試験準備には欠かさない！A00-255問題解答でA00-255試験問題集
リアルSASInstitute A00-255試験問題 [更新されたのは2025年]
質問 # 51
Assume the Target has an event proportion of 2% in the original data. Which of the following property values should be used in the Sample node of SAS Enterprise Miner to create a sample from that data with a balanced 50/50 split for Target?
Select one:
Response:
- A. Sample Method: Random and Criterion: Equal
- B. Sample Method: Stratify and Criterion: Equal
- C. Sample Method: Random and Criterion: Proportional
- D. Sample Method: Stratify and Criterion: Proportional
正解：B
質問 # 52
Refer to the exhibit:
The SAS data set retail contains information on the count of retail store sales based on the following item types: bargain, essential, gourmet, and health. Based on the results from the Cluster Profile node, which statement is true?
Select one:
Response:
- A. The overall distribution of bargain item sales is approximately normal and Segment 1 contains stores selling fewer than average bargain items.
- B. The overall distribution of bargain item sales is left-skewed and Segment 4 contains stores selling fewer than average bargain items.
- C. The overall distribution of essential item sales is approximately normal and Segment 1 contains stores selling fewer than average essential items.
- D. The overall distribution of essential item sales is right skewed and Segment 4 contains stores selling higher than average essential items.
正解：A
質問 # 53
Refer to the exhibit:
What would be the decision threshold (probability cutoff) generated for this decision matrix. You may use a calculator for this question. On the certification exam, an on-screen calculator is provided for you.
Select one:
Response:
- A. 0.27
- B. 0.82
- C. 0.18
- D. 0.21
正解：C
質問 # 54
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. the average of the absolute values of parameter estimates between the input and all of the hidden neurons
- B. the highest absolute value of the parameter estimate between the input and any of the hidden neurons
- C. none of the above
- D. 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
正解：C
質問 # 55
Which of the following is not a good reason to"regularize" input distributions using a simple transformation?
Response:
- A. One benefit is improved model performance.
- B. Another benefit is ease in model interpretation.
- C. When you perform regression, inputs with highly skewed or highly kurtotic distributions can be selected over inputs that would yield better overall predictions.
- D. Regression models are sensitive to extreme or outlying values in the input space.
正解：B
質問 # 56
Transformation of input variables to make their distributions more symmetric will likely have what impact in a logistic regression?
Select one:
Response:
- A. increase the performance of logistic regression
- B. neither increase nor decrease the performance of logistic regression
- C. decrease the performance of logistic regression
- D. create convergence problems in maximum likelihood estimation
正解：A
質問 # 57
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.
Which of the following variable(s) is (are) statistically significant at the 5% level in the selected model?
Response:
- A. TLTimeFirst
- B. TLDel3060Cnt24
- C. IMP_TLOpen24Pct
- D. all of the above
正解：D
質問 # 58
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. Regression
- B. Decision Tree
- C. Neural Network
- D. Ensemble
正解：D
質問 # 59
The number of hidden layers in this Neural Network model is which of the following?
Response:
- A. 4 or more
- B. 0
- C. 1
- D. 2
正解：C
質問 # 60
If the bank wanted to select the best model based on the models' overall performances on the validation data as measured by the average squared error, then the best model is which of the following?
Response:
- A. Regression
- B. Decision Tree (3-way)
- C. Decision Tree
- D. Neural Network
正解：A
質問 # 61
For the variable TLCnt24, apply a Max Normal transformation. What transformation was selected by SAS Enterprise Miner?
Response:
- A. Square
- B. Square Root
- C. Exponential
- D. Log
正解：B
質問 # 62
You are building a model to identify fraud. Your model will produce predictions that can be interpreted as the probability of fraud. You will pass on the top 100 scoring cases to management for investigation. Assume that you have sufficient data to hold out a validation and test data set for model evaluation.
Which selection would represent a reasonable ordering of fit statistics (best to worst) for this situation?
Select one:
Response:
- A. Misclassification rate, ROC index, ASE
- B. ASE, Lift for the top 10%, ROC index
- C. R-square, AIC, K-S statistic
- D. ROC index, ASE, misclassification rate
正解：D
質問 # 63
For an ordinal variable with L levels, the number of possible splits in a decision tree is which of the following?
Response:
- A. 2L-1-1
- B. 2L-1
- C. (L-1)/1
- D. 2L
正解：A
質問 # 64
1. Define a new data source, PatternData, in SAS Enterprise Miner (SAS data set Patterndata.sas7bdat in the zip file distributed with this practice exam).
2. Set the role of all variables to Input, with the exception set the ID variable role to ID.
3. Set the measurement level for all variables to Interval, except:
- Set DemHomeOwner and StatusCatStarAll to Binary.
- Set DemCluster, DemGender, ID, and StatusCat96NK to Nominal.
4. Create a new diagram (name it Section6) within the project labeled Test.
5. Add the data source, PatternData, to this diagram. Make sure the variable roles and measurements are the same as in the table below. (Check the highlighted rows carefully and reset roles/levels as needed.)
6. Connect a Cluster node to the data source.
7. Modify the Cluster node to exclude nominal and binary input variables.
8. Run the Cluster node.
How many clusters are created by the Cluster node?
Response:
- A. 0
- B. 1
- C. 2
- D. 3
正解：A
質問 # 65
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.
In the validation data, the lift corresponding to the fourth decile is in which of the following ranges?
Response:
- A. 1.25-.49999
- B. 1.75 or more
- C. 0-1.24999
- D. 1.5-1.74999
正解：D
質問 # 66
How many unique indicator variables were created during imputation?
Response:
- A. 21 or higher
- B. none
- C. 1-10
- D. 11-20
正解：D
質問 # 67
Choose the correct statement that illustrates Decision Tree Split Search for continuous (interval) inputs:
Select one:
Response:
- A. The variable goes through a non-linear transformation, and the transformed variable is used for testing.
- B. Each unique value has the potential of being the optimal split point.
- 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. Each unique value has the potential of being the optimal split point, except for the extreme observation.
正解：B
質問 # 68
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. 25%
- B. 30%
- C. 60%
- D. 140%
正解：D
質問 # 69
Suppose your input variables have missing values. Before running a decision tree with these input variables, you should do which of the following?
Response:
- A. impute only class variables using the Tree method but do not impute the interval variables
- B. not impute any missing values because trees can handle them.
- C. impute all missing values using the Tree method
- D. impute only interval variables using the Tree method but do not impute the class variables
正解：B
質問 # 70
Sometimes in predictive modeling we build models using a sample that has a primary outcome proportion different from true population proportion. This is usually done when the ratio of primary to secondary outcomes in a binary target variable in the population is close to which of the following?
Response:
- A. 0
- B. 0.8
- C. 1.2
- D. 0.05
正解：D
質問 # 71
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. 300-999
- B. 1,600 or higher
- C. 1,000-1,599
- D. less than or equal to 299
正解：B
質問 # 72
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. 40%
- B. 60%
- C. 57%
- D. 67%
正解：C
質問 # 73
A multilayer perceptron neural network is using three interval inputs to model one interval target (outcome). The neural network has ten hidden units and one hidden layer. How many weights, including biases are being estimated?
You may use a calculator for this question. On the certification exam, an on-screen calculator is provided for you.
Select one:
Response:
- A. 0
- B. 1
- C. 2
- D. 3
正解：B
質問 # 74
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:\workshop\Practice.
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. $0.00
- C. $8,711.65
- D. $9,586.55
正解：D
質問 # 75
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SASInstitute A00-255試験は、SAS Enterprise Miner 14を使用した予測モデリングのスキルを評価するために設計されています。このテストは、SAS Enterprise Minerのツールと技術を使用して、様々な産業においてより良いかつ正確な意思決定プロセスを支援するための予測モデルを作成、改善、調整する能力を検証することを目的としています。
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