When is sampling for Profiling a good idea?
A) When the data set contains sensitive information like credit card numbers.
B) When the probability of data quality issues is small.
C) When the client provides assurances the quality of the data is good.
D) When the volume of data is large and there are storage and/or time constraints.
Correct Answer:
Verified
Q26: Where does Scorecarding fit into the data
Q27: When matching, is it always necessary to
Q28: IDQ parameters can be defined at what
Q29: What functionality does Data Quality Assistant provide?
Q30: Which parameter function is supported in IDQ
Q32: Which Informatica option provides solutions to common
Q33: Which transformations can be used in DQ
Q34: Which of the following is not a
Q35: What happens to the records when corrections
Q36: If the inputs to the Edit Distance
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