[2025年04月]更新のA00-255問題集で時間限定！無料アクセスせよ！ [Q13-Q31]

[2025年04月]更新のA00-255問題集で時間限定！無料アクセスせよ！

A00-255問題集で2025年最新のSASInstitute A00-255試験問題

質問 # 13
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 # 14
You are building a model for a marketing campaign. Every responder to the campaign solicitation will generate $471 in gross revenue. The average cost per solicitation is $66. Incorporating the above information in a decision matrix, what would be the decision threshold (probability cutoff) generated in your model?
You may use a calculator for this question. On the certification exam, an on-screen calculator is provided for you.
Select one:
Response:

A. 0.16
B. 0.20
C. 0.86
D. 0.14

正解：D

質問 # 15
How many unique indicator variables were created during imputation?
Response:

A. 21 or higher
B. 11-20
C. 1-10
D. none

正解：B

質問 # 16
What is the average squared error in the training data?
Response:

A. 0.131583
B. 0.133665
C. 0.131709
D. 0.131208

正解：A

質問 # 17
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. 0.69/b1
B. 2*log(b1)
C. 2/log(b1)
D. 2*b1

正解：A

質問 # 18
What percentage of observations in the test data has TARGET=1?
Response:

A. 16.6627
B. 16.8874
C. 83.3333
D. 16.5924

正解：B

質問 # 19
Which statement describes the Decision Tree Split Search mechanism for categorical inputs?
Select one:
Response:

A. All levels are weighted and the weights are used for testing.
B. The average target value is calculated for each level, and then passed on for testing if it is the optimal split point.
C. A clustering mechanism eliminates observations in outlier clusters as potential split points as a first step. Then, for the remaining observations, the average target value is calculated for each level, and then passed on for testing if it is the optimal split point.
D. The levels that have target rate of 0 or 100% are re-binned first, then weighted and the weights are used for testing.

正解：B

質問 # 20
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.
How many leaves are there in the decision tree?
Response:

A. 1-10
B. 16-20
C. 21 or more
D. 11-15

正解：D

質問 # 21
The number of hidden layers in this Neural Network model is which of the following?
Response:

A. 0
B. 1
C. 4 or more
D. 2

正解：B

質問 # 22
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.
The variable Branch has how many levels?
Response:

A. 0
B. 1
C. 2
D. 3

正解：D

質問 # 23
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：C

質問 # 24
For the Variable Selection node, which statement describes the R-squared variable selection criterion?
Select one:
Response:

A. It looks for a set of colinear inputs that correlate with the target.
B. It uses a chi-squared Decision Tree with no Bonferoni adjustment to select the relevant inputs.
C. It is similar to a decision tree algorithm in being able to detect nonlinear and non-additive relationships between inputs and the target.
D. It uses a squared correlation and then a stepwise regression to eliminate irrelevant inputs.

正解：D

質問 # 25
The selected model, based on the misclassification rate for the validation data, has how many input variables?
Response:

A. 0
B. 1
C. 4 or more
D. 2

正解：B

質問 # 26
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. KS statistic
B. Gini coefficient
C. average squared error
D. misclassification

正解：B

質問 # 27
Which method of input selection for regression analysis evaluates the statistical significance of all included inputs after each input is added?
Select one:
Response:

A. Forward
B. Stepwise
C. Backward
D. Simple

正解：B

質問 # 28
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. 50-74.99
C. 25-49.99
D. 0-24.99

正解：A

質問 # 29
How many hidden layers are generally needed in an MLP-based neural network to capture a discontinuous relationship between inputs and target?
Response:

A. one hidden layer
B. two hidden layers
C. no hidden layer, direct connection between inputs and output is preferred
D. three or more hidden layers

正解：B

質問 # 30
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: