[2025年04月10日] 最新SAS Institute SAS A00-255実際の無料試験解答 [Q12-Q35]

[2025年04月10日] 最新SAS Institute SAS A00-255実際の無料試験解答

SAS Institute SAS A00-255問題集最新の練習テスト87独特な解答

SAS Institute A00-255試験は、SAS Enterprise Miner 14を使用した予測モデリングの知識と経験を獲得したい専門家を対象としています。この試験では、データ探索、可変選択、モデル構築、モデル評価、展開などのトピックをカバーしています。この試験は、大規模なデータセットを扱い、予測モデリングを使用してデータ駆動型の決定を下したい専門家を対象としています。

SASInstitute A00-255試験は、データを扱うすべての人に適しており、SAS Enterprise Miner 14を使用した予測モデリングの専門知識を証明したい人に最適です。この認定資格は、特にビジネスアナリティクス、データ分析、マーケットリサーチ、データサイエンス、データ管理のプロフェッショナルにとって有益です。この認定資格を取得することで、候補者がSAS Enterprise Miner 14の熟練度を証明するだけでなく、継続的な学習と職業的成長への取り組みを示すことができます。

SASINSTITUTE A00-255（SAS Enterprise Miner 14を使用したSAS予測モデリング）認証試験は、SAS Enterprise Miner 14を使用した予測モデリングの分野の候補者の知識とスキルを検証するグローバルに認められた認定です。この認定試験は、データアナリスト向けに設計されています。、統計学者、およびSAS Enterprise Miner 14を使用した予測モデリングとデータ分析の習熟度を高めたいIT専門家。

質問 # 12
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. KS statistic
C. misclassification
D. Gini coefficient

正解：D

質問 # 13
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. 2*b1
B. 2*log(b1)
C. 0.69/b1
D. 2/log(b1)

正解：C

質問 # 14
Impute the missing values for the variable TLSum using the Tree method. What is the mean of the new variable (with the imputed values)?
Response:

A. 20,000-29,999.99
B. 30,000-39,999.99
C. less than 19,999.99
D. 40,000 or higher

正解：C

質問 # 15
Which method of input selection for regression analysis evaluates the statistical significance of the total model to see if it improves on the baseline as the variables are added and once no further improvement is made then variable selection ends?
Select one:
Response:

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

正解：A

質問 # 16
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. create convergence problems in maximum likelihood estimation
C. neither increase nor decrease the performance of logistic regression
D. decrease the performance of logistic regression

正解：A

質問 # 17
If we were to add a Transformation node, what would be the default transformation for interval inputs for the present scenario?
Response:

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

正解：D

質問 # 18
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. 1.5-1.74999
D. 0-1.24999

正解：C

質問 # 19
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. 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.
C. Each unique value has the potential of being the optimal split point, except for the extreme observation.
D. The variable goes through a non-linear transformation, and the transformed variable is used for testing.

正解：A

質問 # 20
What is the number of missing values for the TLSum variable in the sample generated by SAS Enterprise Miner?
Response:

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

正解：B

質問 # 21
How many hidden layers are generally needed in an MLP-based neural network to capture a discontinuous relationship between inputs and target?
Response:

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

正解：C

質問 # 22
The number of neurons 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 # 23
-> 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).
- Allow for 1 substitute rule in case the variable for the primary splitting rule is missing.
- Disable pruning for the decision tree.
-> 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.
-> Run the process flow.
What is the number of input variables being used by the Neural Network Model?
Enter your numeric answer in the space below:
Response:

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

正解：A

質問 # 24
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：B

質問 # 25
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. Stepwise
B. Backward
C. Forward
D. Simple

正解：A

質問 # 26
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. Neural Network
B. Decision Tree (3-way)
C. Regression
D. Decision Tree

正解：D

質問 # 27
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.
The number of parameters (weights) estimated by the Neural Network model is in which of the following ranges?
Response:

A. 6-10
B. less than or equal to 5
C. 11-15
D. 16 or more

正解：D

質問 # 28
Look over the output from the Neural Network model. Which of the following statement(s) is (are) true?
Response:

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

正解：C

質問 # 29
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. Regression models are sensitive to extreme or outlying values in the input space.
D. When you perform regression, inputs with highly skewed or highly kurtotic distributions can be selected over inputs that would yield better overall predictions.

正解：B

質問 # 30
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. 0.42667
B. 0.32959
C. 0.42541
D. 0.60485

正解：D

質問 # 31
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. 84.5212%
B. 83.1126%
C. 85.2222%
D. 16.8874%

正解：B

質問 # 32
Which model was picked as the best model by SAS Enterprise Miner?
Response:

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

正解：D

質問 # 33
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. InqFinanceCnt24.
D. TLDel3060Cnt24

正解：D

質問 # 34
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 Cubic Clustering Criterion statistic for this clustering?
Response: