A00-240 Exam Questions - Real & Updated Questions PDF
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NEW QUESTION # 13
Refer to the exhibit:
Based upon the comparative ROC plot for two competing models, which is the champion model and why?
- A. Candidate 2, because the area under the curve is greater
- B. Candidate 1, because it is closer to the diagonal reference curve
- C. Candidate 2, because it shows less over fit than Candidate 1
- D. Candidate 1, because the area outside the curve is greater
Answer: A
NEW QUESTION # 14
The question will ask you to provide a missing statement. Given the following SAS program:
Which SAS statement will complete the program to correctly score the data set NEW_DATA?
- A. Score data data=MYDIR.NEW_DATA out=scores;
- B. Score data=HYDIR.NEU_DATA output=scores;
- C. Score data data=MYDIR.NEW_DATA output=scores;
- D. Score data=MYDIR, NEW DATA out=scores;
Answer: D
NEW QUESTION # 15
This question will ask you to provide a missing option.
Complete the following syntax to test the homogeneity of variance assumption in the GLM procedure:
Means Region / <insert option here> =levene;
- A. hovtest
- B. adjust
- C. var
- D. test
Answer: A
NEW QUESTION # 16
Refer to the REG procedure output:
Click on the calculator button to display a calculator if needed.
- A. 0.4115
- B. 0.1372
- C. 0.5884
- D. 0.6994
Answer: A
NEW QUESTION # 17
Refer to the exhibit:
SAS output from the RSQUARE selection method, within the REG procedure, is shown. The top two models in each subset are given.
Based on the exhibit, which statement is true?
- A. Adjusted R-Square and R-Square agree on the champion model.
- B. The AIC champion model is more parsimonious than the SBC champion.
- C. The R-Square champion model is the most parsimonious.
- D. The SBC champion model is more parsimonious than the AIC champion.
Answer: D
NEW QUESTION # 18
Consider scoring new observations in the SCORE procedure versus the SCORE statement in the LOGISTIC procedure.
Which statement is true?
- A. The SCORE statement in the LOGISTIC procedure returns only predicted logits, whereas the SCORE procedure returns only predicted probabilities.
- B. The SCORE statement in the LOGISTIC procedure returns only predicted probabilities, whereas the SCORE procedure returns only predicted logits.
- C. The SCORE procedure and the SCORE statement in the LOGISTIC procedure produce the same output.
- D. Unlike the SCORE procedure, the SCORE statement in the LOGISTIC procedure produces both predicted probabilities and predicted logits.
Answer: B
Explanation:
Explanation/Reference:
NEW QUESTION # 19
Refer to the following odds ratio table:
What is a correct interpretation of the estimate?
- A. The odds of the event are 1.142 greater for each one thousand dollar increase in salary.
- B. The probability of the event is 1.142 greater for each one thousand dollar increase in salary.
- C. The odds of the event are 1.142 greater for each one dollar increase in salary.
- D. The probability of the event is 1.142 greater for each one dollar increase in salary.
Answer: A
NEW QUESTION # 20
A linear model has the following characteristics:
* A dependent variable (y)
* Three continuous predictor variables (x1-x3)
* One categorical predictor variable (c1 with 3 levels)
Which SAS program fits this model?
- A. Option A
- B. Option B
- C. Option D
- D. Option C
Answer: C
NEW QUESTION # 21
Given the following SAS data set TEST:
Which SAS program is NOT a correct way to create dummy variables?
- A. Option A
- B. Option B
- C. Option D
- D. Option C
Answer: C
NEW QUESTION # 22
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 D
- B. Option B
- C. Option C
- D. Option A
Answer: D
NEW QUESTION # 23
Refer to the following odds ratio table:
What is a correct interpretation of the estimate?
- A. The odds of the event are 1.142 greater for each one thousand dollar increase in salary.
- B. The probability of the event is 1.142 greater for each one thousand dollar increase in salary.
- C. The odds of the event are 1.142 greater for each one dollar increase in salary.
- D. The probability of the event is 1.142 greater for each one dollar increase in salary.
Answer: A
NEW QUESTION # 24
In order to perform honest assessment on a predictive model, what is an acceptable division between training, validation, and testing data?
