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NO.1 Which outlier treatment is not available in the Quality tab of the Data Audit output?

A. Coerce

B. Nullify

C. Recode

D. Discard

Answer: C

NO.2 Which values are available as Field Roles? (Choose three.)

A. Input

B. Target

C. Nominal

D. Partition

Answer: A,B,D

NO.3 Assume you have two data files: a personnel file with information about employees and a

second

file with information about performance categories. You will use IBM SPSS Modeler to merge the

files together using performance category as the key. However, there are inconsistencies in the

category keys used in both the personnel file and the performance file. In order to merge the files

together without losing information from either the personnel file or the performance category file,

you would use:

A. A full outer join.

B. An inner join.

C. A partial outer join.

D. An anti-join.

Answer: A

NO.4 Assume you have four fields, 4, A, C and D and you wish to find the sum of the values even if

there are $null$ missing values in one or more fields. Which expression would accomplish this

task?

A. Sum_n((ABCIJ))

B. A+B+C+D

C. sum_n([A, B, C, D])

D. to_real(A) + to_real(B) + to_real(C) + to_real(D)

Answer: C

NO.5 True or false: business objectives are the origin & every data mining solution.

A. True

B. False

Answer: A

NO.6 Which nodes are best suited for revealing relationships between categorical (nominal, ordinal)

fields? (Choose two.)

A. Means node

B. Matrix node

C. Distribution node

D. Table node

Answer: B,C

NO.7 Some data mining models such as Neural Net and Support Vector Machine models do not

provide

equations or rules to help analysts determine how the models use the input fields for prediction. If

you have a categorical target field and a continuous input field, which graphing technique could aid

with interpretation?

A. Distribution node

B. Histogram node

C. Plot node

D. Evaluation node