[2025年03月13日] 究極のA00-255準備ガイド！無料最新のSASInstitute練習テスト問題集 [Q29-Q52]

[2025年03月13日] 究極のA00-255準備ガイド！無料最新のSASInstitute練習テスト問題集

今すぐゲットせよ！高評価SASInstitute A00-255試験問題集

質問 # 29
Assume a variable is coded as follows: 1=unmarried, 2=married, 3=divorced, and 4=widowed. Then which of the following measurement levels should be selected in SAS Enterprise Miner for this variable?
Response:

A. Nominal
B. Ordinal
C. Unary
D. Interval

正解：A

質問 # 30
In segment 2, what percentage of GiftAvgCard36 values are between 6.6638 and 11.998?
Select one:
Response:

A. 13.39%
B. 48.59%
C. 47.82%
D. 14.00%

正解：B

質問 # 31
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. misclassification
B. KS statistic
C. Gini coefficient
D. average squared error

正解：C

質問 # 32
The selected model, based on the misclassification rate for the validation data, has how many input variables?
Response:

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

正解：A

質問 # 33
Which model was picked as the best model by SAS Enterprise Miner?
Response:

A. Regression
B. Decision Tree (3-way)
C. Decision Tree
D. None of the above

正解：C

質問 # 34
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. TLDel3060Cnt24
B. TLTimeFirst
C. IMP_TLOpen24Pct
D. all of the above

正解：D

質問 # 35
Consider a binary target variable. Assume Accuracy is the desired assessment measure. Accuracy is not an option in the Decision Tree node. Which assessment measure can you use as a proxy for accuracy?
Select one:
Response:

A. Total Profit
B. Mean Square Error
C. Average Squared Error
D. 1 - Misclassification Rate

正解：D

質問 # 36
If the bank wanted to select the best model based on which model achieves the highest lift for the third decile in the validation data, then which of the following is the best model?
Response:

A. Regression
B. Neural Network
C. Decision Tree (3-way)
D. Decision Tree

正解：D

質問 # 37
Open the diagram labeled Practice A within the project labeled Practice A. Perform the following in SAS Enterprise Miner:

1. Set the Clustering method to Average.
2. Run the Cluster node.
What is the Importance statistic for MTGBal (Mortgage Balance)?
Response:

A. 0.42541
B. 0.60485
C. 0.42667
D. 0.32959

正解：B

質問 # 38
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 is the probability that TARGET=0 for ID=000355 in the training data?
Response:

A. 0.0658174098
B. 0.9341825902
C. 0.9220647773
D. 0.077935227

正解：C

質問 # 39
Look over the output from the Neural Network model. Which of the following statement(s) is (are) true?
Response:

A. The misclassification error for the test data is 0.154255.
B. The model has too few input variables.
C. All of the above
D. The optimization for the model has not been completed.

正解：D

質問 # 40
Which of the following is not a good reason to"regularize" input distributions using a simple transformation?
Response:

A. When you perform regression, inputs with highly skewed or highly kurtotic distributions can be selected over inputs that would yield better overall predictions.
B. Another benefit is ease in model interpretation.
C. One benefit is improved model performance.
D. Regression models are sensitive to extreme or outlying values in the input space.

正解：B

質問 # 41
How many unique indicator variables were created during imputation?
Response:

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

正解：B

質問 # 42
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 interval variables using the Tree method but do not impute the class variables
B. impute only class variables using the Tree method but do not impute the interval variables
C. not impute any missing values because trees can handle them.
D. impute all missing values using the Tree method

正解：C

質問 # 43
For the Variable Selection node, which statement describes the R-squared variable selection criterion?
Select one:
Response:

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

正解：D

質問 # 44
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. 1,000-1,599
C. 1,600 or higher
D. less than or equal to 299

正解：C

質問 # 45
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 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
C. the average of the absolute values of parameter estimates between the input and all of the hidden neurons
D. the highest absolute value of the parameter estimate between the input and any of the hidden neurons

正解：A

質問 # 46
Assume that a company has an excellent customer segmentation in place and the segment scheme is a variable in the input data set. What is the best partition method that one should use?
Select one:
Response:

A. Random
B. Systemic
C. Stratify
D. Cluster

正解：C

質問 # 47
If we were to add a Transformation node, what would be the default transformation for interval inputs for the present scenario?
Response:

A. none of the above
B. Maximum Normal
C. Maximum Correlation
D. Optimal

正解：A

質問 # 48
Refer to the following profit matrix and confusion matrix for a campaign soliciting product purchases. The predicted variable is a binary outcome.

Based on the above tables, what is the average profit? 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. 86.25
C. 6.9
D. 1

正解：A

質問 # 49
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 percentage of TARGET=1 as predicted by the best model on the scoring data is in which of the following ranges?
Response:

A. under 4.99%
B. 5%-5.99%
C. 7% or higher
D. 6%-6.99%

正解：A

質問 # 50
What is the number of missing values for the TLSum variable in the sample generated by SAS Enterprise Miner?
Response:

A. 1-19
B. 0
C. 20-39
D. 40 or more

正解：D

質問 # 51
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: