Informatica
PR000005
Q1:
What Data Quality Transformation utilizes Identity populations?
○
A
Key Generator Transformation○
B
Match Transformation○
C
Edit Distance Transformation○
D
Comparison Transformation
Informatica
PR000005
Q2:
Which phrase best describes how organizations should view their approach to data quality?
○
A
As a one-off project addressing the issues in their data warehouse in batch○
B
As an ongoing process addressing issues over time with a combination of fit-for-purpose approaches○
C
As a real-time process addressing issues as they are introduced○
D
As a batch process to be implemented to run on a monthly basis
Informatica
PR000005
Q3:
Which of the following cannot be executed in BOTH the Analyst and the Developer Tool?
○
A
A rule created in the Analyst Tool○
B
A mapplet created in the Developer Tool and validated as a rule○
C
A mapplet created in the Developer Tool and validated as a mapplet○
D
A reusable rule created in the Analyst Tool
Informatica
PR000005
Q4:
What is the primary purpose of grouping data?
○
A
standardize data in preparation for matching○
B
normalize data in preparation for matching○
C
Improve match performance○
D
improve match results
Informatica
PR000005
Q5:
What is required for customers to access and use IDQ Accelerator content?
○
A
Customers must license each Accelerator pack individually to download and use the content.○
B
No additional steps are required. All Accelerator content is provided with the basic IDQ license.○
C
IDQ customers simply need to request an IPS resource to download and install the content.○
D
Accelerator content is available only with a PowerCenter license.