SAS Institute A00-240 Online Practice Questions and Exam Preparation

SAS Institute A00-240 Online Questions & Answers

• Question 91:

  What is a drawback to performing data cleansing (imputation, transformations, etc.) on raw data prior to partitioning the data for honest assessment as opposed to performing the data cleansing after partitioning the data?

  A. It violates assumptions of the model.
  B. It requires extra computational effort and time.
  C. It omits the training (and test) data sets from the benefits of the cleansing methods.
  D. There is no ability to compare the effectiveness of different cleansing methods.
  D. There is no ability to compare the effectiveness of different cleansing methods.

• Question 92:

  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 are irrelevant to the validation data, and are not used.
  B. The imputed values must be applied directly to the validation data without recalculation.
  C. The imputed values must be recalculated using the validation data.
  D. The imputed values must be recalculated using both the training and the validation data.
  C. The imputed values must be recalculated using the validation data.

• Question 93:

  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. R-Square
  B. Coeff Var
  C. Adj R-Sq
  D. Error DF
  C. Adj R-Sq

• Question 94:

  The selection criterion used in the forward selection method in the REG procedure is:

  A. Adjusted R-Square
  B. SLE
  C. Mallows' Cp
  D. AIC
  B. SLE

• Question 95:

  After performing an ANOVA test, an analyst has determined that a significant effect exists due to income. The analyst wants to compare each Income to all others and wants to control for experimentwise error.

  Which GLM procedure statement would provide the most appropriate output?

  A. lsmeans Income / pdiff=control adjust=dunnett;
  B. lsmeans Income / pdiff=control adjust=t;
  C. lsmeans Income / pdiff=all adjust=tukey;
  D. lsmeans Income / pdiff=all adjust=t;
  A. lsmeans Income / pdiff=control adjust=dunnett;

• Question 96:

  There are missing values in the input variables for a regression application. Which SAS procedure provides a viable solution?

  A. GLM
  B. VARCLUS
  C. STDI2E
  D. CLUSTER
  C. STDI2E

• Question 97:

  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:

  1.

  Target variable Respond (0, 1)

  2.

  Continuous predictor Income

  3.

  Categorical predictor Homeowner(Y, N) Which SAS program performs this analysis?

  

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

• Question 98:

  The total modeling data has been split into training, validation, and test data. What is the best data to use for model assessment?

  A. Training data
  B. Total data
  C. Test data
  D. Validation data
  D. Validation data

• Question 99:

  Which SAS program will correctly use backward elimination selection criterion within the REG procedure?

  

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