Free SASInstitute A00-255 Exam Dumps Questions & Answers

Open the diagram labeled Practice A within the project labeled Practice A. Perform the following in SAS Enterprise Miner:

1. Set the Clustering method to Average.
2. Run the Cluster node.
What is the Importance statistic for MTGBal (Mortgage Balance)?
Response:

• A.  0.42541
• B.  0.60485
• C.  0.32959
• D.  0.42667

Refer to the exhibit:

The SAS data set retail contains information on the count of retail store sales based on the following item types: bargain, essential, gourmet, and health. Based on the results from the Cluster Profile node, which statement is true?
Select one:
Response:

• A.  The overall distribution of essential item sales is approximately normal and Segment 1 contains stores selling fewer than average essential items.
• B.  The overall distribution of bargain item sales is left-skewed and Segment 4 contains stores selling fewer than average bargain items.
• C.  The overall distribution of essential item sales is right skewed and Segment 4 contains stores selling higher than average essential items.
• D.  The overall distribution of bargain item sales is approximately normal and Segment 1 contains stores selling fewer than average bargain items.

1. Create a project named Insurance, with a diagram named Explore.
2. Create the data source, DEVELOP, in SAS Enterprise Miner. DEVELOP is in the directory c:\workshop\Practice.
3. Set the role of all variables to Input, with the exception of the Target variable, Ins (1= has insurance, 0= does not have insurance).
4. Set the measurement level for the Target variable, Ins, to Binary.
5. Ensure that Branch and Res are the only variables with the measurement level of Nominal.
6. All other variables should be set to Interval or Binary.
7. Make sure that the default sampling method is random and that the seed is 12345.
What is the mean credit card balance (CCBal) of the customers with a variable annuity?
Response:

• A.  $9,586.55
• B.  $11,142.45
• C.  $8,711.65
• D.  $0.00

For the Variable Selection node, which statement describes the R-squared variable selection criterion?
Select one:
Response:

• A.  It is similar to a decision tree algorithm in being able to detect nonlinear and non-additive relationships between inputs and the target.
• B.  It looks for a set of colinear inputs that correlate with the target.
• C.  It uses a chi-squared Decision Tree with no Bonferoni adjustment to select the relevant inputs.
• D.  It uses a squared correlation and then a stepwise regression to eliminate irrelevant inputs.

If the bank wanted to select the best model based on the models' overall performances on the validation data as measured by the average squared error, then the best model is which of the following?
Response:

• A.  Decision Tree (3-way)
• B.  Regression
• C.  Decision Tree
• D.  Neural Network