Ultimate Guide to Prepare A00-255 Certification Exam for SAS Institute SAS in 2025
Use Real A00-255 Dumps - SASInstitute Correct Answers updated on 2025
To prepare for the SASInstitute A00-255 certification exam, candidates can take advantage of various training resources offered by SAS, including e-learning courses, instructor-led training, and practice exams. Candidates can also use third-party study materials, such as books and online courses, to supplement their preparation. With proper preparation and practice, candidates can increase their chances of passing the A00-255 certification exam and advancing their careers in data science and analytics.
NEW QUESTION # 49
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 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. 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.
Answer: A
NEW QUESTION # 50
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
Answer: C
NEW QUESTION # 51
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. not impute any missing values because trees can handle them.
- C. impute only class variables using the Tree method but do not impute the interval variables
- D. impute all missing values using the Tree method
Answer: B
NEW QUESTION # 52
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. Backward
- D. Simple
Answer: B
NEW QUESTION # 53
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.
In the training data set, consider only those observations for which the actual value of the target variable equals 1, TARGET=1. What percentage of these observations is being correctly predicted by the decision tree?
Response:
- A. 0
- B. 14.6216
- C. 80.3571
- D. 66.6667
Answer: A
NEW QUESTION # 54
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. 5%-5.99%
- B. 6%-6.99%
- C. under 4.99%
- D. 7% or higher
Answer: C
NEW QUESTION # 55
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. lift
- B. confidence intervals
- C. specificity
- D. sensitivity
Answer: A
NEW QUESTION # 56
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. KS statistic
- B. average squared error
- C. Gini coefficient
- D. misclassification
Answer: C
NEW QUESTION # 57
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
Answer: C
NEW QUESTION # 58
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. Backward
- B. Stepwise
- C. Simple
- D. Forward
Answer: D
NEW QUESTION # 59
You are building a model to identify fraud. Your model will produce predictions that can be interpreted as the probability of fraud. You will pass on the top 100 scoring cases to management for investigation. Assume that you have sufficient data to hold out a validation and test data set for model evaluation.
Which selection would represent a reasonable ordering of fit statistics (best to worst) for this situation?
Select one:
Response:
- A. R-square, AIC, K-S statistic
- B. ASE, Lift for the top 10%, ROC index
- C. ROC index, ASE, misclassification rate
- D. Misclassification rate, ROC index, ASE
Answer: C
NEW QUESTION # 60
Which of the following solves problems for you when you impute missing values?
Response:
- A. When you impute a synthetic value, it eliminates the incomplete case problem.
- B. When you impute a synthetic value, each missing value becomes an input to the model.
- C. When you impute a synthetic value, predictive information is retained.
- D. When you impute a synthetic value, it replaces missing values with 1 or 0.
Answer: A
NEW QUESTION # 61
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. 30,000-39,999.99
- B. 20,000-29,999.99
- C. 40,000 or higher
- D. less than 19,999.99
Answer: D
NEW QUESTION # 62
Refer to the graphs shown below. The graphs are from a study of response rate to a marketing campaign.
How much more likely are the top 20% of targeted respondents to purchase the product than a randomly selected sample?
Select one:
Response:
- A. 30%
- B. 60%
- C. 25%
- D. 140%
Answer: D
NEW QUESTION # 63
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: Equal
- B. Sample Method: Stratify and Criterion: Equal
- C. Sample Method: Stratify and Criterion: Proportional
- D. Sample Method: Random and Criterion: Proportional
Answer: B
NEW QUESTION # 64
......
SAS Institute SAS -A00-255 Exam-Practice-Dumps: https://www.premiumvcedump.com/SASInstitute/valid-A00-255-premium-vce-exam-dumps.html
A00-255 Premium Files Test pdf - Free Dumps Collection: https://drive.google.com/open?id=1tZIjTYdqp9itHgAHMXx6QaaZxIVRMug6