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Second, focus. In order to do the things we decided to complete, we have to give up all the unimportant opportunities. Third, the quality of the product.
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Data-Quality-10-Developer-Specialist PDF DEMO:
QUESTION NO: 1
When would you use the DQA?
A. On records that could not be matched in a matching mapping
B. On suspect/exception records that fall out of a profile, standardization or matching process in IDQ
C. On records that are output from the Consolidation transformation
D. On records that are output from the Association transformation
Answer: C
QUESTION NO: 2
Where does Scorecarding fit into the data quality process?
Options are :
A. Not at all - Scorecardlng is a separate process
B. At the start of the process only to assess current data quality levels
C. At the end of the process only to prove the value of the data quality tool
D. At the start and during regular intervals of the process to measure on-going data quality levels
Answer: D
QUESTION NO: 3
Users would export DQ mappings to PowerCenter for which of the following reasons? (Choose
4 answers)
A. Performance
B. DQ as part of ETL process
C. Batch access
D. Scalability
Answer: A,B,C,D
Explanation
NOTE: Absurd Question. All options are right?????
QUESTION NO: 4
Which two are index key levels in Identity Matching? Choose 2 answers
A. Typical
B. Extended
C. Limited
D. Narrow
Answer: A,D
QUESTION NO: 5
What Data Quality Transformation utilizes Identity populations?
A. Comparison Transformation
B. Edit Distance Transformation
C. Match Transformation
D. Key Generator Transformation
Answer: A
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Updated: May 28, 2022