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SAS A00-240 Exam Questions
- Topic 1: Identify the potential challenges when preparing input data for a model/ Detect and analyze interactions between factors
- Topic 2: Model selection and validation using training and validation data/ Perform ANOVA post hoc test to evaluate treatment effect
- Topic 3: Establish effective decision cut-off values for scoring/ Fit a multiple linear regression model using the REG and GLM procedures
- Topic 4: Create and interpret graphs (ROC, lift, and gains charts) for model comparison and selection/ Use the REG or GLMSELECT procedure to perform model selection
- Topic 5: Screen variables for irrelevance and non-linear association using the CORR procedure/ Perform logistic regression with the LOGISTIC procedure
- Topic 6: Screen variables for non-linearity using empirical logit plots/ Score new data sets using the LOGISTIC and PLM procedures
- Topic 7: Apply the principles of honest assessment to model performance measurement/ Optimize model performance through input selection
- Topic 8: Analyze differences between population means using the GLM and TTEST procedures/ Assess classifier performance using the confusion matrix
- Topic 9: Assess the validity of a given regression model through the use of diagnostic and residual analysis/ Prepare Inputs for Predictive Model Performance
- Topic 10: Analyze the output of the REG, PLM, and GLM procedures for multiple linear regression models/ Improve the predictive power of categorical inputs
Free SAS A00-240 Exam Actual Questions
Note: Premium Questions for A00-240 were last updated On Jun. 25, 2025 (see below)
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?
The selection criterion used in the forward selection method in the REG procedure is:
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?
Given the following SAS data set TEST:
Which SAS program is NOT a correct way to create dummy variables?
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?
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