Informatica PR000005 Quiz 6 Topic 7 Questions 26-30

Question: 1

Which of the following is not true when it comes to creating and updating Reference Tables?

AReference Tables can be updated from a Value Frequency list in the Developer

BAll except Un-Managed Reference Tables can be updated through the Reference Table Manager in the Analyst

CReference Tables maintained in the Analyst and Developer tools are stored in separate repositories

DReference Tables can be imported and exported using the Developer Tool

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Question: 2

Which of the following cannot be executed in BOTH the Analyst and the Developer Tool?

AA rule created in the Analyst Tool

BA mapplet created in the Developer Tool and validated as a rule

CA mapplet created in the Developer Tool and validated as a mapplet

DA reusable rule created in the Analyst Tool

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Question: 3

With respect to field matching in IDQ, which best describes the approach to address matching?

ANo standardization is necessary, map input fields to the match transformation

BStandardize address fields and use address line, locality, region and postcode fields as input to the match transformation

CStandardize address fields and use the discrete address component fields, locality, region and postcode fields as input to the match transformation

DStandardize address fields, create a group key field which contains parts of the address fields and only use the group key for address matching

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Question: 4

When matching, is it always necessary to group data?

AOnly if the customer thinks it's a good idea

BOnly if the quality of the data is poor

CNot always. If the dataset is small enough, grouping is not required

DYes, it's always necessary

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Question: 5

Where does Scorecarding fit into the data quality process?

ANot at all - Scorecardlng is a separate process

BAt the start of the process only to assess current data quality levels

CAt the start and during regular intervals of the process to measure on-going data quality levels

DAt the end of the process only to prove the value of the data quality tool

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Informatica PR000005 Quiz:6 Topic:7 Questions:26-30