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NEW QUESTION # 28
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. 0.14
- C. 0.16
- D. 0.20
Answer: B
NEW QUESTION # 29
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. TLDel3060Cnt24
- C. InqFinanceCnt24.
- D. TLDel90Cnt24
Answer: B
NEW QUESTION # 30
Refer to the exhibit:
The SAS data set credit_customers contains a numeric variable units_sold that holds only the values: 1, 2, 3, 4. Based on the settings provided in the Advanced Advisor Options, what will be the Role and Level of the units_sold variable when the credit_customers data set is created using Advanced Metadata Advisor in the Data Source Wizard?
Select one:
Response:
- A. Role: RejectedLevel: Nominal
- B. Role: InputLevel: Interval
- C. Role: IntervalLevel: Input
- D. Role: InputLevel: Nominal
Answer: D
NEW QUESTION # 31
For the variable InqTimeLast, which term best describes the shape of its distribution?
Response:
- A. symmetric
- B. left skewed
- C. bimodal
- D. right skewed
Answer: D
NEW QUESTION # 32
How many hidden layers are generally needed in an MLP-based neural network to capture a discontinuous relationship between inputs and target?
Response:
- A. two hidden layers
- B. no hidden layer, direct connection between inputs and output is preferred
- C. one hidden layer
- D. three or more hidden layers
Answer: A
NEW QUESTION # 33
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. average squared error
- D. Gini coefficient
Answer: D
NEW QUESTION # 34
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. 0.82
- B. 0.18
- C. 0.21
- D. 0.27
Answer: B
NEW QUESTION # 35
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. 11-15
- C. 16 or more
- D. less than or equal to 5
Answer: C
NEW QUESTION # 36
What is the kurtosis value for the variable TLDel60Cnt24?
Response:
- A. between 14 and 16.99
- B. less than 10
- C. 17 or higher
- D. between 10 and 13.99
Answer: A
NEW QUESTION # 37
In SAS Enterprise Miner's Decision Tree node, which of the following types of target variable can be used?
Response:
- A. binary
- B. all of the above
- C. nominal with any number of categories
- D. interval
Answer: B
NEW QUESTION # 38
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, except for the extreme observation.
- 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. The variable goes through a non-linear transformation, and the transformed variable is used for testing.
Answer: B
NEW QUESTION # 39
In segment 2, what percentage of GiftAvgCard36 values are between 6.6638 and 11.998?
Select one:
Response:
- A. 13.39%
- B. 47.82%
- C. 14.00%
- D. 48.59%
Answer: D
NEW QUESTION # 40
Which of the following solves problems for you when you impute missing values?
Response:
- A. When you impute a synthetic value, it replaces missing values with 1 or 0.
- B. When you impute a synthetic value, it eliminates the incomplete case problem.
- C. When you impute a synthetic value, each missing value becomes an input to the model.
- D. When you impute a synthetic value, predictive information is retained.
Answer: B
NEW QUESTION # 41
What percentage of observations in the test data has TARGET=1?
Response:
- A. 16.6627
- B. 16.8874
- C. 83.3333
- D. 16.5924
Answer: B
NEW QUESTION # 42
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
- B. 2L-1-1
- C. 2L
- D. (L-1)/1
Answer: B
NEW QUESTION # 43
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. 85.2222%
- C. 83.1126%
- D. 16.8874%
Answer: C
NEW QUESTION # 44
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 highest absolute value of the parameter estimate between the input and any of the hidden neurons
- 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. none of the above
Answer: D
NEW QUESTION # 45
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. Interval
- C. Ordinal
- D. Unary
Answer: A
NEW QUESTION # 46
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 levels that have target rate of 0 or 100% are re-binned first, then weighted and the weights are used for testing.
- 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 average target value is calculated for each level, and then passed on for testing if it is the optimal split point.
Answer: D
NEW QUESTION # 47
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. Decision Tree
- B. Regression
- C. Decision Tree (3-way)
- D. Neural Network
Answer: A
NEW QUESTION # 48
Which of the following sequential selection methods do you use so that SAS Enterprise Miner will look at all variables already included in the model and delete any variable that is not significant at the specified level?
Response:
- A. None
- B. Forward
- C. Stepwise
- D. Backward
Answer: A
NEW QUESTION # 49
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. Simple
- D. Backward
Answer: B
NEW QUESTION # 50
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 all missing values using the Tree method
- C. impute only class variables using the Tree method but do not impute the interval variables
- D. not impute any missing values because trees can handle them.
Answer: D
NEW QUESTION # 51
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 essential item sales is approximately normal and Segment 1 contains stores selling fewer than average essential items.
- B. The overall distribution of essential item sales is right skewed and Segment 4 contains stores selling higher than average essential items.
- C. The overall distribution of bargain item sales is left-skewed and Segment 4 contains stores selling fewer than average bargain items.
- D. The overall distribution of bargain item sales is approximately normal and Segment 1 contains stores selling fewer than average bargain items.
Answer: D
NEW QUESTION # 52
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. Stratify
- B. Cluster
- C. Systemic
- D. Random
Answer: A
NEW QUESTION # 53
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