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Pass SAS Institute SAS A00-255 Exam With 87 Questions
Becoming certified in SAS Predictive Modeling using SAS Enterprise Miner 14 demonstrates a high level of proficiency in data analysis and modeling techniques. It provides a competitive advantage in the job market and validates one’s skills to potential employers. Additionally, SAS certification is recognized globally and demonstrates a commitment to excellence in the field of data analytics.
NEW QUESTION # 35
Which statement describes the Decision Tree Split Search mechanism for categorical inputs?
Select one:
Response:
- A. 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.
- B. All levels are weighted and the weights are used for testing.
- C. 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.
Answer: C
NEW QUESTION # 36
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 squared correlation and then a stepwise regression to eliminate irrelevant inputs.
- C. It looks for a set of colinear inputs that correlate with the target.
- D. It uses a chi-squared Decision Tree with no Bonferoni adjustment to select the relevant inputs.
Answer: B
NEW QUESTION # 37
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. 0.21
- B. 0.27
- C. 0.18
- D. 0.82
Answer: C
NEW QUESTION # 38
Perform this task using SAS Enterprise Miner:
Continue to use the same diagram. Use an Ensemble node (configure using default options) in SAS Enterprise Miner to combine all four models.
The percentage of observations correctly predicted in the validation data by the Ensemble model is in which of the following ranges?
Response:
- A. 90-93.99%-
- B. less than 83.99%
- C. 84-89.99%
- D. 94% or higher
Answer: B
NEW QUESTION # 39
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:
- A. change of odds for TARGET=1 by a factor 0.708
- B. reduction of odds for TARGET=1 by 0.3457
- C. reduction of odds for TARGET=1 by 0.708
- D. change of odds for TARGET=1 by a factor 0.3457
Answer: A
NEW QUESTION # 40
What percentage of observations in the test data has TARGET=1?
Response:
- A. 16.8874
- B. 83.3333
- C. 16.5924
- D. 16.6627
Answer: A
NEW QUESTION # 41
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. 0.60485
- B. 0.42667
- C. 0.42541
- D. 0.32959
Answer: A
NEW QUESTION # 42
Assume the Target has an event proportion of 2% in the original data. Which of the following property values should be used in the Sample node of SAS Enterprise Miner to create a sample from that data with a balanced 50/50 split for Target?
Select one:
Response:
- A. Sample Method: Random and Criterion: Proportional
- B. Sample Method: Random and Criterion: Equal
- C. Sample Method: Stratify and Criterion: Equal
- D. Sample Method: Stratify and Criterion: Proportional
Answer: C
NEW QUESTION # 43
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
Answer: A
NEW QUESTION # 44
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. 11-15
- B. 16 or more
- C. less than or equal to 5
- D. 6-10
Answer: B
NEW QUESTION # 45
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. Simple
- B. Backward
- C. Stepwise
- D. Forward
Answer: D
NEW QUESTION # 46
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. less than 19,999.99
- C. 30,000-39,999.99
- D. 20,000-29,999.99
Answer: B
NEW QUESTION # 47
What is the kurtosis value for the variable TLDel60Cnt24?
Response:
- A. between 10 and 13.99
- B. 17 or higher
- C. less than 10
- D. between 14 and 16.99
Answer: D
NEW QUESTION # 48
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
Answer: B
NEW QUESTION # 49
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. 0.05
- B. 1.2
- C. 0
- D. 0.8
Answer: A
NEW QUESTION # 50
For an ordinal variable with L levels, the number of possible splits in a decision tree is which of the following?
Response:
- A. 2L
- B. 2L-1-1
- C. 2L-1
- D. (L-1)/1
Answer: B
NEW QUESTION # 51
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
Answer: C
NEW QUESTION # 52
Which of the following solves problems for you when you impute missing values?
Response:
- A. When you impute a synthetic value, predictive information is retained.
- B. When you impute a synthetic value, it eliminates the incomplete case problem.
- C. When you impute a synthetic value, it replaces missing values with 1 or 0.
- D. When you impute a synthetic value, each missing value becomes an input to the model.
Answer: B
NEW QUESTION # 53
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. Backward
- C. Forward
- D. Stepwise
Answer: A
NEW QUESTION # 54
What is the number of missing values for the TLSum variable in the sample generated by SAS Enterprise Miner?
Response:
- A. 40 or more
- B. 1-19
- C. 0
- D. 20-39
Answer: A
NEW QUESTION # 55
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. 16.8874%
- D. 83.1126%
Answer: D
NEW QUESTION # 56
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:
- A. 67409.93
- B. 5862.76
- C. 14.69
- D. 5.00
Answer: C
NEW QUESTION # 57
Choose the correct statement that illustrates Decision Tree Split Search for continuous (interval) inputs:
Select one:
Response:
- A. 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.
- B. The variable goes through a non-linear transformation, and the transformed variable is used for testing.
- C. Each unique value has the potential of being the optimal split point, except for the extreme observation.
- D. Each unique value has the potential of being the optimal split point.
Answer: D
NEW QUESTION # 58
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. Simple
- B. Backward
- C. Forward
- D. Stepwise
Answer: D
NEW QUESTION # 59
In segment 2, what percentage of GiftAvgCard36 values are between 6.6638 and 11.998?
Select one:
Response:
- A. 14.00%
- B. 48.59%
- C. 47.82%
- D. 13.39%
Answer: B
NEW QUESTION # 60
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