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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.
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Informatica PR000005 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: IDQ Development and Workflows | - Workflow creation and execution - Mapping development in Developer tool - Reusable components and mapplets |
| Topic 2: Data Cleansing and Standardization | - Standardization rules and parsing strategies - Data cleansing transformations in IDQ |
| Topic 3: Matching and Consolidation | - Identity matching and duplicate detection - Match rules and survivorship logic |
| Topic 4: Data Profiling and Analysis | - Data profiling techniques and statistics - Source data assessment and anomaly detection |
| Topic 5: Data Quality Management and Deployment | - Repository management - Deployment of IDQ solutions |
| Topic 6: Data Quality Fundamentals | - Data quality concepts and lifecycle - Informatica Data Quality (IDQ) architecture |



