. 25%
- D. 60%
正解：A
質問 # 52
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SASInstitute A00-255試験は、SAS Enterprise Minerを使用した予測モデリングに関する幅広いトピックをカバーする、多肢選択および短答問題から構成されています。これらのトピックには、データの準備、変数の選択、モデルの構築と評価、モデルの展開、およびモデルの管理が含まれます。試験では、アンサンブルモデリング、時系列モデリング、およびテキストマイニングなどの高度なトピックもカバーされます。
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