Modeling Using SAS Visual Statistics - A00-485 Exam Practice Test

Question 1

When specifying Cluster Roles for Cluster Analysis in SAS Visual Statistics, which condition is correct?

A. Interaction items are allowed.

B. At least two variables are required.

C. Category items are not allowed.

D. A target variable is required.

Correct Answer: B

Question 2

What is the primary purpose of scoring functionality in SAS Visual Statistics?

A. To evaluate model performance on a test dataset

B. To select the best model for a given dataset

C. To assess the distribution of predictor variables

D. To generate code for deploying models in production

Correct Answer: A,D

Question 3

Refer to the exhibit:

How many predictor variables would be included in the score code produced by this model?

A. 5

B. 13

C. 7

D. 8

Correct Answer: A

Question 4

When filtering data for a model in SAS Visual Analytics, what can you do to exclude selections and filter data?

A. Use the exclude option when setting up a filter

B. Define a filter condition using the interactive filter pane

C. Apply a data filter on the visualization

D. Specify exclusion criteria in the data source properties

Correct Answer: A,B,C,D

Question 5

When performing a logistic regression in SAS Visual Statistics, the default prediction cutoff is .50. If you increase the cutoff to .80 then derive predicted values, which statement is the expected outcome?

A. The predicted events decrease and the predicted probabilities remain unchanged.

B. The predicted events remain unchanged and the predicted probabilities decrease.

C. The predicted events increase and the predicted probabilities remain unchanged.

D. The predicted events remain unchanged and the predicted probabilities increase.

Correct Answer: A

Question 6

Why are decision trees a useful technique for segmentation?

A. Trees split the response into heterogeneous groups, while minimizing the difference in the response of the groups.

B. Trees split data into smaller cells which are decreasingly "pure".

C. Trees treat each split cell dependently based on earlier split decisions.

D. Trees split the response into homogeneous groups, while maximizing the difference in the response of the groups.

Correct Answer: D

Question 7

How is prediction typically performed in logistic regression?

A. By estimating the probability of an event for each observation

B. By fitting a straight line through the data points

C. By maximizing the likelihood of the response variable

D. By calculating the mean of the response variable

Correct Answer: A

Question 8

What do cluster properties refer to in the context of cluster analysis?

A. Characteristics shared by data points within a cluster

B. Descriptive statistics of individual data points

C. The number of clusters in the analysis

D. A measure of data point centrality

Correct Answer: A

Question 9

What is the primary purpose of concordance statistics in model comparison?

A. To assess the multicollinearity among predictors

B. To calculate the p-values of predictor variables

C. To evaluate the relationship between two predictor variables

D. To measure the balance between sensitivity and specificity

Correct Answer: D

Question 10

Refer to the exhibits:

An analyst has created a cluster model based on the settings in Exhibit 1 and chose to derive a cluster ID variable.
Why are there 6 cluster IDs in Exhibit 2 based on these settings?

A. There are observations with missing values.

B. Variable Standardization has been chosen.

C. Cluster Diagram Visible Roles setting is 6.

D. Parallel Coordinates Visible Roles setting is 6.

Correct Answer: A

Question 11

When examining the Fit Summary for group-by models, what can you analyze to evaluate the model fit?

A. p-value for the group-by variable

B. AIC (Akaike Information Criterion)

C. BIC (Bayesian Information Criterion)

D. R-squared value

Correct Answer: B,C,D

Question 12

In model assessment, why might you need to assess residuals and other model diagnostics to choose an appropriate distribution and link function?

A. To calculate the p-values of predictor variables

B. To verify if the chosen model assumptions are met and make adjustments if necessary

C. To ensure that predictor variables are not highly correlated

D. To determine the order of predictor variables in the model

Correct Answer: B

SASInstitute Modeling Using SAS Visual Statistics - A00-485 Exam Practice Test

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