Question 1

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

Options :

A : No standardization is necessary, map input fields to the match transformation

B :

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

C :

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

D :

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

Answer: D

Question 2

What must you do in order to utilize Data Quality accelerators in PowerCenter? Choose 2 answers

Options :

A : Import accelerators directly to Power Center

B : Install accelerators directly to PowerCenter

C : Install accelerators into Developer

D : Export accelerator mapplets and/or mappings to PowerCenter

Answer: B,D

Question 3

Where does Scorecarding fit into the data quality process? Options are :

Options :

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

D : At the end of the process only to prove the value of the data quality tool

Answer: C

Question 4

What Address Validator output field should you use to determine the quality of addressvalidated?

Options :

A : Locality / City

B : ElementlnputStatus

C : Match Code

D : MSA

Answer: A

Question 5

IDQ parameters can be defined at what levels? Choose 4 answers

Options :

A : Mappings

B : Mapplets

C : Re-usable Transformations

D : Rules

Answer: A,B,C,D

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