You need to ensure that more accurate matches are made by the Fuzzy Lookup transformationwithout degrading performance

You develop a SQL Server Integration Services (SSIS) package that imports SQL Azure data into a data
warehouse every night. The SQL Azure data contains many misspellings and variations of abbreviations. To
import the data, a developer used the Fuzzy Lookup transformation to choose the closest-matching string from
a reference table of allowed values. The number of rows in the reference table is very large. If no acceptable
match is found, the Fuzzy Lookup transformation passes a null value. The current setting for the FuzzyLookup
similarity threshold is 0.50. Many values are incorrectly matched. You need to ensure that more accurate
matches are made by the Fuzzy Lookup transformationwithout degrading performance. What should you do?

You develop a SQL Server Integration Services (SSIS) package that imports SQL Azure data into a data
warehouse every night. The SQL Azure data contains many misspellings and variations of abbreviations. To
import the data, a developer used the Fuzzy Lookup transformation to choose the closest-matching string from
a reference table of allowed values. The number of rows in the reference table is very large. If no acceptable
match is found, the Fuzzy Lookup transformation passes a null value. The current setting for the FuzzyLookup
similarity threshold is 0.50. Many values are incorrectly matched. You need to ensure that more accurate
matches are made by the Fuzzy Lookup transformationwithout degrading performance. What should you do?

A.
Decrease the maximum number of matches per lookup.

B.
Change the similarity threshold to 0.55.

C.
Change the Exhaustive property to True.

D.
Increase the maximum number of matches per lookup.

Explanation:
According to this reference, this answer looks correct.
Reference: http://msdn.microsoft.com/en-us/library/ms137786.aspx



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