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Read the Informatica Data Quality 9.x Developer (PR000005) Certification Exam formate below
- Number of Questions: 70
- Language: English
- Passing score: 70%
- Length of Examination: 90 minutes
- Format: Multiple choices, multiple answers
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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
- India - 82,745 INR
- United State - 98,000 USD
- Europe - 88,396 EURO
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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 | Weight | Objectives |
|---|---|---|
| Address Validation & Enrichment | 15% | - Enrich data with reference data - Configure address validation transformation - Validate and standardize global addresses |
| Data Profiling | 20% | - Configure and run data profiling - Understand data quality metrics and patterns - Analyze profiling results and identify anomalies |
| Data Standardization & Cleansing | 25% | - Configure standardization transformations - Troubleshoot standardization logic - Implement parsing and normalization rules |
| Project & Workflow Development | 15% | - Use Informatica Developer tool - Manage dependencies and resolution - Collaborate and deploy projects - Work with parameters and mappings |
| Data Matching & Consolidation | 25% | - Create survivor records and consolidate duplicates - Configure Identity Matching options - Design and build match plans - Tune match strategies and thresholds |



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