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Informatica Data-Quality-10-Developer-Specialist - Data Quality 10: Developer Specialist Exam

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Total 70 questions

What Data Quality Transformation utilizes Identity populations?

A.

Key Generator Transformation

B.

Match Transformation

C.

Edit Distance Transformation

D.

Comparison Transformation

Which is true with regard to Profiles?

A.

The Developer can only review Profiles created by the Analyst but can not create any profiles themselves

B.

The Developer can take Analyst built profiles with rules and generate a mapping ensuring lossless translation of Information between specification and Implementation.

C.

Comments, Tags and Rules can only be applied to profiles in the Analyst Tool

D.

Only one Tag can be applied to each object in a project.

When importing a flat file into a project. Developer and Analyst Tool work exactly the same

Options are :

A.

TRUE

B.

FALSE

What functionality does Data Quality Assistant provide? Choose 2 answers

Options are :

A.

Consolidate duplicates into master record

B.

Bad record management

C.

Automatically consolidates data

D.

ReGroup records for matching

Which two of the following values can be parameterized in the Match transformation? Choose 2 answers

Options are :

A.

Threshold values

B.

Scoring methods

C.

Match Field Inputs

D.

Weights

Users would export DQ mappings to PowerCenter for which of the following reasons? (Choose 4 answers)

A.

Performance

B.

Scalability

C.

Batch access

D.

DQ as part of ETL process

How much data can DQA handle?

Options are :

A.

2000 rows and 20 columns

B.

Million rows and 100 columns

C.

There are no built-in restrictions. Large deployments will require more hardware and database tuning

D.

Maximum 1 million rows and up to 10,000 columns

What is the primary purpose of grouping data?

Options are :

A.

standardize data in preparation for matching

B.

normalize data in preparation for matching

C.

Improve match performance

D.

improve match results

Which definition describes Column Profiling?

Options are :

A.

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

B.

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

C.

Column profiling identifies the attributes for referential integrity

D.

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

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

Options are :

A.

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

B.

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

C.

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

D.

Reference Tables can be imported and exported using the Developer Tool