Informatica Data Quality 10: Developer Specialist Exam Data-Quality-10-Developer-Specialist Exam Dumps: Updated Questions & Answers (September 2025)

Edit Distance

Bigram

Hamming Distance

Jaro Distance

Consolidation

Match and Association

Key Gen and Consolidation

Key Gen, Association and Consolidation

Customers must license each Accelerator pack individually to download and use the content.

No additional steps are required. All Accelerator content is provided with the basic IDQ license.

IDQ customers simply need to request an IPS resource to download and install the content.

Accelerator content is available only with a PowerCenter license.

Standardization converts data to standardized formats

Standardization can remove "noise"

Standardization corrects and automatically updates the data in your source system

Standardization can remove or replace bad or inconsistent data

Rules

Reference tables

Demonstration mappings

Demonstration data objects

Profiles

Column Profiling

Mid Stream Profiling

Join Analysis Profile

Comparative Profiling

There is no specific reason. It is simply a step of an ordered best practice approach.

It is good because it is easier to determine if a field is numeric or text.

Values with leading spaces or punctuation will typically sort to the top or bottom making them easier to identify.

None of the above.

Column profiling automatically recognizes all functional and other dependencies in all tables, in particular the primary keys

Column profiling is the process of looking at every distinct value to determine the true minimum, maximum, data type, pattern and other important information about each attribute

Column profiling identifies the attributes for referential integrity

Column profiling is the process of creating a normalized schema for your target system

Company Executives & IT

IT & Business

IT & Administration

Sales & Marketing

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.

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.

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

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.