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Data-Quality-10-Developer-Specialist Data Quality 10: Developer Specialist Exam Questions and Answers

Questions 4

Should data be standardized before it reaches the Address Validator?

Options:

A.

Yes, street and directional abbreviations should always be expanded to their unabbreviated form.

B.

No, any change may cause problems to the AV transformation.

C.

Yes, if after review, specific problems have been identified that are causing address to not validate that otherwise would.

D.

Yes, they should all be upper case.

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Questions 5

Which is the best combination of functions to effectively implement a data quality project?

Options:

A.

Company Executives & IT

B.

IT & Business

C.

IT & Administration

D.

Sales & Marketing

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Questions 6

With regard to a Basic Import which of the following is FALSE?

Options:

A.

Once added, the target will display resolution for each folder imported.

B.

A conflict resolution can be selected to apply to all imported objects.

C.

Default is replace, options include rename or reuse.

D.

The import can consist of an XML file and a Zip file containing the reference tables

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Questions 7

When would you use the DQA?

Options:

A.

On suspect/exception records that fall out of a profile, standardization or matching process in IDQ

B.

On records that could not be matched in a matching mapping

C.

On records that are output from the Consolidation transformation

D.

On records that are output from the Association transformation

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Questions 8

Which two of the following values can be parameterized in the Match transformation? Choose 2 answers

Options are :

Options:

A.

Threshold values

B.

Scoring methods

C.

Match Field Inputs

D.

Weights

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Questions 9

Select the transformation that will not allow a DQ mapplet to validate as a rule in version 9.1.

Options:

A.

Expression Transformation

B.

Address Validation Transformation

C.

Aggregator Transformation

D.

Labeler Transformation

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Questions 10

You want to derive the gender from a firstname, how would you do this?

Options:

A.

Use a reference table with the firstname as the valid column and the gender in the second column. Then choose to Replace Reference Table Matches with Valid Values when applying the reference table in a strategy in the Standardizer. Use the firstname as input.

B.

Use a reference table with the gender as the valid column and the firstname in next column. Then choose to Replace Reference Table Matches with Valid Values when applying the reference table in a strategy in the Standardizer. Use the firstname as input.

C.

Use a decision and create an If then else rule eg: If fname = 'Jennifer' then gender: = 'F' Endif

D.

Use a reference table with the gender as the valid column and the firstname in next column. Then choose to Replace Reference Table Matches with Custom Strings when applying the reference table in a strategy in the Standardizer. Use the firstname as input.

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Exam Name: Data Quality 10: Developer Specialist Exam
Last Update: Dec 4, 2024
Questions: 70

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