File Info
| Exam | SAS Statistical Business Analysis SAS9: Regression and Model |
| Number | A00-240 |
| File Name | SASInstitute.A00-240.ExamLabs.2019-12-17.39q.vcex |
| Size | 2 MB |
| Posted | Dec 17, 2019 |
| Download | SASInstitute.A00-240.ExamLabs.2019-12-17.39q.vcex |
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Demo Questions
Question 1
Refer to the ROC curve:
As you move along the curve, what changes?
- The priors in the population
- The true negative rate in the population
- The proportion of events in the training data
- The probability cutoff for scoring
Correct answer: D
Question 2
When mean imputation is performed on data after the data is partitioned for honest assessment, what is the most appropriate method for handling the mean imputation?
- The sample means from the validation data set are applied to the training and test data sets.
- The sample means from the training data set are applied to the validation and test data sets.
- The sample means from the test data set are applied to the training and validation data sets.
- The sample means from each partition of the data are applied to their own partition.
Correct answer: B
Question 3
An analyst generates a model using the LOGISTIC procedure. They are now interested in getting the sensitivity and specificity statistics on a validation data set for a variety of cutoff values.
Which statement and option combination will generate these statistics?
- Score data=valid1 out=roc;
- Score data=valid1 outroc=roc;
- mode1 resp(event= '1') = gender region/outroc=roc;
- mode1 resp(event"1") = gender region/ out=roc;
Correct answer: B
Question 4
In partitioning data for model assessment, which sampling methods are acceptable? (Choose two.)
- Simple random sampling without replacement
- Simple random sampling with replacement
- Stratified random sampling without replacement
- Sequential random sampling with replacement
Correct answer: AC
Question 5
Which SAS program will divide the original data set into 60% training and 40% validation data sets, stratified by county?
- Option A
- Option B
- Option C
- Option D
Correct answer: C
Question 6
Refer to the exhibit:
The plots represent two models, A and B, being fit to the same two data sets, training and validation.
Model A is 90.5% accurate at distinguishing blue from red on the training data and 75.5% accurate at doing the same on validation data. Model B is 83% accurate at distinguishing blue from red on the training data and 78.3% accurate at doing the same on the validation data.
Which of the two models should be selected and why?
- Model A. It is more complex with a higher accuracy than model B on training data.
- Model A. It performs better on the boundary for the training data.
- Model B. It is more complex with a higher accuracy than model A on validation data.
- Model B. It is simpler with a higher accuracy than model A on validation data.
Correct answer: D
Question 7
In order to perform honest assessment on a predictive model, what is an acceptable division between training, validation, and testing data?
- Training: 50% Validation: 0% Testing: 50%
- Training: 100% Validation: 0% Testing: 0%
- Training: 0% Validation: 100% Testing: 0%
- Training: 50% Validation: 50% Testing: 0%
Correct answer: D
Question 8
A marketing campaign will send brochures describing an expensive product to a set of customers. The cost for mailing and production per customer is $50. The company makes $500 revenue for each sale.
What is the profit matrix for a typical person in the population?
- Option A
- Option B
- Option C
- Option D
Correct answer: C
Question 9
A confusion matrix is created for data that were oversampled due to a rare target.
What values are not affected by this oversampling?
- Sensitivity and PV+
- Specificity and PV-
- PV+ and PV-
- Sensitivity and Specificity
Correct answer: D
Question 10
This question will ask you to provide missing code segments.
A logistic regression model was fit on a data set where 40% of the outcomes were events (TARGET=1) and 60% were non-events (TARGET=0). The analyst knows that the population where the model will be deployed has 5% events and 95% non-events. The analyst also knows that the company's profit margin for correctly targeted events is nine times higher than the company's loss for incorrectly targeted non-event.
Given the following SAS program:
What X and Y values should be added to the program to correctly score the data?
- X=40, Y=10
- X=.05, Y=10
- X=.05, Y=.40
- X=.10, Y=05
Correct answer: B
