[2025年03月05日]A00-255試験問題集でリアル試験と100%同じ問題と解答
A00-255テストエンジン問題集トレーニングには87問あります
Sasinstitute A00-255は、SAS Enterprise Miner 14を使用した予測モデリングの専門知識を実証したい専門家向けに設計された認定試験です。この試験は、データ分析、モデル構築、展開における候補者のスキルと知識をテストする高度なレベルの認定です。 SAS Enterprise Minerを使用します。
SASInstituteのA00-255試験に合格することは、候補者がSAS Enterprise Minerを使用した予測モデリングに強い基盤を持っていることを雇用主や同僚に示すことを意味します。これは、予測モデリングやデータマイニングにSASを使用することに興味のあるデータアナリスト、データサイエンティスト、ビジネスアナリストにとって貴重な認定です。SAS Instituteでは、SASプログラミング、データ管理、ビジネスインテリジェンスの他のさまざまな認定を提供しており、候補者がSASのスキルと知識をさらに向上させることができます。
質問 # 23
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. Cluster
- B. Random
- C. Systemic
- D. Stratify
正解：D
質問 # 24
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/log(b1)
- B. 2*b1
- C. 0.69/b1
- D. 2*log(b1)
正解：C
質問 # 25
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. 25-49.99
- B. 0-24.99
- C. 50-74.99
- D. 75 or more
正解：D
質問 # 26
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 # 27
Assume you have two equally appealing logistic regression models. Then, if you have to select only one out of these two models, you should select the one that has which of the following?
Response:
- A. all of the above
- B. higher value of AIC (Akaike,s information criterion)
- C. smaller value of gamma
- D. smaller value of SBC (Schwarz,s Bayesian criterion)
正解：D
質問 # 28
What is the variable worth of the PromCntCardAll variable in Segment 1?
Select one:
Response:
- A. 0.24914
- B. 0.10844
- C. 0.27649
- D. 0.24169
正解：C
質問 # 29
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 # 30
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 # 31
What is the kurtosis value for the variable TLDel60Cnt24?
Response:
- A. 17 or higher
- B. between 14 and 16.99
- C. between 10 and 13.99
- D. less than 10
正解：B
質問 # 32
Which model was picked as the best model by SAS Enterprise Miner?
Response:
- A. Regression
- B. Decision Tree (3-way)
- C. None of the above
- D. Decision Tree
正解：D
質問 # 33
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. sensitivity
- B. confidence intervals
- C. lift
- D. specificity
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. TLTimeFirst
- B. TLDel3060Cnt24
- C. all of the above
- D. IMP_TLOpen24Pct
正解：C
質問 # 35
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. 0.86
- B. 0.20
- C. 0.14
- D. 0.16
正解：C
質問 # 36
In SAS Enterprise Miner's Decision Tree node, which of the following types of target variable can be used?
Response:
- A. interval
- B. all of the above
- C. binary
- D. nominal with any number of categories
正解：B
質問 # 37
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. Interval
- B. Ordinal
- C. Unary
- D. Nominal
正解：D
質問 # 38
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. 40,000 or higher
- B. 30,000-39,999.99
- C. 20,000-29,999.99
- D. less than 19,999.99
正解：D
質問 # 39
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. 1.2
- B. 0
- C. 0.8
- D. 0.05
正解：D
質問 # 40
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A00-255問題で一発合格させる問題集にはSAS Institute SAS認定問題を使おう：https://drive.google.com/open?id=1-Na-bQzW31OVuObjl-vWoLKDav7A_DF8