PR000005 exam dumps

Informatica PR000005 Value Package

(Include: PDF + Desktop Test Engine + Online Test Engine)

  • Exam Code: PR000005
  • Exam Name: Data Quality 9.x Developer Specialist
  • No. of Questions: 70 Questions and Answers
  • Updated: Sep 01, 2026

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Read the Informatica Data Quality 9.x Developer (PR000005) Certification Exam certified salary below

The average Salary of a Informatica Data Quality 9.x Developer (PR000005) Certified Expert in

  • England - 74,678 POUND
  • Europe - 88,396 EURO
  • United State - 98,000 USD
  • India - 82,745 INR

Read the Informatica Data Quality 9.x Developer (PR000005) Certification Exam topics below

Candidates must know the exam topics before they start of preparation. Because it will really help them in hitting the core. Our Informatica Data Quality 9.x Developer PR000005 exam dumps will include the following topics:

  • Infomatica Overview 20%
  • PR000005 Address Validation 14%
  • Profiling and Standardization 15%
  • Analyst Collaboration 20%
  • Consolidation and DQA 15%
  • Iformatica General Web Application Probing 16%

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  • Informatica Data Quality 9.x Developer (PR000005) has the knowledge to use the tools to complete the task efficiently and cost effectively than the other non-certified professionals lack in doing so.

  • Informatica Data Quality 9.x Developer (PR000005) will be confident and stand different from others as their skills are more trained than non-certified professionals.

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Reference: https://www.informatica.com/services-and-training/certification/data-quality-certification.html#fbid=M68tJ9Yt3El

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Read the Informatica Data Quality 9.x Developer (PR000005) Certification Exam Requirements below

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Informatica PR000005 Exam Syllabus Topics:

SectionObjectives
IDQ Development and Workflows- Mapping development in Developer tool
- Reusable components and mapplets
- Workflow creation and execution
Data Quality Management and Deployment- Deployment of IDQ solutions
- Repository management
Matching and Consolidation- Match rules and survivorship logic
- Identity matching and duplicate detection
Data Cleansing and Standardization- Data cleansing transformations in IDQ
- Standardization rules and parsing strategies
Data Quality Fundamentals- Informatica Data Quality (IDQ) architecture
- Data quality concepts and lifecycle
Data Profiling and Analysis- Source data assessment and anomaly detection
- Data profiling techniques and statistics

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