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1. The Distribution node produces which output? (Choose two.)
A) Chart showing the distribution for a continuous field
B) Table displaying the percentage and count for each category of a field
C) Summary statistics for a continuous field
D) Chart showing the count for each category of a field
2. Which Model nodes can have a categorical target field? (Choose three.)
A) C&R Tree node
B) Linear node
C) Discriminant node
D) Neural Net node
3. The Analysis node can be very useful with regard to model evaluation. Consider this output from the Analysis node.
When comparing the overall accuracy of the Neural Net model to the 05 model, the Neural Net model is:
A) Not determined
B) Less accurate
C) More accurate
D) The same accuracy
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) A+B+C+D
B) sum_n([A, B, C, D])
C) to_real(A) + to_real(B) + to_real(C) + to_real(D)
D) Sum_n((ABCIJ))
5. In the Aggregate node, when you click on Preview button, which statement is true?
A) The Aggregate node does not have a Preview option.
B) The preview will always be before aggregation.
C) The preview will always be after aggregation.
D) The preview will by default be before aggregation but that can be changed.
Solutions:
Question # 1 Answer: B,D | Question # 2 Answer: A,C,D | Question # 3 Answer: B | Question # 4 Answer: B | Question # 5 Answer: C |
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