- A. Training: 50% Validation: 0% Testing: 50%
- B. Training: 100% Validation: 0% Testing: 0%
- C. Training: 0% Validation: 100% Testing: 0%
- D. Training: 50% Validation: 50% Testing: 0%
Answer: D
NEW QUESTION # 25
Within PROC GLM, the interaction between the two categorical predictors, Income and Gender, was shown to be significant. An item store was saved from the GLM analysis.
Which statement from PROC PLM would test the significance of Gender within each level of Income and adjust for multiple tests?
sliceby Gender / adjust=tukey;
- A. slice Income*Gender / sliceby=Gender adjust=tukey;
- B. slice Income*Gender / sliceby=Income adjust=tukey;
- C.
- D. sliceby Income / adjust=tukey;
Answer: C
NEW QUESTION # 26
Refer to the exhibit.
Given alpha=0.02, which conclusion is justified regarding percentage of body fat, comparing small (S), medium (M), and large (L) wrist sizes?
- A. Large wrist size is significantly different than small wrist size.
- B. Medium wrist size is significantly different than small wrist size.
- C. Large wrist size is significantly different than medium wrist size.
- D. There is no significant difference due to wrist size.
Answer: A
NEW QUESTION # 27
Which statistic, calculated from a validation sample, can help decide which model to use for prediction of a binary target variable?
- A. Mallow's Cp
- B. Average Squared Error
- C. Adjusted R Square
- D. Chi Square
Answer: B
NEW QUESTION # 28
What is the default method in the LOGISTIC procedure to handle observations with missing data?
- A. Parameters are estimated accounting for the missing values.
- B. Parameter estimates are made on all available data.
- C. Only cases with variables that are fully populated are used.
- D. Missing values are imputed.
Answer: C
NEW QUESTION # 29
Refer to the exhibit:
SAS output from the RSOUARE selection method, within the REG procedure, is shown. The top two models in each subset are given.
Based on the AIC statistic, which model is the champion model?
- A. RestPulse
- B. Age Weight RunTime RunPulse MaxPulse
- C. RunTime
- D. Age Weight RunTime RunPulse RestPulse MaxPulse
Answer: B
NEW QUESTION # 30
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. Randomly combine the stores into five groups to keep the stochastic variation among the observations intact.
- B. Eliminate store_id as a predictor in the model because it has too many levels to be feasible.
- C. Use subject matter expertise to combine stores that are similar.
- D. Cluster by using Greenacre's method to combine stores that are similar.
Answer: C,D
NEW QUESTION # 31
Which of the following describes a concordant pair of observations in the LOGISTIC procedure?
- A. An observation with the event has a lower predicted probability than the observation without the event.
- B. An observation with the event has a higher predicted probability than the observation without the event
- C. An observation with the event has an equal probability as another observation with the event.
- D. An observation with the event has an equal predicted probability as the observation without the event.
Answer: B
NEW QUESTION # 32
Which statistic is based on the maximum vertical distance between the primary event EDF and the secondary event EDF?
- A. Brier Score
- B. SBC
- C. Max EDF
- D. KS
Answer: D
Explanation:
Explanation/Reference: https://support.sas.com/documentation/onlinedoc/ets/132/severity.pdf
NEW QUESTION # 33
A researcher is planning a logistic regression to model the probability of disease occurrence. The researcher determines the rate of disease occurrence in the population is 1%.
For which of the following would this study be a candidate?
- A. over fitting
- B. oversampling
- C. multicollinearity
- D. simple random sample
Answer: C
NEW QUESTION # 34
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. Positive predictive value
- C. Specificity
- D. Depth
Answer: A
NEW QUESTION # 35
A confusion matrix is created for data that were oversampled due to a rare target.
What values are not affected by this oversampling?
- A. Sensitivity and PV+
- B. PV+ and PV
- C. Specificity and PV
- D. Sensitivity and Specificity
Answer: D
NEW QUESTION # 36
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. Option A
- B. Option D
- C. Option C
- D. Option B
Answer: C
NEW QUESTION # 37
What is the default method in the LOGISTIC procedure to handle observations with missing data?
- A. Parameters are estimated accounting for the missing values.
- B. Parameter estimates are made on all available data.
- C. Only cases with variables that are fully populated are used.
- D. Missing values are imputed.
Answer: C
Explanation:
Explanation/Reference:
NEW QUESTION # 38
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