Online Access Free SASInstitute.A00-485.v2025-03-08.q65 Practice Test (Page 8)

A00-485 Exam Question 31

In SAS Visual Analytics, which of the following tasks involves converting a categorical variable into a numerical one?

A.Creating a dummy variable

B.Aggregating a measure

C.Replacing dirty data

D.Transforming a variable

A00-485 Exam Question 32

How can you interpret model results using the advanced group-by feature in SAS Visual Analytics?

A.Explore interaction effects between the group-by variable and other predictors

B.Review the model coefficients for each level of the group-by variable

C.Visualize the predicted values for each level of the group-by variable

D.Analyze the impact of different levels of the group-by variable on the model outcome

A00-485 Exam Question 33

When performing decision tree analysis in SAS Visual Statistics, how does the property setting for
"include missing" modify the usage of missing values within categorical discrete predictors?

A.imputes the mean of the predictor's known values

B.assigns the smallest available machine value

C.assigns its own level

D.imputes the median of the predictor's known values

A00-485 Exam Question 34

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 increase and the predicted probabilities remain unchanged.

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

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

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

A00-485 Exam Question 35

Why are decision trees a useful technique for segmentation?

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

Latest Upload: 135Oracle.1D0-1057-25-D.v2026-06-03.q29; 269NAHQ.CPHQ.v2026-06-03.q396; 252CompTIA.220-1201.v2026-06-03.q196; 154GIAC.GCFE.v2026-06-03.q78; 148HIMSS.CPHIMS.v2026-06-03.q45; 231Google.Professional-Cloud-Architect.v2026-06-03.q165; 150HP.HPE7-A09.v2026-06-02.q48; 160ACDIS.CCDS-O.v2026-06-02.q56; 137Microsoft.AB-730.v2026-06-02.q31; 209ASQ.CSSBB.v2026-06-02.q130

A00-485 Exam Question 31

A00-485 Exam Question 32

A00-485 Exam Question 33

A00-485 Exam Question 34

A00-485 Exam Question 35

Download PDF File