SAS Institute A00-240 Online Practice Questions and Exam Preparation

SAS Institute A00-240 Online Questions & Answers

• Question 21:

  DRAG DROP

  Drag the adjustment formulas for oversamping from the left and place them into the correct location in the confusion matrix shown on the right.

  Select and Place:

  

  

• Question 22:

  An analyst investigates Region (A, B, or C) as an input variable in a logistic regression model. The analyst discovers that the probability of purchasing a certain item when Region = A is 1. What problem does this illustrate?

  A. Collinearity
  B. Influential observations
  C. Quasi-complete separation
  D. Problems that arise due to missing values
  C. Quasi-complete separation

• Question 23:

  When working with smaller data sets (N<200), which method is preferred to perform honest assessment?

  A. Training: 40% Validation: 30% Testing: 30%
  B. K-fold cross validation
  C. Cross validation using 4th quartile observations
  D. Use the AIC goodness of fit statistic
  C. Cross validation using 4th quartile observations

• Question 24:

  This question will ask you to provide a missing option. Given the following SAS program:

  

  What option must be added to the program to obtain a data set containing Spearman statistics?

  A. OUTCORR=estimates
  B. OUTS=estimates
  C. OUT=estimates
  D. OUTPUT=estimates
  D. OUTPUT=estimates

• Question 25:

  An analyst has a sufficient volume of data to perform a 3-way partition of the data into training, validation, and test sets to perform honest assessment during the model building process. What is the purpose of the training data set?

  A. To provide an unbiased measure of assessment for the final model.
  B. To compare models and select and fine-tune the final model.
  C. To reduce total sample size to make computations more efficient.
  D. To build the predictive models.
  A. To provide an unbiased measure of assessment for the final model.

• Question 26:

  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 B
  C. Option C
  D. Option D
  C. Option C

• Question 27:

  Including redundant input variables in a regression model can:

  A. Stabilize parameter estimates and increase the risk of overfitting.
  B. Destabilize parameter estimates and increase the risk of overfitting.
  C. Stabilize parameter estimates and decrease the risk of overfitting.
  D. Destabilize parameter estimates and decrease the risk of overfitting.
  B. Destabilize parameter estimates and increase the risk of overfitting.

• Question 28:

  A financial services manager wants to assess the probability that certain clients will default on their Home Equity Line of Credit (HELOC). A former employee left the code listed below.

  

  The training data set is named HELOC, while a similar data set of more recent clients is named RECENT_HELOC. Which SAS data steps will calculate the predicted probability of default on recent clients? (Choose two.)

  

  A. Option A
  B. Option B
  C. Option C
  D. Option D
  A. Option A
  B. Option B

• Question 29:

  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%
  D. Training: 50% Validation: 50% Testing: 0%

• Question 30:

  The SAS data set RESULT contains the following variables:

  1.

  Region (GrpA or GrpB)

  2.

  Sales (dollars per year)

  Which SAS programs can be used to find the p-value for comparing GrpA sales with GrpB sales? (Choose two.)

  

  A. Option A
  B. Option B
  C. Option C
  D. Option D
  A. Option A
  B. Option B