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Informatica provides the market-leading data integration platform. There are 500,000 combinations of applications and platforms tested. The data integration platform works with the widest possible range of disparate standards, systems, and applications. This impartial and universal vision makes Informatica unique on the current market as a leader in the data integration platform. So, Informatica becomes the ideal strategic platform for companies wishing to solve data integration problems of any size.
To Pass Data Quality 9.x Developer Specialist Certification, a candidate must pass a written, supervised in-person or webcam exam. The specialized test confirms that the person understands the product and can apply the skills and abilities necessary to contribute to a project as a member of the complete team.
Informatica Data Quality 9.x Developer (PR000005) Exam
This PR000005 exam is related to the Informatica Data Quality 9.x Developer Certification. This exam is designed for Developers who are new to Informatica Data Quality. Informatica Developer is a frequently used desktop client tool that developers can use to profile, clean, standardize, duplicate and consolidate data in a business. This exam also deals with the ability to working with the Developer Tool, performing tasks such as creating projects and objects, profiling data and identifying anomalies.
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Informatica PR000005 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Data Quality Fundamentals | - Data quality concepts and lifecycle - Informatica Data Quality (IDQ) architecture |
| Data Cleansing and Standardization | - Data cleansing transformations in IDQ - Standardization rules and parsing strategies |
| Data Profiling and Analysis | - Source data assessment and anomaly detection - Data profiling techniques and statistics |
| IDQ Development and Workflows | - Mapping development in Developer tool - Reusable components and mapplets - Workflow creation and execution |
| Matching and Consolidation | - Match rules and survivorship logic - Identity matching and duplicate detection |
| Data Quality Management and Deployment | - Repository management - Deployment of IDQ solutions |
