Practical A00-240 Free Practice Questions 2021

NEW QUESTION 1
Refer to the lift chart:

What does the reference line at lift = 1 corresponds to?

• A. The predicted lift for the best 50% of validation data cases
• B. The predicted lift if the entire population is scored as event cases
• C. The predicted lift if none of the population are scored as event cases
• D. The predicted lift if 50% of the population are randomly scored as event cases

Answer: B

NEW QUESTION 2
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.

Answer: D

NEW QUESTION 3
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?

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

Answer: C

NEW QUESTION 4
One common approach for predicting rare events in the LOGISTIC procedure is to build a model that disproportionately over-re presents those cases with an event occurring (e.g. a 50-50 event/non-event split).
What problem does this present?

• A. All parameter estimates are biased.
• B. Only the intercept estimate is biased.
• C. Only the non-intercept parameter estimates are biased.
• D. Sensitivity estimates are biased.

Answer: B

NEW QUESTION 5
Which of the following describes a concordant pair of observations in the LOGISTIC procedure?

• A. An observation with the event has an equal probability as another observation with the event.
• B. An observation with the event has a lower predicted probability than the observation without the event.
• C. An observation with the event has an equal predicted probability as the observation without the event.
• D. An observation with the event has a higher predicted probability than the observation without the event

Answer: D

NEW QUESTION 6
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:
✑ Target variable Respond (0,1)
✑ Continuous predictor Income
✑ Categorical predictor Homeowner(Y,N)
Which SAS program performs this analysis?

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

Answer: A

NEW QUESTION 7
Which method is NOT an appropriate way to score new observations with a known target in a logistic regression model?

• A. Use the SCORE statement in the LOGISTIC procedure.
• B. Augment the training data set with new observations and set their responses to missing.
• C. Augment the training data set with new observations and rerun the LOGISTIC procedure.
• D. Use the saved parameter estimates from the LOGISTIC procedure and score new observations in the SCORE procedure.

Answer: C

NEW QUESTION 8
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 Pearson statistics?

• A. OUTPUT=estimates
• B. OUTP=estimates
• C. OUTSTAT=estimates
• D. OUTCORR=estimates

Answer: B

NEW QUESTION 9
Given the following LOGISTIC procedure:

What is the difference between the datasets OUTFILEJ and OUTFILE_2?

• A. OUTFILE_1 contains the final parameter estimates while OUTFILE_2 contains the newly scored probabilities.
• B. OUTFILE_1 contains the model goodness of fit statistics while OUTFILE_2 contains the newly scored probabilities
• C. OUTFILE_1 contains the model goodness of fit statistics while OUTFILE_2 contains the newly scored logits.
• D. OUTFILEJ contains the final parameter estimates and Wald Chi-Square values while OUTFILE_2 contains the newly scored probabilities.

Answer: A

NEW QUESTION 10
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

Answer: C

NEW QUESTION 11
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?

• A. Scoredata=valid1 out=roc;
• B. Scoredata=valid1 outroc=roc;
• C. mode1resp(event= '1') = gender region/outroc=roc;
• D. mode1resp(event"1") = gender region/ out=roc;

Answer: B

NEW QUESTION 12
Which SAS program will detect collinearity in a multiple regression application?

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

Answer: B

NEW QUESTION 13
An analyst fits a logistic regression model to predict whether or not a client will default on a loan. One of the predictors in the model is agent, and each agent serves 15-20 clients each. The model fails to converge. The analyst prints the summarized data, showing the number of defaulted loans per agent. See the partial output below:

What is the most likely reason that the model fails to converge?

• A. There is quasi-complete separation in the data.
• B. There is collinearity among the predictors.
• C. There are missing values in the data.
• D. There are too many observations in the data.

Answer: A

NEW QUESTION 14
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?

• A. The sample means from the validation data set are applied to the training and test data sets.
• B. The sample means from the training data set are applied to the validation and test data sets.
• C. The sample means from the test data set are applied to the training and validation data sets.
• D. The sample means from each partition of the data are applied to their own partition.

Answer: B

NEW QUESTION 15
What is the default method in the LOGISTIC procedure to handle observations with missing data?

• A. Missing values are imputed.
• B. Parameters are estimated accounting for the missing values.
• C. Parameter estimates are made on all available data.
• D. Only cases with variables that are fully populated are used.

Answer: D

NEW QUESTION 16
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. Medium wrist size is significantly different than small wrist size.
• B. Large wrist size is significantly different than medium wrist size.
• C. Large wrist size is significantly different than small wrist size.
• D. There is no significant difference due to wrist size.

Answer: C

NEW QUESTION 17
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?

• A. X=40, Y=10
• B. X=.05, Y=10
• C. X=.05, Y=.40
• D. X=.10.Y=05

Answer: B