[Sep 10, 2026] A00-240 PDF Questions and Testing Engine With 100 Questions
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NEW QUESTION # 18
Assume a $10 cost for soliciting a non-responder and a $200 profit for soliciting a responder. The logistic
regression model gives a probability score named P_R on a SAS data set called VALID. The VALID data
set contains the responder variable Pinch, a 1/0 variable coded as 1 for responder. Customers will be
solicited when their probability score is more than 0.05.
Which SAS program computes the profit for each customer in the data set VALID?
- A. Option C
- B. Option B
- C. Option A
- D. Option D
Answer: C
NEW QUESTION # 19
What does the Pearson product moment correlation coefficient measure?
- A. linear and monotonic association between two variables
- B. linear and nonmonotonic association between two variables
- C. nonlinear and monotonic association between two variables
- D. nonlinear and nonmonotonic association between two variables
Answer: A
NEW QUESTION # 20
Refer to the lift chart:
At a depth of 0.1, Lift = 3.14. What does this mean?
- A. Selecting the observations with a response probability of at least 10% should result in 3.14 times
greater accuracy than a random draw of 10%. - B. Selecting the top 10% of the population scored by the model should result in 3.14 times more events
than a random draw of 10%. - C. Selecting the observations with a response probability of at least 10% should result in 3.14 times more
events than a random draw of 10%. - D. Selecting the top 10% of the population scored by the model should result in 3.14 times greater
accuracy than a random draw of 10%.
Answer: B
NEW QUESTION # 21
Screening for non-linearity in binary logistic regression can be achieved by visualizing:
- A. A logistic regression plot of predicted probability values versus a predictor variable.
- B. A trend plot of empirical logit versus a predictor variable.
- C. A box plot of the odds ratio values versus a predictor variable.
- D. A scatter plot of binary response versus a predictor variable.
Answer: B
NEW QUESTION # 22
An analyst knows that the categorical predictor, storeId, is an important predictor of the target.
However, store_Id has too many levels to be a feasible predictor in the model. The analyst wants to combine stores and treat them as members of the same class level.
What are the two most effective ways to address the problem? (Choose two.)
- A. Cluster by using Greenacre's method to combine stores that are similar.
- B. Randomly combine the stores into five groups to keep the stochastic variation among the observations intact.
- C. Eliminate store_id as a predictor in the model because it has too many levels to be feasible.
- D. Use subject matter expertise to combine stores that are similar.
Answer: A,D
NEW QUESTION # 23
Refer to the confusion matrix:
Calculate the sensitivity. (0 - negative outcome, 1 - positive outcome)
Click the calculator button to display a calculator if needed.
- A. 25/B9
- B. 58/102
- C. 58/81
- D. 25/48
Answer: D
NEW QUESTION # 24
Suppose training data are oversampled in the event group to make the number of events and non-events roughly equal. A logistic regression is run and the probabilities are output to a data set NEW and given the variable name PE. A decision rule considered is, "Classify data as an event if probability is greater than 0.5." Also the data set NEW contains a variable TG that indicates whether there is an event (1=Event, 0= No event).
The following SAS program was used.
What does this program calculate?
- A. Sensitivity
- B. Specificity
- C. Depth
- D. Positive predictive value
Answer: A
NEW QUESTION # 25
While building a predictive model, median imputations are performed while preparing the training data.
How should the imputations be addressed in the validation data?
- A. The imputed values must be applied directly to the validation data without recalculation.
- B. The imputed values must be recalculated using both the training and the validation data.
- C. The imputed values are irrelevant to the validation data, and are not used.
- D. The imputed values must be recalculated using the validation data.
Answer: D
NEW QUESTION # 26
A marketing manager attempts to determine those customers most likely to purchase additional products as the result of a nation-wide marketing campaign.
The manager possesses a historical dataset (CAMPAIGN) of a similar campaign from last year.
It has the following characteristics:
-Target variable Respond (0,1) -Continuous predictor Income -Categorical predictor Homeowner(Y,N)
Which SAS program performs this analysis?
- A. Option C
- B. Option B
- C. Option A
- D. Option D
Answer: C
NEW QUESTION # 27
An analyst knows that the categorical predictor, zip_code, is an important predictor of a binary target.
However, zip_code has too many levels to be a feasible predictor in a model. The analyst uses PROC CLUSTER to implement Greenacre's method to reduce the number of categorical levels.
What is the correct application of Greenacre's method in this situation?
- A. Clustering the levels using the zip_code values as input.
- B. Clustering the levels using the number of cases in each zip_code as input.
- C. Clustering the levels using the target proportion for each zip_code as input.
- D. Clustering the levels using dummy coded zip_code levels as inputs.
Answer: C
Explanation:
Explanation/Reference: https://support.sas.com/resources/papers/proceedings/proceedings/sugi31/079-31.pdf
NEW QUESTION # 28
The total modeling data has been split into training, validation, and test data. What is the best data to use for model assessment?
- A. Total data
- B. Training data
- C. Validation data
- D. Test data
Answer: C
NEW QUESTION # 29
Which SAS program will correctly use backward elimination selection criterion within the REG procedure?
- A. Option C
- B. Option B
- C. Option D
- D. Option A
Answer: B
NEW QUESTION # 30
An analyst fits a logistic regression model to predict whether or not a client will default on a loan. One of
the predictors in the model is agent, and each agent serves 15-20 clients each. The model fails to
converge. The analyst prints the summarized data, showing the number of defaulted loans per agent. See
the partial output below:
What is the most likely reason that the model fails to converge?
- A. There is collinearity among the predictors.
- B. There are missing values in the data.
- C. There is quasi-complete separation in the data.
- D. There are too many observations in the data.
Answer: C
NEW QUESTION # 31
Assume a $10 cost for soliciting a non-responder and a $200 profit for soliciting a responder. The logistic regression model gives a probability score named P_R on a SAS data set called VALID. The VALID data set contains the responder variable Pinch, a 1/0 variable coded as 1 for responder. Customers will be solicited when their probability score is more than 0.05.
Which SAS program computes the profit for each customer in the data set VALID?
- A. Option C
- B. Option B
- C. Option A
- D. Option D
Answer: C
NEW QUESTION # 32
Refer to the REG procedure output:
An analyst has selected this model as a champion because it shows better model fit than a competing model with more predictors.
Which statistic justifies this rationale?
- A. Error DF
- B. Adj R-Sq
- C. R-Square
- D. Coeff Var
Answer: B
NEW QUESTION # 33
Refer to the lift chart:
At a depth of 0.1, Lift = 3.14. What does this mean?
- A. Selecting the observations with a response probability of at least 10% should result in 3.14 times greater accuracy than a random draw of 10%.
- B. Selecting the observations with a response probability of at least 10% should result in 3.14 times more events than a random draw of 10%.
- C. Selecting the top 10% of the population scored by the model should result in 3.14 times greater accuracy than a random draw of 10%.
- D. Selecting the top 10% of the population scored by the model should result in 3.14 times more events than a random draw of 10%.
Answer: D
NEW QUESTION # 34
This question will ask you to provide a segment of missing code.
The following code is used to create missing value indicator variables for input variables, fred1 to fred7.
Which segment of code would complete the task?
- A.
- B.
- C.
- D.
Answer: B
NEW QUESTION # 35
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